Jobs at Encord

Lead architecture and implementation of large-scale, distributed backend systems. Design databases, processing systems, APIs, and protocols; drive major migrations and re-architectures. Own reliability, monitoring, and production operations while mentoring engineers and driving cross-team technical alignment.

Partner with sales and ML teams to lead technical strategy for complex enterprise deals. Run deep discovery, design integrations, build customized demos and end-to-end POCs, write production-quality Python scripts for data pipelines and API integrations, and advise on security, architecture, and multimodal/robotics data workflows while relaying customer feedback to Product and Engineering.

Encord seeks former technical founders to drive high-leverage opportunities in product, engineering, GTM, and operations, emphasizing entrepreneurial mindset and ownership.

The Human Data Operations Strategist manages data annotation projects, optimizes workflows, ensures high data quality, and collaborates with clients and teams for AI model development.

Partner with Growth and Sales to own GTM financial planning, forecasting, and unit-economics frameworks. Build models (LTV/CAC, payback, channel ROI), drive investment allocation rigor, produce variance analysis with actionable narrative, prepare executive materials, and ensure alignment with accounting. Use automation and AI tools to modernize finance processes.

The Forward Deployed Engineer will manage platform deployment for strategic customers, build data integrations, offer guidance, and collaborate with internal teams to ensure successful onboarding and product adoption.

The Senior Product Marketing Manager will lead messaging, sales enablement, and customer engagement for the Encord platform, collaborating with product and engineering teams to create compelling content and strategies.

The Commercial Associate will engage in outbound sales strategies, account prioritization, and collaborate with Account Executives to drive opportunities, aiming for fast growth and skill development in a technical B2B environment.

As a Full-Stack Software Engineer, you will develop foundational systems, take ownership of projects, and improve the platform's performance and reliability in a collaborative environment.

The Senior Software Engineer will develop complex UIs for multi-modal data visualization, optimizing performance for 3D/4D scenes and collaborating across the stack and team.

As a Senior Product Engineer, you will build scalable back-end systems and user-friendly front-end interfaces, work with ML workflows, and lead product features from conception to completion while collaborating closely with customers and product teams.

As a Senior Software Engineer, you will enhance performance and reliability of Encord's platform, manage projects from architecture to deployment, and collaborate with teammates to solve complex problems in AI data management.

As a Backend Software Engineer, you will build scalable backend applications, influence product decisions, and work with cross-functional teams to achieve impactful results on Encord's AI platform.

As a Senior Product Manager at Encord, you will manage product strategy and roadmap, collaborate with cross-functional teams, and address complex challenges in AI data infrastructure.

The Senior Software Engineer will build and maintain scalable backend systems, focusing on performance and reliability in handling structured and unstructured data using PostgreSQL and ClickHouse. Responsibilities include project ownership, tackling infrastructure challenges, and collaborating within a small team.

Build complex UIs for visualising and annotating multi-modal data, render high-performance 3D/4D scenes, and collaborate within a team.

The Senior Full-Stack Engineer will build and maintain high-performance frontends, manage backend data systems, and ensure optimal data transfer/storage while working in Physical AI and robotics environments.

Full-cycle AE role selling Encord's data platform to robotics, autonomous vehicle, and Physical AI teams. Own pipeline through close, build technical and executive relationships, shape ICP, partner with Product and CS, and hit pilots and revenue targets in an early-stage GTM environment.