Strategy & Ops Engineering

Happyrobot Inc. • San Francisco, CA

1d

About The Position

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
Role Overview:
We are looking for a Product Operations Engineer to act as the operational backbone of our product organization, you'll be working directly with the CTO and Head of Product. This is a role for a high-output technical individual contributor who loves discipline, structure, and execution. At HappyRobot, you will sit at the critical intersection of four key functions: Product Engineering, Deployments, Go-To-Market, and Operations. You are the connective tissue that ensures these teams are not just co-existing, but synchronized. You will be a generalist execution machine, deployed to solve the most important problems blocking our velocity—whether that means refining data pipelines, structuring pricing models, or managing complex deployment logistics.

Requirements

• 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).
• Strong analytical & technical aptitude – be able to solve problems with technology.
• Experience working in a multi-stakeholder environment, specifically interfacing between Engineering and Commercial/Field teams.
• Ability to balance "big picture" strategic work (pricing, analysis) with "in the weeds" execution (data labeling coordination for RLHF, deployment coordination).

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

• Opportunity to work at a high-growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed