1209 jobs found

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a software engineer for Wayve's Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve's simulation platform, which is used to develop and evaluate Wayve's driving intelligence. Wayve's approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high signal simulations. Challenges you will own Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc. Work cross-company on aligning technical dependencies for simulator implementation Lead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platform Effectively integrate machine learned graphics subsystems into the simulation platform Implement production quality software in Python About you Essential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications Excellent development skills in Python Deep knowledge of Kubernetes at the user level Good sense of systems and data oriented software engineering design - what makes code reusable and extensible Understanding of common software performance issues and design tradeoffs 5+ years of industry experience designing and programming software Excellent communication and people engagement skills Desirable Experience in the field of autonomous vehicles or robotics Proficiency with other programming languages like Go or C++ Experience scaling simulations or data intensive workloads Experience with design, implementation, and optimization of large scale machine learning inference systems running in cloud GPU environments Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Site Reliability Engineer - Comcast Technology SolutionsApplylocations: Great Britain - London, 1 St Giles High Sttime type: Full timeposted on: Posted Todayjob requisition id: R440968Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Comcast Technology Solutions is a software technology company headquartered in Denver, Colorado, USA. We enable streaming services, TV stations, pay TV operators, content providers, broadband media sites, and mobile businesses to solve their unique media management and video publishing requirements. Our Cloud Video Platform (CVP), provided as a service, offers a diverse product catalogue. By leveraging Comcast CVP, our customers can securely manage their digital media, publish content to various IP devices, and effectively monetize their distribution directly to consumers. Our proven media management and publishing technology provides a versatile approach to meet each customer's unique business requirements and scales fluidly to support their growth. Our customers include Deutsche Telekom, Viaplay, Fox, Disney, NBC, Paramount+, and many others. Our Site Reliability Engineering (SRE) team is at the heart of our mission to deliver seamless and robust services to our users. We're a distributed team of engineers with diverse skillsets who thrive on solving complex challenges and driving innovation with a focus on improving observability and reducing toil. Job Description Core Responsibilities: Analyzes and forecasts system capacity requirements to ensure scalability and performance for high-profile events. Participate in incident response efforts, conduct post-incident reviews, and implement corrective actions and improvements to monitoring. Develop and maintain monitors and alerts across all services. Optimize system performance through tuning and configuration adjustments. Develop and maintain disaster recovery plans and procedures to ensure business continuity. Create and maintain comprehensive documentation for systems, processes, and procedures. Monitor and optimize cloud infrastructure to ensure efficient resource utilization. Identify opportunities for automation and implement solutions to reduce manual intervention. Work closely with cross-functional teams to align on goals and deliver high-quality solutions. Does not have any direct supervisory responsibilities. May direct workflow and act as a technical lead. Consistently exercises independent judgment and discretion in matters of significance. Shows regular, consistent and punctual attendance. Other duties and responsibilities as assigned. ABOUT YOU: Our people are the most important part of our business. We are fundamentally looking for forward-thinking, enthusiastic problem solvers. People who love a challenge, constantly evaluate and question, and, above all, love to ship a product that solves real problems. While these characteristics outweigh any specific technical skills, you should be able to demonstrate some of the following An understanding of wider operational performance factors influenced by the underlying infrastructure workload, such as server platforms, databases and networking. A strong drive to be a 'detective' and understand why things are working (or not working) as they should, in other words, a passion for detail and an investigative nature. The ability to proactively diagnose problems using your holistic knowledge-set - and then get busy with coding a permanent fix, rewriting a process or working with third parties to ensure that lessons are learned, and problems never recur. A vision of automation as an opportunity to overcome scale challenges, and a flexible approach to technologies. Must Have Skills: Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure). Proficiency in scripting languages (e.g., Python, Bash). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with monitoring tools (e.g., Datadog, Splunk). Experience with Database performance monitoring and tuning (e.g., NoSQL, SQL). Experience with Kubernetes performance monitoring and tuning. Excellent problem-solving skills and attention to detail. Effective communication and collaboration skills. Desirable Skills: CI/CD pipeline management Cloud Cost Optimization Automating deployment processes Front-end development (e.g., React)We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.Please visit the benefits summary on our careers site for more details. Education Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

At Great Yellow we're looking for a Senior Data Platform Engineer to join our team. About Great Yellow Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative land-use investable and scalable, helping businesses, investors, and land managers move from intention to investable action. We're proving it in the UK on landmark landscape recovery projects, with proprietary natural capital valuation models and a growing team of advisors, project managers, ecological experts, engineers, and product thinkers. Our vision continues to grow: any enterprise, anywhere, running a regenerative land-use programme at scale, on our platform. We're building the intelligence layer that will fundamentally reshape how land-use decisions are made, financed and scaled, toward a world where those decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. This is a system designed not just to analyse the world, but to actively coordinate regenerative land-use across landscapes, supply chains and asset classes. We're a small, early-stage technical team inside a wider commercial business. We ship fast, validate, and iterate. About the Role We're looking for a senior engineer to design, build, and own the data pipelines and data architecture that feed both our customer-facing platform and our internal teams, and who has the software-engineering range to jump in alongside our product engineers when the work calls for it. This is a hands on role reporting to the Head of Engineering. The volume of work isn't the challenge, the variety is. Over the next 6-12 months we expect to stand up many pipelines across very different data shapes, from statutory BNG and carbon datasets to live environmental sensor feeds and investor data products. You'll be the person who can look at a new source, pick the right pattern for it, build it, and know when and where it will strain. You'll thrive here if you like owning a work-stream end-to-end: design doc to production to iteration, without needing the thinking done for you. You're equally comfortable shaping architecture and getting your hands dirty in the code. What you'll do Design and own our data pipelines. Build and maintain robust ETL workflows across a deliberately diverse set of sources. The three dominant shapes we see today are: unifying and normalising data into a relational store with proper versioning and lineage; polling an external API and landing it as a Hive-partitioned Parquet dataset; storing document blobs and their metadata via a document-management approach. There will be many more shapes; your job is to choose the right one each time rather than force-fit a single pattern. Make sound architecture calls. Understand the difference between operational and analytical layers and design right-sized infrastructure that scales with us over time. Our focus is variety, not big data. Know which patterns suit which problems, when a new tool genuinely earns its place, and when it doesn't. Engage directly with the source. Work with subject-matter experts across the business to understand what the data means before you model it. Build for reliability. Put the hooks, monitoring, and KPIs in place to know how a pipeline is performing, where its limits are, and when it's degrading, before someone else notices. Contribute to the platform. Pair with our Senior Software Developer on the customer-facing product (currently a lean, Cloudflare-native TypeScript / React stack in a monorepo). Critique designs, raise the bar, and help us build features that are well-tested and built to last. Use AI as a lever, not a crutch. We expect strong day-to-day fluency with AI-assisted development: planning, refactoring, reviewing, catching bugs and security issues, moving faster as a small team. But we need a senior who can architect and build from first principles, not someone who leans on the tools to paper over gaps. Help shape what's next. We're not event-driven today, but that's a likely direction. You'll have real influence over the stack and the standards as the team grows. What we're looking for Data engineering depth. Demonstrable experience designing, building, and maintaining production data pipelines across heterogeneous sources, strong SQL and data-modelling skills, and real ELT/ETL experience (e.g. with tools such as dbt or similar). Architectural judgement. You can reason about operational vs analytical layers, data lake / warehouse patterns, versioning and lineage, and right-sizing infrastructure for a variety-first (not volume-first) problem. Software-engineering fundamentals. You're a genuine engineer, not a tool operator; you can build from scratch, reason about a codebase, and contribute to a modern web platform. Comfort with TypeScript/JavaScript (and ideally React) is a real plus; cloud experience is essential, though we're not precious about which (AWS, GCP, Azure, or Cloudflare). Autonomy. You can take ownership of a work-stream and drive it without the mental load sitting with the leadership team. Typically this means 5+ years of relevant experience, but we care far more about the scope you can hold than the number. Versatility. You're comfortable with shifting priorities in an early-stage environment and willing to have a foot in more than one camp as the needs of the business change. Communication. You can translate business goals and SME knowledge into technical solutions, and explain trade-offs clearly to a non-engineering audience. Locality. Within commuting distance of London, able to work 1-2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph databases. Familiarity with a modern data stack: Databricks, dbt, DLT, Unity Catalog or similar. This is a direction of travel for us, not a settled decision, so exposure is welcome but not required. Experience with the Cloudflare ecosystem, or with serverless/edge-first architectures. Familiarity with event-driven architectures and message brokers/queues. Experience in fintech, climate, or other data-heavy / decision-support domains. A genuine interest in sustainability, nature recovery, and conservation finance. Why Join Great Yellow? Be part of an innovative start-up that's breaking new ground in finance and ecological restoration. Engage in meaningful work with the potential to make a lasting impact on the planet. Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth. Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it). We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and coffee). Apply for the job Do you want to join our team? Then we'd love to hear about you!

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview As Harvey continues to scale its customer offerings for strategic customers, we are hiring a Technical Account Manager to join our Customer Success organization. This role serves as a high touch, technically fluent support resource for Harvey's most strategic customers, providing rapid, expert handling of complex, time critical, and sensitive issues. The Technical Account Manager strengthens Harvey's post sale presence by partnering closely with Customer Success Managers and internal teams to deliver exceptional technical support, proactive incident management, and clear, credible customer communications. This role is ideal for someone who thrives in high stakes environments, enjoys deep problem solving, and takes pride in delivering a world class customer experience. This role follows a fixed Thursday to Monday OR Friday to Tuesday schedule, with weekend coverage included as part of the standard five day workweek. What You'll Do Serve as a primary escalation point for Enterprise and Majors accounts, owning high severity and technically complex support cases through resolution. Triage, investigate, and resolve urgent customer issues with speed and sound judgment, coordinating across Support, Customer Success, Engineering, Product, and Security teams. Maintain deep account context, including customer workflows, configurations, integrations, and sensitivities, and apply that context to troubleshooting and communications. Provide real time, hands on technical support for senior customer stakeholders, including Knowledge Management, Innovation, and IT leaders. Lead clear and proactive incident communications, translating technical updates into customer specific impact, expectations, and next steps. Participate in incident response workflows, including severity classification, escalation handling, and post incident retrospectives. Document root causes, resolutions, and preventative actions to improve product reliability, internal knowledge coverage, and operational maturity. Contribute to the development and continuous improvement of escalation playbooks, runbooks, and support tooling. Partner closely with Customer Success Managers to enhance Harvey's post sale technical engagement and overall customer experience. What You Have Experience supporting enterprise or highly regulated software products in technical support, escalation management, or technical account facing roles. Proven experience engaging and managing high level stakeholders both internally and externally. Exceptional attention to detail with the ability to manage and resolve complex, multi layered support cases Strong technical foundation, with the ability to troubleshoot complex systems and collaborate effectively with Engineering and Product teams. Ability to bridge technical and non technical communication by translating complex back end and front end concepts into clear, accessible language for customers Deep customer obsession and ownership mindset-end to end accountability for customer outcomes and going beyond issue resolution to actively champion the customer's long term success with the product. Exceptional judgment under pressure, with comfort operating in high severity, time sensitive, and confidential situations. Clear, polished written and verbal communication skills, with experience engaging senior customer stakeholders. Demonstrated ability to manage multiple urgent issues simultaneously while maintaining accuracy, composure, and customer trust. Highly collaborative mindset and strong partnership orientation with Customer Success and cross functional teams. Comfort operating in ambiguity and contributing to process building in a fast scaling environment. Nice to Have Experience supporting AI powered, data intensive, or security and compliance sensitive products. Familiarity with incident management frameworks, on call models, or escalation playbooks. Prior experience working with law firms or professional services organizations. Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing .

Lead Engineer Location: Waterloo, London, England, UK Hybrid (1 day per week in office) Who We Are At the company, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. Our commitment to quality means we deliver solutions we're truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. Who You Are Successfully led high stakes consulting engagements from discovery to production Built high quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you've served Written production quality code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL Leveraged AI assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre existing code to incrementally improve it Collaborated with teams using Git, MacOS/Linux, and CI/CD Remedied architecture level concerns such as scalability, security, reliability, and performance Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving Made thoughtful recommendations and set direction in the face of ambiguity Mentored and shared knowledge with colleagues Actively sought out and effectively given feedback Communicated empathically with stakeholders and colleagues Collaboratively led stakeholders to balance technical considerations with product and user needs What You'll Do At the company Making immediate contributions to projects, rapidly building trust with clients Working pragmatically to balance technology choices while delivering high quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non technical) in partnership with team members and clients Leading or initiating formal feedback conversations with teams and clients via retrospectives Clearly articulating and documenting outcomes and driving forward action items Contributing to the health of your team and the company's culture by modelling our Values Ensuring your team has a healthy, prioritised, estimated backlog Managing high level project roadmaps as the team lead for large engagements Maintaining relationships with client technical leaders Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions Identifying, mitigating, and resolving blockers to team progress Contributing to the company by serving as a mentor, leading or designing workshops internally or for clients, representing the company in the tech community, or supporting our hiring processes Strongly Preferred Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we're excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real world career experiences. How You'll be Supported Our wellness package is designed with the Whole YOU in mind and includes: A robust L&D programme featuring unlimited access to thousands of books, courses, and expert led training on the O'Reilly learning platform. Annual financial stipend and time allotment for learning & development Coworking support for our global team 12 weeks of new parent leave available for eligible employees A Note on Compensation At the company, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company's strategic growth goals and clients' needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Lead Engineer position within London is: £76 029 GBP. Reach out to for more relevant information pertaining to your local market. The company Hubs and Geographies the company's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. London Co working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co working day is designed to encourage collaboration and further strengthen our community. In most cases, our consulting engagements do not require travel. A Note on Your Privacy At the company, one of our core values is Honesty that builds trust - and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process.

Overview Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous, with no tickets, approvals, or manual processes slowing companies down. Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understand their org, take action across systems, and get smarter over time. We've raised $29M, backed by Thrive Capital (investors in OpenAI, Stripe, GitHub) and a small group of founders who have built category-defining companies. We're unusually selective about the people we work with and hire builders who span functions, optimize for speed, and care deeply about their craft. About the role As a Platform Engineer at Console, you'll build the systems that make our engineering team faster and our product safer to change. You'll own the build tooling, CI/CD, verification environments, release systems, and reusable product primitives that let us ship quickly without losing quality as the company scales. This role starts with traditional platform engineering: faster builds, better local development, safer deploys, stronger test infrastructure, and cleaner shared architecture. It extends into the systems we use to ship, verify, and release changes in a product we intend to operate increasingly autonomously, including customer bug triage, validation, and resolution loops. You'll have room to operate autonomously, work closely with the CTO and engineering team, and shape how a modern AI-native engineering organization should build software. The best people in this role care deeply about developer experience, release quality, product architecture, and the compounding leverage that comes from making every engineer faster. What You'll Do Own the internal platform, build tooling, and CI/CD workflows that move code from idea to production. Make builds faster, tests more reliable, deployments safer, and releases easier to understand and operate. Design and operate verification environments that validate product behavior across agents, integrations, workflows, and customer-like scenarios before changes reach production. Build AI-native tooling for automated development, bug triage, validation, release management, and operational feedback loops. Create the systems that help Console detect issues, reason about changes, verify fixes, and eventually automate more of the path from customer bug report to production resolution. Build reusable product primitives and architecture patterns that help teams ship new agent capabilities, integrations, and context-aware workflows without reinventing core systems. Improve the day-to-day developer experience across local development, CI, testing, review, deployment, and debugging. Partner with product and engineering teams to identify repeated friction, turn it into platform leverage, and raise the quality bar across the codebase. Who You Are 5+ years of full-time experience in backend, platform, product infrastructure, or developer tooling engineering. Strong engineering fundamentals and comfortable working across a modern TypeScript/Node/React codebase. Built internal platforms, build systems, CI/CD workflows, developer tools, product infrastructure, or shared architecture that other engineers depend on. AI-native: actively use AI tools, understand how they change software development, and have strong instincts for where they can compress engineering cycles. Strong product sense for developer experience and care about building tools that engineers actually want to use. Can turn repeated engineering friction into reusable abstractions, better workflows, stronger verification, and durable platform primitives. Move fast, sweat the details, and care deeply about reliability and quality where it matters. Why join Console? Product-market fit: we have built the leading product in our category, in a massive market, and are on track to build a generational company. World-class team: we seek high-agency contributors who navigate ambiguity, prioritize what matters, and act decisively. Grow with us: we reward impact, not credentials or years of experience, and intend to grow talent from within as we scale. Competitive pay and benefits: top compensation with full benefits including: Benefits Comprehensive health, dental, and vision insurance. Unlimited PTO. 401(k) plan. Equity. Meals provided daily in the office.

DESCRIPTION The most exciting part of this role is the frontier we are working on: automating operational decision making with agentic AI. Rather than asking human operators to watch dashboards, interpret signals, and hand craft responses to every disruption, we are designing intelligent agents that detect anomalies, reason about their cause and impact, and resolve them end to end, proposing and executing the right recovery action with minimal human involvement. You will help turn that vision into production software. You will build the pipelines that feed these agents clean, trustworthy signals, the execution layer that lets them act safely on live operations, and the evaluation harnesses that prove they make good decisions before they touch the real network. Alongside this, you will work on the large scale optimization and planning systems that decide how capacity is allocated in the first place, where small improvements translate into meaningful cost and reliability gains across the network. Every day, a vast network of trucks moves goods between warehouses, sorting hubs, and delivery stations around the world. Behind that network sits one of the richest optimization problems in modern logistics: how do you schedule finite transportation capacity against constantly shifting demand, and then keep that plan intact when reality refuses to cooperate? Weather, breakdowns, late arrivals, and capacity shortfalls disrupt the plan continuously, and today much of the response still depends on people manually detecting problems and deciding what to do. We are building the systems that change that, and we are looking for a software engineer to help us build them. Key job responsibilities You will own the design and delivery of systems that matter. You will take ambiguous requirements, shape them into clean designs, write high quality and maintainable code, and see your work through to production, operating what you build and being accountable for its reliability. You will make pragmatic engineering trade offs, raise the bar in code and design reviews, and mentor other engineers, helping them grow while keeping the team's technical standards high. This is a role for someone who wants real ownership in a space where the problems are genuinely hard and the impact is immediate. About the team Amazon's Middle Mile Transportation Technology team is chartered with building complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. BASIC QUALIFICATIONS Experience (non internship) in professional software development Experience in professional, non internship software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design PREFERRED QUALIFICATIONS Bachelor's degree in computer science or equivalent Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous, with no tickets, approvals, or manual processes slowing companies down. Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understand their org, take action across systems, and get smarter over time. About the role We're hiring an Applied AI Engineer as the number and complexity of AI workflows in our system scale rapidly. As more customers rely on Console to automate critical back office operations, we need engineers who can push our core agent loop to be faster, smarter, and more reliable. You'll own and evolve the core agent loop and the AI workflows that make the product feel like magic. Working closely with product and leadership, you'll ship fast, build intuitive and resilient systems, and drive projects end to end, helping shape both the platform and the future of the product. What You'll Do Build intelligent agents that automate work and significantly increase productivity Design copilot style workflows that help human operators do more, faster Treat agent quality like a first class ML optimization problem using real usage data to make the core agent loop more reliable, adaptable, and resilient Build category defining product capabilities, from idea to production Who You Are You're a product minded engineer who enjoys building real systems people depend on. You'll likely have: 4+ years of software engineering experience, with a focus on applied AI products Proven track record of shipping agentic systems used by real users Comfortable across the stack (TypeScript, Node.js, React) and debugging production systems Strong product sense, with a focus on building intuitive, reliable systems Ownership mindset: you drive projects end to end and iterate quickly from real usage Enjoy following SOTA research into new models and agent architectures Comfortable building products that live at the intersection of AI and ML Why join Console? Product market fit: We have built the leading product in our category, in a massive market, and we're on track to build a generational company. World class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters, and are action biased. Grow with us: We reward impact, not credentials or years of experience, and intend to grow talent from within as we scale up. Competitive pay and benefits Comprehensive health, dental, and vision insurance Unlimited PTO 401(k) Equity Meals provided daily in office

Location(s):UK, Europe & Africa : UK : Leeds BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Description Are you passionate about working with cutting edge technology and self motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced AWS Developer. As a key member of a Software Engineering team, you'll be working with our National Security Customers to build systems that support their core mission capabilities. You'll work as part of empowered, autonomous DevOps teams with regular contact with end users to flexibly and efficiently understand, design, develop, deploy and maintain applications and services on AWS. You'll be encouraged to identify new ways of solving problems and get to work in a range of different teams across our customer organisations. You will work in a small team given as much ownership and responsibility as you have the appetite for but part of a much bigger Engineering community to give you the support you need to grow in your career. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore value Engineers who enjoy playing a role in the full delivery lifecycle and are flexible to learn and pick up new technologies and approaches. You'll be playing a role in identifying the right technologies to use for the job and be supported with training as needed through access to services such as Pluralsight. It's an amazing time to join our team to help shape our customer's exciting cloud adoption journey. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation that makes a huge impact to the security of the UK. About you You will have experience in many of the following: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in Infrastructure as Code technologies (eg CloudFormation, CDK, Terraform) Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Great communication and problem solving skills, and a desire to learn new technologies Working in an Agile environment (e.g. Scrum, Kanban, SAFe, XP, etc) It would be great if you also had experience in some of these, but if not we'll help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes Continual testing of code using Automated Testing Frameworks A working knowledge of Linux, networking, routing & firewalls etc Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work life balance is important; you can work around core hours with flexible and part time working As many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing About our team Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA. For more information please visit our website: Help us secure a connected world. Apply now and be inspired. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential.

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview As Harvey continues to scale its customer offerings for strategic customers, we are hiring a Technical Account Manager to join our Customer Success organization. This role serves as a high touch, technically fluent support resource for Harvey's most strategic customers, providing rapid, expert handling of complex, time critical, and sensitive issues. The Technical Account Manager strengthens Harvey's post sale presence by partnering closely with Customer Success Managers and internal teams to deliver exceptional technical support, proactive incident management, and clear, credible customer communications. This role is ideal for someone who thrives in high stakes environments, enjoys deep problem solving, and takes pride in delivering a world class customer experience. This role follows a fixed Thursday to Monday OR Friday to Tuesday schedule, with weekend coverage included as part of the standard five day workweek. What You'll Do Serve as a primary escalation point for Enterprise and Majors accounts, owning high severity and technically complex support cases through resolution. Triage, investigate, and resolve urgent customer issues with speed and sound judgment, coordinating across Support, Customer Success, Engineering, Product, and Security teams. Maintain deep account context, including customer workflows, configurations, integrations, and sensitivities, and apply that context to troubleshooting and communications. Provide real time, hands on technical support for senior customer stakeholders, including Knowledge Management, Innovation, and IT leaders. Lead clear and proactive incident communications, translating technical updates into customer specific impact, expectations, and next steps. Participate in incident response workflows, including severity classification, escalation handling, and post incident retrospectives. Document root causes, resolutions, and preventative actions to improve product reliability, internal knowledge coverage, and operational maturity. Contribute to the development and continuous improvement of escalation playbooks, runbooks, and support tooling. Partner closely with Customer Success Managers to enhance Harvey's post sale technical engagement and overall customer experience. What You Have Experience supporting enterprise or highly regulated software products in technical support, escalation management, or technical account facing roles. Proven experience engaging and managing high level stakeholders both internally and externally. Exceptional attention to detail with the ability to manage and resolve complex, multi layered support cases Strong technical foundation, with the ability to troubleshoot complex systems and collaborate effectively with Engineering and Product teams. Ability to bridge technical and non technical communication by translating complex back end and front end concepts into clear, accessible language for customers Deep customer obsession and ownership mindset-end to end accountability for customer outcomes and going beyond issue resolution to actively champion the customer's long term success with the product. Exceptional judgment under pressure, with comfort operating in high severity, time sensitive, and confidential situations. Clear, polished written and verbal communication skills, with experience engaging senior customer stakeholders. Demonstrated ability to manage multiple urgent issues simultaneously while maintaining accuracy, composure, and customer trust. Highly collaborative mindset and strong partnership orientation with Customer Success and cross functional teams. Comfort operating in ambiguity and contributing to process building in a fast scaling environment. Nice to Have Experience supporting AI powered, data intensive, or security and compliance sensitive products. Familiarity with incident management frameworks, on call models, or escalation playbooks. Prior experience working with law firms or professional services organizations. Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing .

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As the Electronics Architect, you will own the architecture and oversee the design and development of the electronic systems at the core of CoMind's neurological and physiological monitoring devices. As a recognised Subject Matter Expert in precision analogue and mixed signal design, you'll build the front end acquisition systems, signal conditioning chains, and high speed digital interfaces that capture and process the physiological signals clinicians depend on. This is a senior technical role with full ownership - from early architecture decisions through to manufacturing release - working alongside the electronic, FPGA, software, mechanical, and optics engineers in a regulated medical device development environment. You will be a key member of the Hardware Engineering team responsible for the hardware for CoMind's medical devices - from precision analogue circuits and high speed digital systems, to FPGAs for data acquisition, control and signal processing, and PCB design through to mechanical enclosures, optical assemblies and consumable sensors. At CoMind, all team members work at least 4 days per week in the office, plus a flexible work from home day. This role can be based in either the London (Kings Cross) or Bristol office. Responsibilities: Establish the electronics system architecture and requirements from system level requirements (product, clinical, regulatory) including signal chain topology, noise budgets, power architecture, and interface strategies Ensure that design input requirements are complete and unambiguous to enable the electronics design team to proceed with detailed design Lead the end to end architecture, design, development, and verification of electronic systems across the full product lifecycle Work across cross functional boundaries negotiating constraints and resolving conflicts with adjacent disciplines (software, mechanical, optics, clinical) to integrate electronic subsystems into the wider product Select appropriate components and platform architectures and drive design trade offs across performance, noise, power, cost, and reliability Design of precision analogue front end circuits for low noise signal acquisition, including transimpedance amplifiers, instrumentation amplifiers, and ADC interface design Design mixed signal subsystems bridging analogue acquisition and high speed digital back ends, including AFE integration and layout sensitive design practices Design high speed digital systems including signal integrity analysis, controlled impedance PCB design, and high speed interface implementation Define and drive electronics verification and validation strategy, including simulation, benchtop characterisation and EMC / safety compliance testing Lead design reviews, architecture discussions, and technical risk assessments Ensure electronic solutions are scalable, testable, and cost effective for volume manufacturing Maintain design documentation and traceability in line with medical device regulatory requirements (FMEA, hazard analysis) Mentor engineers as the team grows Lead reliability / FIT analysis on electronic PCBAs and safety critical components AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 10+ years of professional electronics design experience Experience with safety critical design practices, including single fault failure analysis and fail safe techniques Strong proficiency in precision analogue circuit design - low noise amplification, filtering, power supplies and signal conditioning Hands on experience with mixed signal design, including ADC/DAC interfacing and analogue digital partitioning Experience with high speed digital design, signal integrity, and controlled impedance PCB layout Proficiency in circuit simulation tools (e.g. LTspice, Cadence Spectre, or equivalent) Proficiency in PCB design tools (e.g. Altium Designer or equivalent) with experience reviewing and directing layout for analogue and mixed signal boards Working knowledge of EMC design and test principles Full electronics lifecycle experience: architecture, design, verification, integration, and production support Experience bringing hardware from prototype to production Experience in medical device development or regulated industries (IEC 60601 / IEC 61010, ISO 13485) Nice to have: Familiarity with optoelectronic systems, photodetection, optical instrumentation, lasers and photonics Experience with biopotential or biosignal acquisition systems Experience with power management design for low noise, battery powered devices Experience mentoring or technically leading other electronics engineers Benefits: Company equity plan so all employees share in the success of the company Salary sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySalesJob DetailsAbout SalesforceSalesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.At Salesforce, we are seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process perception and reality, designing bespoke B2B solutions, and acting as a trusted technical advisor to safely guide enterprise clients through their automation and Agentic AI adoption journey.About ApromoreApromore is a global leader in AI-driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an "Intelligent Process Twin" to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de-risk, deploy, and govern Agentic AI automation across the enterprise.About the RoleAs a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands-on, high-impact role requiring pre-sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high-propensity, high-ROI use cases for AI agents (such as Agentforce). You will guide C-level executives and technical stakeholders away from broad anecdotes and align them onto data-driven, value-backed technical solutions.What you'll be doing:Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. Analyze sophisticated business problems, uncover real technical blockers, mapping architecture constraints to design optimized "To-Be" processes.Prototyping & Hands-on Implementation: Act as a "builder" by constructing Proof of Concepts (PoCs) and minimum viable prototypes. Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost-saving opportunities.Data Configuration & Architecture: Guide customers on end-to-end data connectivity. Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs).Deliver Value-Based Technical Messaging: Fluent in both "API" and "ROI," you will translate working prototypes into solid business cases. Help executive decision-makers across Automation/AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact.De-Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. Employing your technical depth, demonstrate how clean process context, clear handoffs, and well-understood workflows are required to deploy agents safely, productively, and within trust guardrails.Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. Serve as the primary consultant to ensure successful customer adoption, guiding their teams on advanced process intelligence methodologies and execution best practices.Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers.What you should have:5+ Years of Experience in customer-facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles.Process Intelligence Expertise : Background working with process analytics, process mining, task mining, process simulation and data-driven business process management concepts.Strong Data Engineering Skills & Builder Credibility: Experience working with SQL, Python and building data pipelines and API integrations.AI Fluency: Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks.Sales Instinct & Commercial Curiosity: An understanding of how pre-sales fits into a complex enterprise deal cycle. You are energized by solving technical puzzles that directly unlock commercial success.Exceptional Relationship Building: Proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C-suite executives to IT infrastructure and database teams.Education: Bachelor's degree in Computer Science, Software Engineering, Data Science/AI, or equivalent.Characteristics:An outstanding blend of technical depth, strategic business acumen, and low-ego collaboration.An agile, "roll-up-your-sleeves" layout to problem-solving that favors progress over perfection.Intellectual openness and the ability to comfortably navigate ambiguity.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. About the Role ClickUp is hiring a Global ISV Partner Manager to help build and scale our strategic ISV ecosystem, with a particular focus on high-value software partners and AWS Marketplace. This role sits at the intersection of partnerships, go-to-market execution, and ecosystem strategy: recruiting and growing the right partners, shaping joint motions, and turning those relationships into measurable pipeline, revenue, and customer impact. This is a strong fit for a builder who knows how to create structure where a motion is still taking shape. You will help define which partners matter most, how we position ClickUp with them, how AWS Marketplace fits into the commercial motion, and how to turn a small set of strategic relationships into repeatable growth. You will work closely with Sales, Product, Marketing, Customer Success, and partner-facing leaders to ensure the ecosystem becomes a practical lever for expansion rather than a side channel. Mission Build a focused, high-impact Global ISV partner ecosystem that strengthens ClickUp's market reach, creates repeatable AWS Marketplace and co-sell motions, and drives durable pipeline and revenue through strategic partnerships. Please note, this role does require travel and in-office work days in one of our US (Seattle, San Diego, Chicago, Dallas, Boston), UK (London), or Ireland (Dublin) based hubs 3x per week. Client visits or traveling on site to partners will count as an in office day. What You'll Accomplish Recruit, prioritize, and grow a focused portfolio of strategic ISV partners that align with ClickUp's product strategy, target customers, and growth priorities. Help define and operationalize the AWS Marketplace motion for this partner set, including how partners attach to opportunities, how deals move through the marketplace, and where ClickUp creates mutual commercial value. Develop joint business plans with priority partners, translating strategy into concrete actions, pipeline creation, co-sell execution, and clear success metrics. Work cross-functionally with Sales, Product, Marketing, Customer Success, Solutions, and other GTM teams so partner activity is connected to field execution and customer outcomes. Enable partners to position ClickUp effectively, identify strong-fit use cases, and build repeatable plays around implementation, expansion, transformation, or AI-driven workflow modernization. Establish a practical operating cadence for the motion, including partner selection criteria, activation milestones, pipeline inspection, forecasting inputs, and regular performance reviews. Use data, market feedback, and partner insight to refine where ClickUp should invest, which relationships deserve deeper focus, and which motions are generating the most leverage. Represent ClickUp externally with partners, customers, and ecosystem stakeholders, helping strengthen our credibility in strategic partnership and marketplace conversations. Required Qualifications 7+ years of experience in partnerships, alliances, channel, business development, or ecosystem roles within enterprise software or SaaS. Strong track record building or growing strategic technology, ISV, cloud, or partner-led go-to-market relationships that influenced pipeline or revenue. Experience working with cloud marketplaces, co-sell motions, or strategic software-partner ecosystems, ideally including AWS Marketplace exposure. Clear evidence of turning partner strategy into execution through partner recruitment, joint planning, enablement, and measurable commercial outcomes. Strong understanding of partner economics and the tradeoffs between partner breadth, partner quality, and field adoption. Ability to operate as a hands on builder in an ambiguous environment, creating structure, priorities, and momentum without waiting for a fully mature program. Strong executive communication and relationship-management skills with the ability to influence internal stakeholders and external partners alike. Demonstrated cross-functional effectiveness with sales, marketing, product, and customer-facing teams. Willingness to travel as needed for partner meetings, customer engagements, and internal collaboration. Preferred Qualifications Background in a high-growth SaaS company where partnerships were a meaningful part of the go-to-market model. Experience building or scaling motions with strategic software partners around workflow, productivity, automation, collaboration, AI, or digital transformation. Familiarity with AWS Marketplace private offers, co-sell mechanics, or broader marketplace deal execution. Existing network of strategic ISVs, cloud partner leaders, or ecosystem operators that could translate well to ClickUp's priorities. Experience helping partners build services, implementation, or packaged solution plays around a software platform. Strong analytical instincts and comfort using partner data to guide prioritization, investment, and performance management. What Success Looks Like Success in this role looks like building a sharper, more productive strategic partner motion-not simply adding logos. A strong hire will help ClickUp identify the right ISVs to invest in, stand up clearer AWS Marketplace and co-sell plays, and turn those efforts into more consistent sourced and influenced pipeline. They will also help create better internal alignment so the field understands how and when to engage partners, making the ecosystem a more dependable growth lever for the business. Location & Travel This role must be based in the following geographic areas: The United States (Boston, Seattle, San Diego, Dallas, Chicago), The United Kingdom (London), or Ireland (Dublin). The role will work across strategic partner relationships that may span multiple regions Globally, and it should maintain strong overlap with key internal GTM stakeholders and priority partners. Travel is expected as part of building and growing strategic partner relationships. Why This Role Is Compelling This is an opportunity to help shape how ClickUp grows through strategic software partnerships at an important moment in the company's evolution. You will have direct influence on which relationships matter most, how we translate partner strategy into real commercial impact, and how AWS Marketplace and broader ecosystem motions fit into our future. For the right person, it is a chance to pair strategic thinking with hands on execution and build something consequential quickly. Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply! At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person's journey to build their boldest career. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via email or through our official careers portal on We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to . AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision making. If you have questions or need an accommodation in the recruitment process, please contact us at .

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale. This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant. Key responsibilities Reliability & Platform Ownership Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments. Define and operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-Call Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents. Lead incident triage, escalation, communications, and root cause analysis. Translate post-incident learning into durable architectural or automation improvements. Continuously reduce alert noise and recurring operational burden. Observability & Operational Excellence Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health (not just infrastructure metrics). Improve deployment safety through better change management, validation, and rollback mechanisms. Automation & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self healing patterns and resilient recovery workflows. Harden CI/CD and release processes to improve deployment safety and velocity. Support infrastructure as code and policy driven guardrails to ensure secure, reliable cloud environments. About you In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we're looking for the following skills and experience. Essential skills Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Strong Kubernetes experience, including operating production clusters. Hands on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads. Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g., Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g., Datadog, Prometheus, Grafana, OpenTelemetry). Clear communication skills, including leading incidents, writing post mortems, and influencing teams to prioritise reliability improvements. Desirable skills Experience operating GPU backed environments or large scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure as code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across multiple teams. Experience as an early or founding SRE hire establishing processes from scratch. Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time. This is a full time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

Asset & Wealth Management - Software Engineer - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. HOW YOU WILL FULFILL YOUR POTENTIAL We are looking for a skilled and motivated software engineer to design, build, and maintain robust, scalable, and efficient systems and infrastructure for our billing platform. Propose, design, and implement software solutions to enhance our services and enable new business functions. Perform hands on development; participate in architecture and design discussions and design reviews. Work closely with other engineering teams across the firm to develop data feeds, APIs, and processing pipelines. Work closely with the global user group to support and enhance the applications to meet new requirements. Understand the business workflows to assist in analysing and converting business requirements into technical specifications. Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions. Develop and maintain scalable and efficient dashboards, reports, and data visualisations that present complex data in a user-friendly manner. Provide technical support and troubleshooting for data pipelines and transformations, resolving issues and ensuring system availability. Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in computer science, Information Systems, or a related field. 7+ years of hands on software development experience. Solid understanding of object oriented skills and frameworks. Experience with producing scalable software designs. Experience in Spring, REST services, JMS, Hibernate/JPA, JSON is required. Experience working with databases such as Sybase or MongoDB. Experience with designing/delivering messaging based solutions (e.g. Kafka). Fast learner who can pick up existing applications (functionally & technically). Excellent problem solving abilities and attention to detail. Strong communication and collaboration skills to work effectively with cross functional teams. Ability to work in a fast paced environment, manage multiple priorities, and meet project deadlines. Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation. Strong communication skills (in person, phone, and email). Prior experience with people management. Prior experience leading & delivering projects independently and working in a global project team setup. Ability to work on multiple programs. Interest in finance. Preferred Qualifications Experience in the financial industry or a related field. Familiarity with cloud based data warehouses (e.g., Snowflake, GBQ). Familiarity with cloud based data pipeline services (e.g. AWS Glue) or distributed processing frameworks like Apache Spark. Equal Opportunity Employment Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Selection changes the language of the page/content Site Reliability Engineer, iCloud London, England, United Kingdom Software and Services People at Apple don't just build products - they craft experiences our customers love and depend on. Apple Services Engineering (ASE) builds and supports the systems that make many of these daily experiences possible. If you've used Apple products, you've likely interacted with us. Apple Services Site Reliability Engineering (SRE) teams are responsible for the systems and services that directly support those customers and their experiences. We are looking for an SRE with experience in building and supporting highly available customer-facing services. Description Apple Services' scale is BIG. Operating at our scale, across multiple geographies and servicing hundreds of millions of users presents unique challenges. As a Software Developer in SRE at Apple, you'll need to solve these problems using data, teamwork, and your own expertise. ASE Products Site Reliability teams are responsible for the reliability and performance of the server software stack that powers products like iCloud Photos, Mail, Drive, Backup and many more. We do that by focusing on reliability best practices from service inception to production, collaborating deeply with product development teams to deliver a superlative product and shared vision while leveraging data and automation as first principles. We run a mix of open source, vendor licensed, and internally developed tools to manage the end to end SDLC of our products. You'll learn these tools and have opportunities to improve them. Responsibilities Engage with our product teams to understand requirements, design and implement resilient and scalable infrastructure solutions. Operate, monitor, and triage all aspects of our production and non-production environments. Collaborate on code, infrastructure, design reviews, and process enhancements Evaluate and integrate new technologies to improve system reliability, security, and performance. Develop and implement automation to provision, configure, deploy, and monitor Apple services. Participate in an oncall rotation providing hands on technical expertise during service impacting events. Contribute to capacity planning, scale testing, and disaster recovery exercises Approach operational problems with a software engineering mindset. Minimum Qualifications Strong sense of ownership, customer service, and integrity proven through clear communication. BS in Computer Science or related field, or equivalent employment 5 + years experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment Strong experience with deploying, supporting and supervising new and existing services, platforms, and application stacks Experience with scale testing, disaster recovery, and capacity planning Experience with observability platforms with Splunk, Grafana, Prometheus. Demonstrable fluency in at least one of the following languages: Java, Python, or Go. Experience with Kubernetes, Nginx, Envoy, Prometheus, and/or Docker. Preferred Qualifications Understanding of standard networking protocols and components such as: HTTP, DNS, ECMP, TCP/IP, ICMP, the OSI Model, Subnetting and Load Balancing strategies. Understanding of the Linux Operating System, including Kernel, Memory, Process, Threads, Static / Shared Libraries, IPC, Signals. Experience in developing iOS apps using Xcode and Swift. Experience in OpenTelemetry Standards / distributed tracing like jaeger At Apple, we believe in treating all applicants fairly and equally. Because to create products that serve everyone, we believe in including everyone. We are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Description We're looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment-where you'll design and deliver cutting edge AI solutions that solve complex, real world business challenges and shape the future of work. This is a hands on, high impact role where you'll move beyond traditional development-partnering closely with stakeholders to translate ambiguous needs into scalable, AI powered solutions that drive measurable value. You'll own the full lifecycle-from architecture and build through to deployment and adoption-embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user centric. Sitting close to the business, you'll continuously refine solutions to maximise impact, efficiency, and adoption. Why join us? At WTW, you'll be part of our Health, Wealth & Career (HWC) segment-where we use data, technology, and deep expertise to shape the future of work. You'll collaborate across multiple lines of business-such as Retirement, Health & Benefits, and Workforce Strategy-gaining exposure to diverse challenges and opportunities. As the role evolves, you'll also help deliver innovative, AI driven solutions directly to external clients, turning complex problems into scalable outcomes. Together, we're creating more resilient, high performing organizations-enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale. This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders. The Role This position is ideal for an experienced Solutions Architect, Staff Engineer, or Technical Lead with a strong enterprise engineering background and a passion for applying it to AI enabled systems. You'll bring deep expertise across modern full stack technologies (.NET, Azure, SQL, React/Angular), along with experience in distributed systems, observability, and AI tooling such as LLMs, retrieval pipelines, and agentic workflows. Acting as a bridge between business and technology, you'll work across product, data science, architecture, and engineering teams-mentoring others, resolving production challenges, and scaling prototypes into robust, enterprise grade solutions that deliver real impact. AI solution delivery: Design and build AI enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision support tools using foundation models, retrieval augmented generation, structured outputs, and orchestration frameworks. Forward deployed problem solving: Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema driven extraction, tool calling patterns, agent orchestration, evaluation loops, and human in the loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle. Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value. Qualifications What you'll bring Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise scale environments. Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms. Hands on experience building AI enabled systems, such as LLM pipelines, document extraction, structured output generation, AI assisted analytics, prediction interfaces, or agentic workflows. Experience working with business critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders. Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email