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Join the platform engineering team to build and operate core infrastructure: own CI/CD and deployments, manage cloud and Kubernetes at scale, automate tooling, optimize performance and capacity, define SLIs/SLOs, run incident response and postmortems, and implement observability (metrics, logs, traces) across services.

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.

Join Encord as a former technical founder to drive high-impact opportunities, build internal tools, and shape the company's trajectory with an entrepreneurial mindset.

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

The role involves building and scaling Encord's Physical AI business, focusing on high-potential account identification, executing multi-channel outreach, and supporting sales processes while offering growth opportunities in a fast-paced environment.

The Growth Manager will oversee multi-channel campaigns targeting Physical AI teams, focusing on customer engagement, pipeline generation, and performance analysis in HubSpot.

The Account Executive role involves managing the full sales cycle, selling to AI teams, and collaborating with various departments to drive growth.

As a Forward Deployed Engineer at Encord, you will manage the deployment of the platform, ensuring customer onboarding and success, building data integrations, and collaborating across teams to enhance product value.

Responsible for owning the full sales cycle, selling to mid-market and enterprise teams, and driving deals for an AI infrastructure platform.

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.