Principal Product Manager - Agentic SQA

IR Labs is the innovation lab inside Integrated Research where small, cross‑functional squads chase outsized, industry‑defining opportunities. We operate like a funded startup—rapid sprints, bold experimentation, zero bureaucracy—backed by the global footprint and resources of a public company. Our charter is simple: turn cutting‑edge AI research into products that customers can’t imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact.

Our flagship is Agentic SQA - a software quality system that turns noisy signals (static analysis, fuzzers, sanitizers, CI output) into context‑aware triage, validated actions, and developer‑ready outputs. We’re in beta now, starting narrow on a focused C/C++ risk‑analysis workflow targeting a specific bug class, and expanding from there into broader coverage, richer evidence, and stronger control layers. The stack combines LLVM/clang static analysis, a code knowledge graph, and agentic LLM workflows.

The direction is bigger than code review: a systems verification platform that closes the gap where human‑speed review is breaking down.

If you thrive on autonomy, crave world‑class technical challenges, and want to see your ideas hit production quickly, IR Labs is your launch pad. Join us and help build the future—one breakthrough at a time.

Before you apply:
Agentic SQA is live and free to use. Install and run it. Form a view. We’ll discuss that during the interviews.

This role sits at a rare intersection:
real code intelligence depth
, real AI recency
, real product craft
. Very few people hold all three - most who built the systems intuition became security researchers, compiler engineers, or founders instead of product managers. If you’re one of the few PMs who lived in code analysis, verification, or developer security tooling - or if your path ran through engineering or founding and you’re ready to drive product - this role was written for you.

• Drive the Agentic SQA charter: partner with the Founder & General Manager on vision and strategy, then run the day-to-day: shape the roadmap, sequence the work, and ship thin slices fast. You’ll own execution; big-call direction stays a shared decision.
• Land in mid-beta and accelerate it: you’ll arrive while the beta is live. Pick up the cohort, deepen the feedback loop, and turn real usage into the next set of capability releases.
• Talk to users - really talk to them: run continuous discovery with engineers, reviewers, platform leads, and QA owners. Sit in their workflows, watch how triage actually happens, and earn the trust of deeply technical audiences. Turn what you hear into crisp use cases and shipped changes, not survey decks.
• Work in a new way: AI has collapsed the distance between idea and working artifact, and we expect you to live in that collapsed space. Prototype directly in modern AI tooling (Cursor, Claude Code, v0, similar), wire up workflows, and put working artifacts in front of users in days, not sprints. The running prototype is the spec.
• Bring taste: when execution is cheap, judgment is the bottleneck. Know what a great developer tool feels like, hold a high bar for evidence quality and workflow fit, and be willing to say no to features that would make the product bigger but worse.
• Translate deep tech into value: partner daily with the engineering team to turn LLVM/IR, knowledge-graph, and agentic research spikes into scoped, testable features that engineers actually adopt.
• Own the evaluation loop: define what “good” looks like for a non-deterministic system (signal quality, triage usefulness, false‑positive rate, evidence quality, reviewer confidence) and stand up the eval harnesses to…