Technical Project Manager

Reinforce Labs•Palo Alto, CA

About The Position

Reinforce Labs is an early-stage startup focused on disrupting how companies evaluate their AI systems. They aim to help customers launch AI confidently by catching regressions, measuring system performance, and linking it to business outcomes. The company is described as small, technical, and agile, with a goal to define the AI evaluation category. The role of Technical Project Manager is to drive execution across the engineering organization, owning the delivery of high-stakes, cross-functional programs involving engineering, AI/ML infrastructure, data, and product. This role requires a candidate who can understand technical tradeoffs, identify risks, and drive teams to decisions, with success measured by timely and quality program delivery.

Requirements

Curiosity and ambition
Program/project management experience in a high-growth software environment.
Track record of shipping concrete examples of programs you owned end-to-end, the constraints you operated under, and what you delivered.
Technical fluency: ask the right follow-up questions, and call out unrealistic estimates.
Outstanding written communication. You can compress a complicated status into a paragraph and a complicated plan into a page.

Nice To Haves

Experience at an AI/ML product company.
Background in software engineering, data engineering, or technical product management before moving into TPM.
Familiarity with AI/ML delivery such as agent orchestration, eval pipelines, data labeling workflows.
Experience standing up a TPM function or program from scratch.

Responsibilities

Own end-to-end delivery of cross-functional engineering programs from kickoff through launch and post-launch measurement.
Build the plan, then defend it.
Break ambiguous objectives into milestones, dependencies, and clear owners.
Pressure-test scope with engineering and product leads.
Re-plan when reality changes.
Drive rhythm. Run sprint planning, standups, demos, retros, and steering committees for the programs you lead.
Make every meeting earn its place on the calendar.
Surface and unblock risks before they become slips.
Track dependencies across teams (engineering, data, vendors), escalate cleanly, and propose mitigations rather than just flagging problems.
Improve how we work. Identify patterns across programs and propose changes to tooling, process, or org design.
Pilot, measure, scale what works, kill what doesn't.
Partner on incident response and post-mortems for the programs you own and make sure we learn and the fix actually ships.