Reinforce Labs
AI
TechnicalProjectManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Technical Project Manager at Reinforce Labs. Skills: Technical Project Management, Cross-functional program delivery, Risk management, Dependency tracking, Process improvement. Own end-to-end delivery of cross-functional engineering programs from kickoff through launch and post-launch measurement. Build the plan, then defend it”
What You'll Achieve.
Did the program ship; Did it ship on time; Did it ship at the quality bar our users deserve
Industry & Context.
Understand the technical tradeoffs being debated; Identify the real risks; Drive the team to a decision; Surface and unblock risks before they become slips; Propose mitigations rather than just flagging problems
What They're Looking For.
Must Have
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 Have
Experience at a 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
What You'll Do.
Own end-to-end delivery of cross-functional engineering programs from kickoff through launch and post-launch measurement
Break ambiguous objectives into milestones
Pressure-test scope with engineering and product leads
Re-plan when reality changes
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
Propose mitigations rather than just flagging problems
Identify patterns across programs and propose changes to tooling
Partner on incident response and post-mortems for the programs you own
Make sure we learn and the fix actually ships
How You'll Work.
Team & Collaboration
Drive execution across the engineering organization; Own the delivery of high-stakes, cross-functional programs that engineering, AI/ML infrastructure, data, and product; Keeping multiple teams aligned; Dependencies unblocked; Leadership informed at every step; Sit in a room with engineers, understand the technical tradeoffs being debated; Identify the real risks; Drive the team to a decision; Track dependencies across teams (engineering, data, vendors)
Communication Scope
Outstanding written communication; Compress a complicated status into a paragraph; Compress a complicated plan into a page; Escalate cleanly; Propose mitigations rather than just flagging problems
Process & Methodology
Program/project management, End-to-end delivery, Planning, Milestone definition, Dependency management, Scope management, Risk identification, Risk mitigation, Agile methodologies (sprint planning, standups, demos, retros), Steering committees
Full 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 desi
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