Technical Project Manager

Reinforce Labs, Inc.; Palo Alto (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Reinforce Labs, Inc. in Palo Alto is hiring a Technical Project Manager to lead cross-functional engineering programs. This role involves owning project delivery, aligning multiple teams, and managing dependencies while ensuring high quality.

The ideal candidate will have program management experience in a software environment, technical fluency, and excellent communication skills. This position offers the chance to work with an agile team focused on innovative AI solutions.

Qualifications

• Experience managing high-growth software projects.
• Proven track record of delivering end-to-end programs.
• Ability to communicate technical details clearly.

Responsibilities

• Own delivery of cross-functional engineering programs.
• Build and defend project plans with clear milestones.
• Drive meetings effectively to ensure productive outcomes.
• Identify and mitigate risks before they impact timelines.
• Propose changes for continuous improvement.

Skills

Program/project management experience

Technical fluency

Outstanding written communication

Curiosity and ambition

Job description

About Reinforce Labs

We're an early-stage startup disrupting how companies evaluate their AI systems. Our customers care deeply about safety, trust, compliance, and revenue impact. We help them launch AI confidently: catching regressions before customers do, measuring if their systems meet the bar and tying it to business outcomes.

We're small, technical, and agile. The eval space is changing weekly, and we intend to define the category. If you want to take part in something from the early stages, read on.

About the Role

We're hiring a Technical Project Manager to drive execution across the engineering organization. You'll own the delivery of high-stakes, cross-functional programs that span engineering, AI/ML infrastructure, data, and product, keeping multiple teams aligned, dependencies unblocked, and leadership informed at every step.

This is not a process-for-process's-sake role. We're looking for someone who can sit in a room with engineers, understand the technical tradeoffs being debated, identify the real risks, and drive the team to a decision. You'll be measured on outcomes: did the program ship, did it ship on time, and did it ship at the quality bar our users deserve.

What You'll Do

• 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.

What We're Looking For

Required

• 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.

Bonus

• 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.d
• Experience standing up a TPM function or program from scratch.