24 jobs found

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Singapore, and Japan. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, led Google Labs, started and led Google's AR/VR effort, and led the product and design teams for Google Workspace. What you'll do Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes - they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers What you'll bring Experience building and scaling end-to-end production systems Strong technical problem-solving skills, especially in fast-changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers through accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by supporting one another professionally and personally. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on outcomes, not just milestones. Everyone at the company engages with customers and helps resolve issues promptly. Craftsmanship: We get the details right, from words to system architecture. We continuously self-reflect to improve. Intensity: We aim to win, care about our product, and address issues openly to improve. Family: We balance intensity with well-being, support one another, and celebrate achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) with Sierra match Parental Leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Singapore, and Japan. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, led Google Labs, started and led Google's AR/VR effort, and led the product and design teams for Google Workspace. What you'll do Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes - they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers What you'll bring Experience building and scaling end-to-end production systems Strong technical problem-solving skills, especially in fast-changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers through accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by supporting one another professionally and personally. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on outcomes, not just milestones. Everyone at the company engages with customers and helps resolve issues promptly. Craftsmanship: We get the details right, from words to system architecture. We continuously self-reflect to improve. Intensity: We aim to win, care about our product, and address issues openly to improve. Family: We balance intensity with well-being, support one another, and celebrate achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) with Sierra match Parental Leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job Title Full-Stack Engineer Salary £60k-£90k Company Description - Privately funded UK property lender specializing in bridging and development finance. Job Description As the first engineering hire at Lakeshield, you will lead the development of two greenfield products: an internal loan management system and an investor portal. Working within a newly launched Innovation department, you will define the technical architecture, integrate complex CRM workflows, and build the digital backbone for a profitable, fast-growing finance business. Location London, UK Why this role is remarkable Founding Engineering Impact: You are the first engineering hire, giving you total ownership over the technical roadmap and architecture rather than just closing tickets. Greenfield Development: Build two mission critical platforms from scratch, including an end-to-end loan management system and a high stakes investor portal. Stable & Profitable Environment: Join a privately funded, profitable firm with the agility of a startup but the financial security of an established lender. What you will do Architect Core Systems: Design and build the internal loan management platform to connect HubSpot CRM with underwriting and loan monitoring workflows. Develop Investor Portal: Create a secure, high performance portal for managing fundraising, deal updates, and sensitive investor communications. Drive Technical Strategy: Make key technical decisions and work directly with the co founders to shape the company's long term product function. The ideal candidate Full Stack Proficiency: 1 5 years of experience building production grade applications with a focus on clean, maintainable code and system reliability. Ownership Mindset: A builder who thrives in small teams and wants to own products end to end rather than working to a fixed spec. Domain Interest: Experience in fintech, financial services, or complex CRM integrations (like HubSpot) is a significant advantage but not a requirement.

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.

Location: London (Hybrid) (UK-based) Salary: £90,000 plus equity Department: Engineering Job Type: Full-Time Category: Hybrid About Zenrox Zenrox Healthcare UK is redefining medical equipment procurement with AI-driven intelligence. Our flagship platform, ZenroxIQ, helps NHS trusts, private hospitals, and healthcare facilities reduce costs by 1520% through advanced visual equipment search, intelligent price optimisation, predictive procurement, automated MHRA compliance, and real-time insights. Role Overview We are seeking a visionary Founding CTO to architect, build, and scale the ZenroxIQ platform from the ground up. This role offers the freedom to define the technology roadmap, shape engineering culture, and drive innovation across a high-impact B2B healthcare marketplace serving the UK medical sector. Key Responsibilities Architect and develop the core ZenroxIQ platform, ensuring scalability, security, and reliability. Lead technical strategy for AI-enabled features including visual search, price optimisation, and predictive procurement. Build and maintain systems for real-time supplier matching, automated quote aggregation, and procurement workflows. Establish engineering best practices, development processes, and long-term technical standards. Make strategic build-versus-buy decisions for AI integrations (OpenAI, Google Vision API, and related services). Oversee data security, GDPR compliance, and alignment with ISO 27001 and MHRA standards. Recruit, mentor, and lead a high-performing engineering team as the organisation grows. Partner closely with Product, Operations, and Leadership to deliver high-quality, production-ready solutions on schedule. Requirements 8+ years of software engineering experience, including 3+ years in a senior technical leadership role. Proven success building marketplace, e-commerce, or B2B platforms at scale. Strong experience with API integration, microservices, and third-party service orchestration. Hands on exposure to AI/ML technologies and cloud-based AI integrations. Deep understanding of scalable architecture, distributed systems, and modern database design. Demonstrated ability to deliver robust, production-level technology on aggressive timelines. Ideal Experience Background in healthcare, medical devices, or other regulated industries. Experience as a CTO, Head of Engineering, or founding technical leader in a startup environment. Familiarity with WordPress, WooCommerce, or other e-commerce frameworks. Understanding of procurement workflows, supplier networks, and B2B transaction systems. Knowledge of UK healthcare sector dynamics, including NHS procurement and MHRA guidelines. Why Join Zenrox Early leadership role with meaningful equity and long-term growth potential Opportunity to build a high-impact product improving healthcare efficiency across the UK Full autonomy to define technology direction and engineering structure Work with cutting-edge AI delivering measurable ROI (1520% cost savings) Join a mission-driven company with strong market demand and early traction

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission critical and drive revenue directly to Sierra's growth. These aren't prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise grade customers What you'll bring Experience building and scaling end to end production systems Strong technical problem solving skills, especially in fast changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real world problems Excellent communication skills - clear, direct, and persuasive across technical and non technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self reflect to continuously self improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full time employees: Flexible (unlimited) paid time off Medical, dental, and vision benefits for you and your family Life insurance and disability benefits Retirement plan dependent on country of employment Parental leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary benefit stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

The role This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up. As a Staff 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. Experience operating GPU backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). 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 postmortems, and influencing teams to prioritise reliability improvements. Desirable skills 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. Benefits This is a full time role based in our office in London (2 days a week in the office). 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. Equal Opportunity Statement Wayve is committed to creating an inclusive interview experience. If you require 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. 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.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world's largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full stack efforts, collaborate with cross functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high scale financial products platform. This is an opportunity to work on greenfield projects in a fast paced, startup like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES: Develop backend services, APIs, and data models to support high volume, multi user environments. Work with iOS, Android & Web client engineers to ship products. Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real time analytics. Lead architecture, scalability, and reliability decisions for high concurrency, low latency systems. Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: Proficiency in distributed systems for high scale, low latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: 5+ years of experience working on large scale consumer applications or early mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user centric design, and AI solutions. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission critical and drive revenue directly to Sierra's growth. These aren't prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise grade customers What you'll bring Experience building and scaling end to end production systems Strong technical problem solving skills, especially in fast changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real world problems Excellent communication skills - clear, direct, and persuasive across technical and non technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self reflect to continuously self improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full time employees: Flexible (unlimited) paid time off Medical, dental, and vision benefits for you and your family Life insurance and disability benefits Retirement plan dependent on country of employment Parental leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary benefit stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder like energy who want real impact, accelerated learning, and true ownership. You bring strong role related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the Team About the Team The Founders' Lab is Airwallex's elite internal innovation hub. Operating like an agile startup backed by our global network, we partner directly with our CEO and Co Founder to architect, build, and ship next generation Fintech AI Innovations and 0 to 1 product lines. We don't build in isolation, nor do we over engineer for theoretical problems. Our mandate is high velocity validation: we take raw, ambitious, and ambiguous concepts from the executive suite, build the MVP, and deploy it onto our global financial infrastructure to test with real users. We look for High Agency Builders. There are no layers of middle management or rigid ticketing queues here. You will hold complete end to end technical and product ownership-wearing the hat of a Product Manager to define the what and the why, and acting as a lead engineer to build the how. What You'll Do Co Author 0 to 1 Products: Partner directly with the CEO and global leadership to turn raw strategic visions and disruptive AI capabilities into functional, market ready financial software in weeks, not quarters. Embody the Product Engineer Mindset: Synthesize business requirements, regulatory realities, and cutting edge tech. You aren't just writing code to a spec; you are evaluating product scope and user friction to shape the product roadmap. Execute with Velocity: Bias heavily toward action. Run rapid proofs of concept, deploy them to live users to test market fit, and constantly balance rapid feature iteration with structural soundness. Deliver End To End Solutions: While backend heavy and architecturally sound, you are a generalist at heart. You will do whatever it takes to get a product into the hands of global users-from API design to frontend polish. Minimum Qualifications 6+ years of software engineering experience, with a deep foundation in backend architecture and a proven ability to confidently flex full stack when the mission requires it. Startup or R&D DNA: A track record of personally shipping products from scratch in high growth startups, corporate innovation labs, or fast paced greenfield environments. Sharp Product & Commercial Intuition: You challenge assumptions. You care immensely about user experience and business impact, evaluating technical decisions through a commercial lens. Pragmatic & Resourceful: You have a strong "get things done" attitude. You don't wait for a perfect blueprint or permission-you find creative pathways around institutional or technical roadblocks. High Ambiguity Tolerance: You thrive when the path forward is undefined, successfully translating high level executive visions into clean, maintainable software. Preferred Qualifications Familiarity or hands on experience building software that leverages Generative AI, LLMs, or intelligent workflow automation. Fintech, payments, or experience dealing with compliance and money movement rails. Prior experience as a startup founder, founding engineer, or technical lead of a rapid prototyping team. Equal Opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a Senior Machine Learning Engineer to join us as a key founding member of a greenfield team building transformative AI capabilities from the ground up. In this role, you will work across the full stack of Anaplan AI applications, solving unique challenges at the intersection of AI and enterprise software. By experimenting with the latest AI models and collaborating with talented data scientists and product designers, you will build cutting edge, user facing AI features that directly impact how global businesses plan and make decisions. Your Impact Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments. Develop end to end GenAI features including backend API services, model integration, model monitoring, evaluations, and deployments. Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation. Build cutting edge conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language. Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics. Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations. Optimise model inference pipelines for performance, cost, and scalability in production environments. Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour. Participate in code reviews, lead technical design discussions, and provide mentorship to junior and mid level engineers. Your Skills Extensive hands on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End to end exposure in model lifecycle development, including demonstrated experience deploying and maintaining ML models in production environments. Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine tuning LLMs for domain specific enterprise applications. Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Worked with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models. Experience with model serving frameworks (vLLM, TensorRT, Ray). Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

About LILT AI is changing how the world communicates - and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues-Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1-guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we're building a category-defining company in a $50B+ global translation market being redefined by AI. The Solutions Team at LILT LILT's Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT's overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT's technology is utilized to deliver maximum value to our customers. While we're at it, we have fun and enjoy the ride together. Where You'll Work This position has the opportunity to be based in our London or Berlin office in a hybrid capacity. Fully remote employees in the UK, Germany, or Spain will also be considered. Authorization to work in the UK, Germany, or Spain is a precondition of employment. What You'll Do We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once. You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer's specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. Key Responsibilities: Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer's technical experience from scoping (pre-sales) to deployment (post-sales / success) Build and present reference architectures, how-tos, and demo applications for customers Be a subject-matter expert in translation and localization process optimization and best practices Understand and align the customer's technology stack to optimize localization processes Work cross-functionally with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success Play an active role in the development and maintenance of customer integrations Provide an escalated level of support for critical customer operational issues Develop and iterate on internal processes to ensure consistency across our solutions engagements Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation, specifically the application of AI Skills and Experience: At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company Experience working with a complex services-oriented solution Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computer-assisted translation (CAT) solutions A passion for technical and solution-based problem-solving Analytical approach to intelligence gathering and project planning Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives Keen attention to detail and adherence to deadlines Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment Self-motivated and inspired by a results-driven environment Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations Comfort with a bit of chaos, startup experience is an advantage Ability to work independently and self-sufficiently while being part of a team and pursuing team goals Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning. Our Tech What sets our platform apart: Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News Featured in The Software Report's Top 100 Software Companies! LILT makes it onto the Inc. 5000 List. LILT's continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

About LILT AI is changing how the world communicates - and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues-Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1-guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we're building a category-defining company in a $50B+ global translation market being redefined by AI. The Solutions Team at LILT LILT's Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT's overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT's technology is utilized to deliver maximum value to our customers. While we're at it, we have fun and enjoy the ride together. Where You'll Work This position has the opportunity to be based in our London or Berlin office in a hybrid capacity. Fully remote employees in the UK, Germany, or Spain will also be considered. Authorization to work in the UK, Germany, or Spain is a precondition of employment. What You'll Do We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once. You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer's specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. Key Responsibilities: Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer's technical experience from scoping (pre-sales) to deployment (post-sales / success) Build and present reference architectures, how-tos, and demo applications for customers Be a subject-matter expert in translation and localization process optimization and best practices Understand and align the customer's technology stack to optimize localization processes Work cross-functionally with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success Play an active role in the development and maintenance of customer integrations Provide an escalated level of support for critical customer operational issues Develop and iterate on internal processes to ensure consistency across our solutions engagements Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation, specifically the application of AI Skills and Experience: At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company Experience working with a complex services-oriented solution Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computer-assisted translation (CAT) solutions A passion for technical and solution-based problem-solving Analytical approach to intelligence gathering and project planning Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives Keen attention to detail and adherence to deadlines Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment Self-motivated and inspired by a results-driven environment Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations Comfort with a bit of chaos, startup experience is an advantage Ability to work independently and self-sufficiently while being part of a team and pursuing team goals Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning. Our Tech What sets our platform apart: Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News Featured in The Software Report's Top 100 Software Companies! LILT makes it onto the Inc. 5000 List. LILT's continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!