Jobs at Encord

Build and deploy production software for complex customer data, machine learning, and application environments. Own system design, deployments, integrations, backend services, APIs, data workflows, and product functionality end to end. Work directly with customers and engineering teams, debug production issues, create reusable tooling, communicate technical trade-offs, and feed deployment insights into product and engineering roadmaps.

Build and own greenfield software for Encord’s Data as a Service platform, enabling AI-assisted workflows between models and human annotators. Responsibilities include customer discovery, product and architecture decisions, full-stack implementation, deployment, monitoring, and measuring user impact. The role requires autonomy, close customer collaboration, strong software engineering judgment, and the ability to solve ambiguous problems across robotics, autonomous vehicles, and healthcare.

Own Encord Platform messaging across use cases, verticals, and personas. Develop positioning, value propositions, customer stories, sales enablement, website content, campaigns, and event materials. Partner with product, engineering, sales, and growth marketing teams to refine offerings, support go-to-market plans, and engage enterprise AI customers. Serve as a technical platform expert, including presenting and demonstrating products to prospects and at events.

Design, build, deploy, and own high-performance distributed data systems processing petabytes of robotics data and billions of items. Develop performant protocols and APIs, ensure reliability under heavy load, manage production services, and improve systems through testing, monitoring, code reviews, and careful architectural decisions. Collaborate with a high-performing team while solving complex data-intensive problems for AI and robotics applications.

Source and engage candidates across technical and non-technical roles, research talent markets, support interviews and onsite experiences, improve recruiting processes with AI and automation, and contribute to projects that accelerate hiring.

Sources and engages go-to-market candidates across Sales, Marketing, and Customer teams. Builds market maps and pipelines, conducts initial screens, manages candidate processes, tracks recruiting metrics, and partners with recruiters and hiring managers to remove bottlenecks. The role emphasizes outbound sourcing, organization, candidate experience, experimentation, and growing ownership of recruiting searches toward full-cycle recruiting.

Lead product strategy and roadmap for Encord’s AI data platform, spanning core platform, data curation, and exploration. Manage and develop Product Managers, establish product craft standards, conduct customer discovery, and translate enterprise needs into product bets. Partner with Engineering, Design, Sales, and Customer Success to deliver features, drive adoption, expansion, and customer outcomes while building a high-performing product culture.

Build and own high-performance distributed data systems supporting multimodal AI workloads. Responsibilities include designing, deploying, monitoring, and scaling storage, indexing, querying, processing, protocols, and APIs. The role requires production service ownership, sound architectural judgment, performance optimization, reliability engineering, and mentoring through code reviews, pairing, and knowledge sharing.

Lead Encord’s business development growth by building and scaling its pipeline-generation engine, developing outbound campaigns and messaging, partnering with Sales, Marketing, Customer Success, and company leadership, and mentoring Commercial Associates and BDRs. The role focuses on sales enablement, coaching, team development, experimentation, prospect engagement, and achieving ambitious growth targets within a high-growth AI startup.

Build and operate Encord’s cloud infrastructure, deployment pipelines, Kubernetes platforms, automation, observability, and reliability processes. Design scalable infrastructure across GCP and AWS, optimize performance and capacity for large data workloads, define SLIs/SLOs/SLAs, improve incident response, and collaborate with engineering squads to promote resilient, automated DevOps practices.

Oversee UK office operations, including scheduling, supplies procurement, onboarding, systems setup, company events, and HR initiatives. The role supports process improvement, vendor relationships, compliance activities, office moves, event logistics, and operational projects while enhancing employee experiences in a fast-growing company.

Lead and scale Encord’s sales organization, owning revenue growth across enterprise and mid-market markets. Hire, coach, and develop sales talent while personally managing sales cycles during ramp-up. Shape go-to-market strategy, expand ideal customer profiles and verticals, position the AI infrastructure product, engage senior technical buyers, represent the company externally, and collaborate with Product, Engineering, Customer Success, and Marketing.

Manage bookkeeping, accounts payable and receivable, VAT returns, employee expenses, client invoicing, billing workflows, reconciliations, month-end close, general ledger maintenance, financial reporting, budgeting, and variance analysis. The role also improves finance processes, supports operational projects, and collaborates with cross-functional teams in a high-growth AI startup.

Own full-cycle recruiting for sales, marketing, partnerships, and broader commercial roles. Partner with senior leaders to define hiring profiles and strategies, build outbound pipelines, conduct candidate screens, manage searches, identify risks, and improve hiring velocity using funnel data. Deliver strong candidate experiences in a fast-paced startup environment while independently managing multiple searches and maintaining high hiring standards.

Owns complex human data and annotation programs end to end, translating machine learning requirements into workflows, standards, and instructions. Manages distributed annotator teams, task allocation, training, performance, quality, throughput, timelines, reporting, and risk. Partners with Quality, Product, and Engineering teams to establish measurable acceptance criteria, improve processes, and resolve technical edge cases for AI and robotics projects.

Own Encord’s data quality systems across automated evaluation and manual auditing. Build Python and SQL pipelines using LLM-assisted screening, agreement analysis, anomaly and drift detection, and ground-truth datasets. Hire and manage a distributed audit team, define quality rubrics and thresholds, report quality KPIs, oversee quality unit economics, and partner with Product and Engineering to embed measurement capabilities into the platform.

Own and deliver large-scale backend infrastructure projects end to end, including architecture, deployment, monitoring, and impact measurement. Build reliable distributed systems, performant APIs, database and processing systems, and production services that operate under heavy load. Contribute to code reviews, testing, rollouts, and mentoring while solving complex problems autonomously and planning for significant future scale.

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.