302 jobs found

the company welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Dublin, Ireland; Paris, France Minimum qualifications Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in writing and reading code (e.g., Java, C++, Python). Experience with WebTechnologies (HTML, CSS, and JavaScript). Preferred qualifications Experience as a developer in the mobile app space (iOS or Android) or an understanding of the mobile ad business generation industry. Experience working with SQL. Experience working alongside technical teams (Product, Engineering, or Business) to solve ambiguous problems. Ability to translate technical concepts into clear, advice for non-technical stakeholders or external partners. Excellent problem solving skills with a track record of debugging customer facing issues, whether it's at the code level or within a broader system implementation. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of the company's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of the company's partnerships, as well as develop product strategy and prioritize projects and resources. the company creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across the company, everything we do aims to ensure our customers benefit from the full potential of the company products. To learn more about gTech, check out our video. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. France: €64000 - €66000 (EUR) + 15% bonus target + equity + benefits Ireland: €68000 - €70000 (EUR) + 15% bonus target + equity + benefits Learn more about benefits at the company. Responsibilities Cultivate technical and product knowledge of the mobile ad business generation ecosystem to architect solutions and implementations for our partners. Lead technical engagements with mobile app developers, aligning the company's product suite with their specific business goals to drive long-term business growth and engagement. Resolve technical escalations from business and clients, while proactively developing tools, documentation, and workflows to scale support across the EMEA region. Identify and implement best practices to streamline business strategies, accelerating product adoption and establishing a blueprint for partner success. Act as a critical feedback loop between the market and the product to influence strategy, design, and prioritization in collaboration with Go-to-Market, Product Management, and Engineering teams. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Title: Senior Product Designer Reporting To: Head of Design Location: Remote - with occasional travel to Bournemouth Job Type: Full Time 37.5 hours a week Our Purpose Nourish is a market leader in enabling Sustainable Health and Care Systems, delivering outcomes that matter to people; it's a new way of thinking about delivering efficient health and care at very large scale, personalised to each one of us. About the Job As a Senior Product Designer at Nourish, you'll be advocating for our end users through practical design thinking and Lean UX, collaborating closely with your counterparts in Product and Engineering to create and enhance user centric products. You will be responsible for designing intuitive, accessible and engaging user experiences, ensuring that our products not only meet user needs, but also provide a delightful experience. The UX/Product Design team at Nourish celebrates a balance of design thinking, research acumen, information architecture and technical knowledge to create products that are usable - functional, simple, and intuitive - at scale. The role and your responsibilities Design System Development (critical for this role): contributes to our new design system as part of overall impact, ensuring consistency across Nourish products and standards. Requires a strong design system background with experience in building components in Figma (including logic, states and variants etc.), accessibility, and governance. Must understand technical implementation and be involved in its day to day development as the system is in its early stages. User Research: Conducts user research in alignment with our UXR to understand user needs, behaviours and pain points. Utilises methods such as interviews, surveys, usability testing, and analyses insights to form actionable takeaways. Design & Prototyping: Creates wireframes, user flows and other design assets to effectively communicate design ideas. Develops high fidelity prototypes to illustrate design concepts and user interactions. Collaborates with Product Manager and Lead Developer from initial discovery through to iteration, ensuring feasibility, value and best in class standards of our design solutions. User Testing: Plans and conducts usability testing sessions to gather feedback on design prototypes. Analyses user feedback and metrics to iterate on and improve the design. Presents findings and suggestions to both commercial and technical stakeholders. Collaboration and Communication: Works closely with Product Managers to align on user needs, product goals, and business objectives. Partners with Lead Developers to ensure the design is implemented accurately and effectively. Facilitates design discussions and workshops to foster a shared understanding of user centric principles within the team. Documentation: Documents design processes, decisions, and guidelines to ensure continuity and clarity. Creates detailed design specifications and handoff documents for development. What else are we looking for? Proven experience in UX Product Design with some senior experience, preferably within a collaborative, cross functional team structure in a SaaS B2B environment. Sub Disciplines: Experience across more than one sub discipline of interaction design, information architecture, research, visual or UI design is highly desirable. Design Tool Fluency: Proficiency in Figma, other design tool experience is a bonus. Design Principles: Strong foundation in user centred design principles including WCAG accessibility standards and designing for inclusivity. Comprehensive experience of designing for both web and mobile applications delivering a unified user journey. Research Methodologies: Skilled in various user research methods (e.g., interviews, surveys, usability testing). Ability to analyse research insights and translate findings into actionable design improvements. Agile Methodologies: Embraces an iterative process that allows for continuous improvement in both design development and the collaborative process. Experience working within Agile / Scrum frameworks with the ability to adapt to evolving project needs is an advantage. Benefits 25 days basic annual leave, plus Bank Holidays In addition, we offer incremental leave benefit of 1 extra day for each completed year of service, up to a maximum of 5 additional days. This means long standing employees can enjoy up to 30 days of annual leave per year, plus bank holidays. Extra paid day off for your birthday Paid days off for volunteering opportunities Private Medical Insurance Pension Referral Bonus Health and Wellbeing platform including access to 24/7 GP & 24/7 EAP Counselling and support Variable impact workouts. Wellbeing videos including prompts for healthy behaviours Wellbeing, care and compassion leave policies Cycle to Work Scheme Career Development opportunities and regular reviews Recognition and Rewards Social Events throughout the year All positions at Nourish are subject to a satisfactory Enhanced Disclosure and Barring Service check, references and receipt of the appropriate Right to Work documents. Nourish is proud to be an equal opportunities employer and we actively seek and embrace differences in thinking, experience, ethnicity, age, gender, faith, personalities and styles. The different skills, experiences and backgrounds our employees bring to their roles creates a diverse and makes Nourish a special place to work

Engineer - Audio & Video Processing - 12 months FTC Location:Crawley Court (Winchester), Emley Moor (Huddersfield), Newman Street Chalfont -London We operate a flexible, hybrid working environment - requirement to travel to either our Winchester or London office up to twice a week Total Package 12 months FTC Up to £54,000 base salary Generous pension scheme starting at 6% rising to 10% 25 days annual leave Private Medical A unique wellbeing programme that looks after the whole you Access to multiple learning platforms to support your individual development Active and diverse networks that build community, support wellbeing and advocate for change A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here. Purpose - 12 months FTC Responsible for the design, development, implementation, operation, and troubleshooting of cloud-based and traditional Media platforms, with a particular focus on VOD, Cloud Playout, workflow automation, metadata-driven services, and AWS-hosted media solutions. The role is accountable for supporting, configuring, and optimising media workflows across production and non-production environments, ensuring reliable content delivery, operational excellence, and the successful integration of new services, partners, and technologies. The successful candidate will combine strong Media Engineering expertise with a solid understanding of cloud infrastructure, software-enabled workflows, automation, and modern deployment practices, enabling them to work effectively alongside Software, Platform, and Product Engineering teams. Accountabilities Design, configure, test, and support Media workflows and solutions to achieve maximum performance, reliability, and availability across VOD and Cloud Playout platforms. Provide technical expertise for the deployment, operation, and optimisation of Media services, ensuring efficient workflow execution and continual service improvement. Design and drive processes to facilitate the onboarding of new services, partners, channels, and content delivery workflows. Develop, analyse, troubleshoot, and modify Media systems, workflows, and configurations, ensuring compliance with operational, regulatory, and industry standards. Support the integration and operation of third-party Media products and vendor platforms hosted within AWS environments. Configure and maintain metadata-driven workflows, XML-based configurations, subtitle services, content delivery processes, and media processing pipelines. Support deployment and promotion activities through Git-based configuration management and CI/CD workflows. Troubleshoot issues across distributed cloud services, media workflows, and partner integrations, applying a structured and methodical approach to root-cause analysis and resolution. Support engagement with suppliers, vendors, contractors, and customers to ensure service delivery requirements are met and issues are effectively managed through to resolution. Standardise workflow configurations and engineering practices to improve maintainability, minimise disruption, and simplify integration with existing platforms and infrastructure. Document Media engineering principles, workflows, operational procedures, and platform configurations in line with industry best practices. Apply engineering, security, compliance, and operational standards across all aspects of Media platform design and support. Apply engineering best practices to deliver solutions that are reliable, scalable, maintainable, and supportable throughout their lifecycle. Act as a Design Authority (DA) within Media Engineering to ensure successful delivery of end-to-end solutions and support projects as Lead Design Authority (LDA) where required. Work closely with Product, Platform, Software Engineering, Architecture, Operations, and Network teams to deploy, optimise, and support Media solutions. Support AWS-based Media services including Lambda, Step Functions, S3, EventBridge, IAM, and related cloud-native technologies. Assist in the integration and migration of legacy Media systems into modern cloud-based architectures and workflows. Contribute to automation initiatives, operational tooling, and workflow orchestration to improve efficiency and reduce manual intervention. Provide technical leadership and mentoring to junior engineers, promoting engineering excellence, knowledge sharing, and continuous improvement. Stay current with emerging Media technologies, cloud platforms, video transport protocols, and industry best practices. Identify opportunities to improve engineering processes, platform performance, service resilience, and operational efficiency. Skills Media Engineering- Strong understanding of VOD, broadcast, playout, OTT, content delivery, metadata management, subtitle workflows, scheduling, and media processing technologies. Cloud Platforms & Operations- Practical understanding of AWS services including Lambda, Step Functions, S3, EventBridge, IAM, and cloud-native operational support. Configuration & Workflow Management- Experience working with XML, metadata-driven workflows, service onboarding, workflow configuration, and operational change management. Software & Automation Awareness- Ability to read, understand, troubleshoot, and modify code and scripts used within Media platforms and cloud workflows. Git & Deployment Practices- Understanding of Git-based workflows, CI/CD pipelines, configuration management, and deployment processes across multiple environments. Problem Solving- Strong analytical and troubleshooting skills with the ability to diagnose issues across distributed systems, cloud infrastructure, vendor products, and Media workflows. Vendor & Integration Management- Experience integrating with external partners and vendors using technologies such as FTP, SFTP, Apple Transporter, and S3-based delivery workflows. Video Connectivity & Distribution- Awareness of cloud ingest and distribution workflows and modern IP video transport technologies including SRT, RIST, and Zixi. Technical Leadership- Ability to mentor engineers, act as a subject matter expert, and share best practices across Media platforms and operational processes. Cross-Functional Collaboration- Proven ability to work effectively with Product, Engineering, Platform, Operations, Architecture, and external supplier teams. Operational Ownership- Ability to make informed decisions in live and time-sensitive operational environments while balancing technical, service, and commercial considerations. Communication & Stakeholder Management- Strong written and verbal communication skills with the ability to engage effectively with technical and non-technical stakeholders. Knowledge & Experience Experienced in Media Engineering within VOD, OTT, Broadcast, Playout, or Cloud Media environments. Demonstrable experience supporting Media workflows, platform configuration, metadata management, content delivery, service onboarding, and operational ownership of Media services. Experience working with cloud-hosted Media platforms and services running within AWS environments. Practical experience using AWS services such as Lambda, Step Functions, S3, EventBridge, and IAM for deployment, troubleshooting, and operational support. Experience working with Git-based source control, configuration management, and CI/CD deployment processes. Ability to understand, troubleshoot, and make changes to software-driven workflows, automation, and cloud-native services. Experience working with vendor-supported Media platforms and third-party integrations. Knowledge of XML and structured configuration formats used in Media workflows. Experience supporting or integrating cloud playout platforms, scheduling systems, playlist-driven workflows, or channel operations is beneficial. Good Python knowledge for workflow logic, automation support, AWS Lambda troubleshooting, and operational scripting is highly desirable. Knowledge of Infrastructure as Code tooling such as Terraform or Terragrunt is advantageous. Experience reverse-engineering legacy workflows and supporting migration to cloud-based platforms would be advantageous. Exposure to incident management, operational escalation, and live service support is desirable. Qualifications: A degree or equivalent experience in Media Technology, Computer Science, Software Engineering, Broadcast Engineering, Electrical Engineering, or a related discipline is advantageous. Important: This is not a traditional Playout Operations or Broadcast Support role. Successful candidates will have experience working with cloud-based media platforms and be comfortable engaging with software engineering concepts, source control, deployment pipelines, configuration management, automation, and code-based workflows, even where software development is not their primary discipline.

The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high-volume multimedia or real-time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies. You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute-with confidence scoring to know when to automate and when to seek human input. We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self direction to their craft. You'll work directly on our core learning library, ship features with real enterprise customers, and contribute back to the platform. The work spans continuous learning systems, agentic features, human in the loop feedback loops, and agent orchestration. What You'll Do Build and contribute to our core context learning library, implementing new learning capabilities with customers then generalizing them back into the platform Design and implement LLM-powered systems and agentic workflows from concept to production Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production Build agentic features for knowledge management-think agents that can edit, update, and maintain large knowledge bases autonomously Build reliability and confidence systems-evaluation frameworks, confidence scoring, and logic for when to automate vs. when to elevate to a human Architect async, scalable systems that handle complex AI orchestration Contribute to the direction of our AI strategy and product capabilities What We're Looking For You've built complex, production LLM-based systems with real depth-something with multiple layers of engineering decisions you can walk through in detail You've shipped something meaningful to production and can explain how it evolved You're excited by open-ended problems where the solution might not exist yet You have experience with (or strong interest in) how systems learn and improve over time: human in the loop feedback, prompt optimization and context engineering You have experience building agents and autonomous systems You can navigate between research papers and production code with equal comfort You have 3+ years of professional experience You're a strong communicator who can clearly explain their work, both to teammates and to customers Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we're building A Few Details Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

Synthesia, the world's leading AI video platform, is hiring a Senior Data Scientist (L5) to join the Product Data team. You will analyse unstructured conversation data at scale to uncover patterns that drive product decisions and improve adoption, retention, and cost efficiency. You will design evaluation frameworks, build semantic models, and work with Product and Engineering to close the loop between insights and action.

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Role Purpose We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next. The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency. For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team. What You'll Do Build product evaluation frameworks Define how we measure "good" for AI-native features beyond traditional funnels. Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns - e.g., "What types of prompts succeed vs. fail? What causes users to retry? What signals indicate satisfaction?" Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes. Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not. Analyse user-AI interactions at scale Work with large conversation datasets to deeply analyse how users interact with AI features (prompts, edits, retries, acceptance, abandonment). Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions. Build models that answer the questions dashboards cannot: what predicts a good user outcome, what drives failure, and where the highest-leverage improvements are. Shape the product roadmap Turn findings into specific, prioritised recommendations that feed directly into the product roadmap. Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action. Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions. Drive growth and financial metrics Link AI feature usage to activation, retention, expansion, and cost efficiency. Help answer questions like: Which interactions create durable value? Where are we over spending compute for low user impact? Build infrastructure and raise the bar Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation. Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value. What We're Looking For Experience Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale. You have actually analysed large volumes of user text (prompts, messages, feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Skillset Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar. You pick the method that fits the question, not the other way around. Deep expertise in experimentation design and statistical inference. You can design a valid experiment, choose the right test, and explain the results to a non-technical audience. Fluency in SQL and Python. Comfortable working with large, messy, high-dimensional interaction data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis, or clustering user behaviour. Track record of influencing product strategy at a senior level, not just delivering analyses. Experience mentoring or technically leading other analysts or data scientists. Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Benefits You will be compensated well with a generous salary and equity Flexible, remote-friendly role for team members working in UK/Europe You get 25 days of annual leave + local holidays Regular team offsites where you'll get to collaborate with the product & engineering team in person Work from home budget "Work from anywhere" up to 60 days per year Generous referral scheme of up to $10,000 USD for each successful referral

Job Description - Technical Architect Company Details - BritBox International BritBox Office Hub - London Your Location - London Reporting To - Principle Architect Direct Reports - NA Contract Type: Permanent / full time About Us Welcome to BritBox, the go-to streaming destination for the best of British entertainment. Born of the BBC, we bring authentic British stories to audiences all around the world. Since our launch in 2017, our fans have fuelled our growth to seven markets, including North America, Australia, and the Nordics. We're a small but mighty streamer that punches above its weight, we're on every major distribution platform and even among the bright lights of Times Square! And hold on to your bowler hats because we're just getting warmed up. At BritBox, we offer an unparalleled streaming collection of new and iconic mysteries, dramas, comedies and more. Our careful selection of thoughtfully crafted character-driven stories, brimming with trademark British wit and irresistible charm have helped us attract loyal fans all over the world. Now, here's where you come in: this is your chance to be a part of something big. If you're passionate about entertainment, thrive in a fast-paced environment with a high performing yet supportive culture, and want to play a meaningful role in our remarkable growth story, this is your chance. Join our team and help us bring the best of British TV to fans everywhere. Job Purpose Payments and subscriptions sit at the commercial core of a direct-to-consumer streaming service. They determine whether customers can subscribe, change plans, remain subscribed or return after leaving. Even small failures in this area can result in lost revenue, customer dissatisfaction and increased support costs. We are looking for a Solution Architect to lead the architecture of our payments, billing and subscription domain. You will design and evolve systems supporting millions of customers across multiple countries, currencies and platforms. Working hands-on alongside the Principal Architect and engineering teams, you will set technical direction, improve resilience and maintain a high quality bar across the domain. Advanced use of large language models and AI-assisted engineering is also an important part of the role. We are looking for someone who has built reliable, tested and maintainable systems around models, rather than someone whose experience is limited to using AI tools for individual productivity. Responsibilities: Payments and subscriptions Lead the end-to-end architecture of the subscription lifecycle, including sign-up, trials, plan changes, upgrades, downgrades, proration, pauses, cancellations and win-back. Define and evolve the entitlements model that connects a customer's billing status with the content and services they can access across web, mobile and connected television platforms. Set the architectural direction for payment orchestration across cards, digital wallets, PayPal and other supported payment methods. Improve gateway abstraction, payment routing, retry logic, provider resilience and failover. Lead the architecture for Apple and Google app-store billing, including in-app purchases, store-managed subscriptions, notifications, receipt validation and reconciliation. Support partner and bundle billing models, including telco and retail partnerships, vouchers, gift codes and promotional offers. Improve resilience against involuntary churn through effective retry, account updater, network tokenisation, grace-period and dunning strategies. Partner with Finance and relevant teams on multi-currency pricing, taxation, invoicing, reconciliation and revenue-recognition integrations. Support fraud prevention and chargeback mitigation with internal teams and external providers. Security and compliance Minimise PCI DSS scope through tokenisation and provider-managed payment services, and support relevant compliance assessments. Ensure payment flows meet applicable Strong Customer Authentication and 3-D Secure requirements. Ensure billing and customer-data designs comply with UK GDPR and relevant local data-protection requirements, working with Security and Legal. AI-enabled engineering Apply our standards for using large language models and agentic tools across software design, development, testing and operations. Treat specifications, context, prompts, agent configurations and evaluation criteria as version-controlled engineering artefacts. Design and improve guardrails, evaluations and quality gates for AI-assisted development and any customer-facing AI capabilities. Build production integrations using structured outputs, retrieval, tool use, function calling and Model Context Protocol where appropriate. Make evidence-based decisions about prompting, retrieval, fine-tuning, model selection, latency, cost and token budgets. Help engineering teams use AI coding tools at scale while maintaining architectural consistency and code quality. Technical leadership Work closely with the Principal Architect and participate actively in technical-design and architecture sessions. Provide architectural oversight to product, engineering, QA and support teams working across payments and subscriptions. Review the existing technology landscape, identify weaknesses and recommend practical, evidence-based improvements. Monitor the operational health of the billing platform using measures such as authorisation rates, payment success rates and involuntary churn. Translate business, customer and operational requirements into clear solution designs, use cases and acceptance criteria. Identify technical risks early and maintain clear architecture decisions and supporting documentation. Knowledge and Experience Essential experience Strong software-engineering and solution-architecture experience, with significant depth in payments, billing or subscription platforms. Practical understanding of payment providers, payment orchestration, subscription lifecycles and the failure modes that contribute to revenue loss and involuntary churn. Working knowledge of PCI DSS, PSD2 Strong Customer Authentication, 3-D Secure and relevant data-protection obligations. Experience designing cloud-scale microservices and direct-to-consumer platforms. Strong AWS experience; Azure experience would be beneficial. The ability to translate commercial and operational requirements into clear technical designs. Strong communication skills, with the ability to influence both technical and non-technical stakeholders. The ability to work autonomously within a collaborative Agile delivery environment. Advanced AI engineering experience This requirement will be assessed directly during the recruitment process. We are particularly interested in candidates who can demonstrate: Repositories in which AI tooling has been configured deliberately through project context, specifications, defined agents or roles, and repeatable workflows. Evaluation frameworks that measure the quality and reliability of LLM-supported processes. Production or near-production solutions using retrieval, tool use, function calling or Model Context Protocol. Practical experience managing model failure, security, cost, latency and observability. Sound judgement about when not to use an LLM, and when to choose prompting, retrieval or fine-tuning. The ability to maintain architectural and coding consistency when AI development tools are used across a team. Experience with Claude and Claude Code is strongly preferred. Familiarity with spec-driven development approaches would also be valuable. Candidates should be prepared to discuss work they have built or shipped and the decisions behind it. This could be demonstrated through a repository, technical write-up, case study or other appropriate format. Desirable experience AWS Certified Solutions Architect, Associate or Professional (Strongly desidered). Experience in OTT, streaming or subscription video services. Familiarity with connected television platforms such as Roku, tvOS, Samsung and LG, and mobile platforms including iOS and Android. Hands-on experience with app-store billing and reconciliation. Experience with technologies such as Kubernetes, Docker, .NET, Python or Node.js. Experience establishing team-wide standards for AI-assisted software development. Our Values Our BritBox Global Values not only represent our culture but also ensure that we have principles that shape everything we do. Defined by our employees, they are not just words on a page, but the foundation of how we work together, every day. Our values have been cascaded into specific behaviours, which are embedded into all of our people processes, including hiring, onboarding, performance evaluation and feedback. We are proud of our values and seek to hire people who resonate with them. This job spec is not exhaustive and may change from time to time in line with the evolving nature of a dynamic and growing business.

AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.

The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across the company. This brand new role is created to bridge the gap between application development and platform engineering, creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high impact role with real scope to influence how engineering works at the company. What you'll get to do in the role: Own and evolve the service template library for .NET, Node.js and Python - covering project scaffolding, dependency management, containerisation, local development setup and production configuration. Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning and deployment - consistent across stacks and reusable across teams. Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production ready from day one. Work hands on with Datadog, incident.io and/or GCP/Azure native logging and monitoring tooling to build the platform level observability layer teams plug into. Contribute to our thinking on a potential Azure to GCP migration - helping assess changes for developer tooling and service templates and building proof of concept work that informs the decision. Partner with product engineers to understand where developer experience breaks down - slow pipelines, confusing templates, missing runbooks - and fix the root causes, not the symptoms. Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. Mentor engineers in the Cloud Platform team and act as a go to resource for product engineers getting to grips with platform tooling. What we think you'll need: Proficient in at least one of .NET (C#), Node.js or Python - able to build, configure and template production grade services in each. Strong GCP experience (Azure experience is a nice to have). Hands on experience designing reusable CI/CD pipeline templates - GitHub Actions or Azure DevOps - consistent across stacks and teams. Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. Observability experience with at least one of Datadog, incident.io or cloud native logging and monitoring (GCP Cloud Operations or Azure Monitor). Infrastructure as code with Terraform. A proven track record of driving adoption - building things engineers use, writing docs that get read. The interview process: Screening call with Chess (Internal Recruiter) (30 min) Video interview with the Hiring Manager (45 min) In person code pairing interview with a member of Engineering team (1 hour) Video interview with the wider company team (1 hour)

Location London Employment Type Full time Location Type Hybrid Department Engineering Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will focus on friction points around primarily backend issues for all teams in Engineering (90 Engineers). How should we do inter-service testing? Some teams are using monorepo, others aren't. How can we bring overall stability up? Generally steering BE in the right direction. In the near future, standardising things across all of Engineering and bringing R&D teams (another 40 Engineers and Researchers) closer. You will have ownership of projects that span quarters, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of Engineering, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 12-18 months' time. You will work end-to-end, from our client application written in React to our monolithic backend written in Python, and lead projects that span across multiple teams. What we're looking for: At least ten (10) years of experience as a software engineer, at least 2 at the Senior Staff/Principal level (L7+). Previous leadership experience in driving projects across multiple teams (50+ Engineers). Experience in a high-performing engineering Org that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. Relevant engineering experience for a team building an enterprise-grade SaaS product. Extra points for delivering AI-powered video generation product, billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 200.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

Data Analyst Reports to: Head of Commercial Data Intelligence About Independent Media Independent Media comprises The Independent, Standard Digital, Bulletin, BuzzFeed UK, HuffPost UK, Tasty UK, Seasoned, IndyBest and indy100. Harnessing market-leading innovation and excellence across its portfolio of pioneering brands, Independent Media has unrivalled scale, integrity and authority via its sites, apps, video, audio, experiential, newsletters and social media. While each Independent Media brand speaks in an authentic, unique voice to a loyal and distinct audience, they stand together in their commitment to positivity, inclusivity, and quality journalism and content. Independent Media's network reaches 650 million users each month, with 1.1 billion content views across its brands and platforms, including web, apps, social media, podcasts, email, YouTube, syndication partners and print. The role and the team The Advertising Operations function consists of three core pillars: Campaign Management - delivery and optimisation of direct-sold campaigns, trafficking, QA and client service support. Ad Tech Ops and Partnerships - yield management, SSP relationships, inventory strategy, deal management and auction optimisation. Ownership of the advertising technology stack including ad server, header bidding, identity and consent integrations, measurement solutions and platform performance. Revenue Intelligence - revenue analysis, yield reporting, forecasting support, performance diagnostics and data-led commercial insight to drive monetisation strategy and optimisation. As a Data Analyst, you will translate the modeled data into decisions, revenue forecasts, partner performance narratives, yield optimization recommendations that go to stakeholders (sales, finance, programmatic, ad tech). You will work closely with the Ad Operations and Data Engineering team to make sure data is accurate, accessible, and ready for analysis. Your work will help the company optimise revenue, run experiments, and lay the foundation for AI-driven automation. This is a unique opportunity to learn ad tech, revenue analytics, and AI-enabled decision-making while developing strong engineering skills, writing clean, production-ready code, building scalable data pipelines, and contributing to a high-impact team. Diversity, Equity and Inclusion We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that's more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here. The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. About you You hold a degree in a business-related field (such as Economics, Business Analytics, or a STEM subject). You have a solid grasp of fundamentals like SQL and Python and are eager to master the modern data stack. You don't just flag problems, you look for solutions, take ownership of your tasks, and tackle complex challenges head on. You're naturally curious, you ask why, and you don't stop until you've got a real answer. You manage your time effectively and thrive in a fast moving, commercial environment. You communicate effectively by building well documented, intuitive data models that business users can explore autonomously. You're keen to use AI and modern tools in your day to day work, rather than defaulting to spreadsheets. You work well under pressure and can juggle shifting priorities. Key responsibilities and accountabilities Proactively develop and automate data-driven recommendations for revenue optimisation and partner strategy. Design, run, and analyse A/B tests to support yield and revenue optimisation decisions. Enable self serve analytics by building robust, reliable datasets for commercial teams instead of fielding individual report requests. Use AI tools to speed up analysis and get to insights faster. Implement automated testing, monitoring, and alerting within the data pipelines to catch discrepancies in revenue, yield, or partner data before they reach downstream dashboards. Learn and contribute to ad tech operations and revenue optimisation projects. Essential skills and experience Track record of taking ambiguous data problems from initial scoping to final delivery. Confident in SQL, with some Python. Familiar with modern BI tools. Good written and verbal communication, comfortable presenting to stakeholders. A strong interest in exploring AI, automation, and predictive analytics to drive business value. An interest or background in setting up and evaluating A/B tests. Our values - you will deliver across all our values Inclusive: We champion diversity in our teams and in our reporting. Working as a team, we put transparency and effective communication at the heart of everything we do. Innovative: From the very beginning, The Independent has been breaking the mould. We take risks and are always looking to try new ideas in pursuit of excellence. Independent: Nobody tells us what to think; we make up our own minds and aren't afraid to do things differently. Like our readers, we value honesty and integrity above outside influences.

About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform designed to make small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab levels of precision applied to the chaotic world of prototyping and low-volume production. The result? A 10x throughput improvement in one of the world's most foundational industries. We've raised $48M from top-tier investors, including Y Combinator, Google Ventures and now Plural and Sten Tamkivi, and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline. The Grid isn't a prototype. It's live, scaling fast, and delivering real revenue. We're now building the engineering core that will scale it further. Overview CircuitHub is primarily built using a combination of Haskell, Nix, and PostgreSQL, deployed to both AWS and bare metal machines. We use a significant amount of open-source technology, and also try and give back where possible (for example, both Rel8 and Fast Downward Haskell bindings). CircuitHub spans a vast problem space. Challenges include computer vision (OpenCV), machine learning (PyTorch), hard optimization problems (Z3/MiniZinc/OR-Tools), and all the normal engineering challenges of building both web-based customer-facing and internal tooling. We work on manufacturing execution systems, enterprise resource planning, and robotics. An old video from Haskell Exchange 2019 hints at what we are up to on the robotics side. We have progressed significantly since then! These roles are remote (any location), in-person, or hybrid, depending on preference. We have offices in South Deerfield - USA, Cambridge, and London, UK. Salary depends on the candidate and location, but as guidance in the UK, a likely range is £70k to £130k and in the US $130k to $250k, with additional equity. CircuitHub has raised $48M from top-tier VCs and has been going for about ten years. CircuitHub is profitable, with tens of millions in revenue. Small team (CircuitHub is 50 employees) with tremendous growth opportunity and low risk. We are aiming to 10x capacity through 2027 in both our existing Massachusetts factory and expand into Europe. Team/Environment/Role Our R&D team is more than 20 people, with eight engineers working directly on the Haskell code base. We are looking to expand the team significantly this year. We have many exciting problems to solve, from robotic path planning to more conventional web products. We are happy to consider candidates without commercial Haskell experience, but your other skills and experience would need to compensate. A possible profile, for instance, would be a professional robotics background with some hobbyist FP experience. Conversely, for experienced Haskellers without experience in our domain, we will look for interests that correlate with what we are trying to accomplish. Life is too short to work on something you are not passionate about! Location Work remotely, or from one of our labs in the UK (London, Cambridge) or USA (Boston)

About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform designed to make small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab levels of precision applied to the chaotic world of prototyping and low-volume production. The result? A 10x throughput improvement in one of the world's most foundational industries. We've raised $48M from top-tier investors, including Y Combinator, Google Ventures and now Plural and Sten Tamkivi, and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline. The Grid isn't a prototype. It's live, scaling fast, and delivering real revenue. We're now building the engineering core that will scale it further. Overview CircuitHub is primarily built using a combination of Haskell, Nix, and PostgreSQL, deployed to both AWS and bare metal machines. We use a significant amount of open-source technology, and also try and give back where possible (for example, both Rel8 and Fast Downward Haskell bindings). CircuitHub spans a vast problem space. Challenges include computer vision (OpenCV), machine learning (PyTorch), hard optimization problems (Z3/MiniZinc/OR-Tools), and all the normal engineering challenges of building both web-based customer-facing and internal tooling. We work on manufacturing execution systems, enterprise resource planning, and robotics. An old video from Haskell Exchange 2019 hints at what we are up to on the robotics side. We have progressed significantly since then! These roles are remote (any location), in-person, or hybrid, depending on preference. We have offices in South Deerfield - USA, Cambridge, and London, UK. Salary depends on the candidate and location, but as guidance in the UK, a likely range is £70k to £130k and in the US $130k to $250k, with additional equity. CircuitHub has raised $48M from top-tier VCs and has been going for about ten years. CircuitHub is profitable, with tens of millions in revenue. Small team (CircuitHub is 50 employees) with tremendous growth opportunity and low risk. We are aiming to 10x capacity through 2027 in both our existing Massachusetts factory and expand into Europe. Team/Environment/Role Our R&D team is more than 20 people, with eight engineers working directly on the Haskell code base. We are looking to expand the team significantly this year. We have many exciting problems to solve, from robotic path planning to more conventional web products. We are happy to consider candidates without commercial Haskell experience, but your other skills and experience would need to compensate. A possible profile, for instance, would be a professional robotics background with some hobbyist FP experience. Conversely, for experienced Haskellers without experience in our domain, we will look for interests that correlate with what we are trying to accomplish. Life is too short to work on something you are not passionate about! Location Work remotely, or from one of our labs in the UK (London, Cambridge) or USA (Boston)

About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform designed to make small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab levels of precision applied to the chaotic world of prototyping and low-volume production. The result? A 10x throughput improvement in one of the world's most foundational industries. We've raised $48M from top-tier investors, including Y Combinator, Google Ventures and now Plural and Sten Tamkivi, and we're already profitable. Our customers include industry leaders like Tesla, Meta, and Zipline. The Grid isn't a prototype. It's live, scaling fast, and delivering real revenue. We're now building the engineering core that will scale it further. Overview CircuitHub is primarily built using a combination of Haskell, Nix, and PostgreSQL, deployed to both AWS and bare metal machines. We use a significant amount of open-source technology, and also try and give back where possible (for example, both Rel8 and Fast Downward Haskell bindings). CircuitHub spans a vast problem space. Challenges include computer vision (OpenCV), machine learning (PyTorch), hard optimization problems (Z3/MiniZinc/OR-Tools), and all the normal engineering challenges of building both web-based customer-facing and internal tooling. We work on manufacturing execution systems, enterprise resource planning, and robotics. An old video from Haskell Exchange 2019 hints at what we are up to on the robotics side. We have progressed significantly since then! These roles are remote (any location), in-person, or hybrid, depending on preference. We have offices in South Deerfield - USA, Cambridge, and London, UK. Salary depends on the candidate and location, but as guidance in the UK, a likely range is £70k to £130k and in the US $130k to $250k, with additional equity. CircuitHub has raised $48M from top-tier VCs and has been going for about ten years. CircuitHub is profitable, with tens of millions in revenue. Small team (CircuitHub is 50 employees) with tremendous growth opportunity and low risk. We are aiming to 10x capacity through 2027 in both our existing Massachusetts factory and expand into Europe. Team/Environment/Role Our R&D team is more than 20 people, with eight engineers working directly on the Haskell code base. We are looking to expand the team significantly this year. We have many exciting problems to solve, from robotic path planning to more conventional web products. We are happy to consider candidates without commercial Haskell experience, but your other skills and experience would need to compensate. A possible profile, for instance, would be a professional robotics background with some hobbyist FP experience. Conversely, for experienced Haskellers without experience in our domain, we will look for interests that correlate with what we are trying to accomplish. Life is too short to work on something you are not passionate about! Location Work remotely, or from one of our labs in the UK (London, Cambridge) or USA (Boston)