Job Summary:
HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. The Data Operations Engineer will serve as the operational backbone of the product organization, working closely with the CTO and Head of Product to ensure synchronization between Product Engineering, Deployments, Go-To-Market, and Operations.
Responsibilities:
โข The Bridge to Deployments: act as the primary link between the Product Engineering team and the Deployment team. You will ensure the Deployment team is enabled on new features, oversee the technical feedback loop from the field back to engineering, and guarantee new releases are successfully brought to market.
โข GTM & Commercial Enablement: Partner with GTM to drive technical enablement, support Product-Led Sales (PLS) motions, and refine feature pricing structures. You ensure the commercial side understands the technical reality and value of what we are shipping.
โข Metrics & Measurement: Work alongside Engineering and Strategy & Ops to define and track product and company metrics. You will get your hands dirty with raw data to ensure we are optimizing for the right outcomes.
โข Data Labeling Operations: Manage the human element of our agentic stack across voice, reasoning and coding agents. You will own the coordination of in-house labelers and external agencies to ensure high-quality training data throughput.
Qualifications:
Required:
โข 3+ years of experience in a technical or operations-heavy role (e.g., Product Operations, Solutions Engineering, Technology Strategy Consulting, Technical Program Management, or Forward Deployed Engineering).
โข Strong analytical & technical aptitude โ be able to solve problems with technology.
โข Experience working in a multi-stakeholder environment, specifically interfacing between Engineering and Commercial/Field teams.
โข Ability to balance 'big picture' strategic work (pricing, analysis) with 'in the weeds' execution (data labeling coordination for RLHF, deployment coordination).
Company:
HappyRobot is an operating system for building and managing an AI workforce for business automation. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.