Top Tech Jobs & Startup Jobs

Conduct original research in robotics, computer vision, and multimodal machine learning, focusing on data curation, annotation, evaluation, and quality control. Develop hypotheses, experiments, and end-to-end prototypes for agentic multimodal workflows, video understanding, and 3D applications. Collaborate with ML and product engineering teams to integrate successful research into the platform, shape research strategy, mentor colleagues, and publish findings.

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.

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.