Staff Product Engineer, 0→1 JD

Location: LA Hybrid or Remote

Department: Engineering

The Role

We are hiring a Staff Product Engineer to become the founding technical leader for one of Revenue.io’s most important new product investments.

You will have substantial ownership from the beginning: shaping the product with customers and company leaders, defining its technical foundation, and building the first production versions yourself. This is a rare opportunity to take an important customer problem from an early thesis to a trusted product with meaningful market impact.

You will report directly to the Chief Engineering & AI Officer and partner closely with Product, Data, AI, and GTM leadership. This is initially a deeply hands-on individual-contributor role. As the product succeeds, you will help establish (or manage) the team, technical standards, and operating model around it.

What You'll Do

• Work directly with Product, customers, and company leaders to identify valuable problems and turn complex requirements into intuitive workflows.
• Own the technical direction and hands-on development of the product across frontend, backend, APIs, data models, and integrations.
• Make foundational architecture and applied ML/AI decisions that balance rapid iteration with reliability, maintainability, and scale.
• Establish a high engineering bar and lead consequential technical and product decisions through judgment, data, and influence.
• Mentor cross-pod engineers and create the technical and operating foundation from which a future product team can grow.

What Success Looks Like

• Launch a product that customers adopt and love; improve customer workflows through intuitive, high-impact features.
• Validate product decisions through rapid experimentation and iterative learning cycles.
• Build a system architecture and data model that support continued iteration without rework or instability.

What We're Looking For

• Demonstrated experience owning and shipping customer-facing products with Staff-level scope and impact.
• Strong product judgment, customer empathy, and the ability to simplify complex problems.
• Strong full-stack product engineering skills, including fluency with APIs, data models, and SQL.
• Experience shipping 0→1 or early-stage products in ambiguous, fast-moving environments.
• The ability to lead consequential technical decisions through sound judgment, collaboration, and influence.

Bonus

• Experience building AI B2B SaaS, workflow, planning, or decision-support products.
• Familiarity with Salesforce-integrated products or GTM tech.

Hybrid in LA is expected to be in the office 1x a week on Tuesday.