Github Product Manager Jobs in Kentucky (NOW HIRING)

Denver, CO Remote Reports to SVP, IR Labs

This role sits at a rare intersection: real code intelligence depth, real AI recency and 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 are 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 are ready to drive product, this role was written for you.

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 customers cannot imagine working without.

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. The product is live and paid, focused today on evidence-first risk analysis for systems C codebases 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 review comments: a systems verification platform that closes the gap where human-speed review is breaking down.

• Drive the Agentic SQA charter: partner with the SVP IR Labs on vision and strategy, then run the day to day. Shape the roadmap, sequence the work and ship thin slices fast. You own execution; big-call direction stays a shared decision.
• Land in a live, paid product and accelerate it: you arrive with real customers and a running funnel. 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, 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 engineering to turn LLVM and 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 measure it. Tie model and product metrics to user and revenue outcomes.
• Prioritize across horizons: balance quick wins in the current workflow with longer bets in expanded bug class coverage, retrieval grounding, guardrails and the broader verification direction.
• Launch and iterate: drive trials, docs and release notes; validate product-market fit and feed rapid iteration loops; own the path from first paying customers to durable adoption.
• Hold the positioning: keep us honest about what Agentic SQA is (a staged, reviewable, evidence-first system) and what it is not yet (a one-click autonomous code fixer). Sharpen our differentiation across detection, diagnosis and verification.
• Guard cost and safety: enforce token and compute budgets, sandboxing of analyzed code, secrets hygiene and guardrails against prompt injection. Partner on compliance, customer source-code confidentiality and reliability SLOs.
• Drive GTM: shape pricing and packaging, product-led onboarding and collateral. Support sales, community and exec storytelling.

• Domain expertise in code intelligence: you have lived in static analysis, program analysis, SAST, fuzzing, verification or compiler-adjacent products, ideally with deep systems-code intuition. You might have built product at places like GitHub (CodeQL and Advanced Security), Snyk, SonarSource, Semgrep, Code Intelligence or Mayhem, or in the safety-critical tooling world, or built the analysis engines yourself.
• Experience building real AI products: you have shipped LLM-powered or agentic products to production, not just demos. You understand how these systems actually behave: non-determinism, evals, regressions, cost and latency tradeoffs, guardrails.
• A creative mindset for a new way of working: fluent enough with modern AI coding tools to prototype workflows, wire up agents, write small scripts and ship working artifacts yourself. You treat AI as leverage, invent your own workflows and do not wait for permission. "Write the spec and wait" is not the job.
• Taste: strong, defensible opinions about what makes a developer tool great. You can tell the difference between a feature that demos well and one that survives daily use, and you know which details are worth fighting for.
• You can actually talk to users: a track record of real discovery with technical audiences. Engineers respect you, open up to you and tell you the truth. You convert conversations into product decisions.
• Proven 0 to 1 execution: shipped technical products from blank page to first paying customers. Built backlogs, dashboards, evals and working artifacts, not just decks. 5+ years in product management or equivalent product leadership from an engineering or founder path.
• Metrics and evaluation discipline: cohort analyses, experiment design and evaluation suites that tie model performance to user and revenue outcomes, and that you have actually used to make scope and shipping decisions.
• GTM and monetization sense: experience with pricing and packaging, product-led funnels and unit economics. Can run data-backed experiments.
• Leadership and influence: can brief execs, align engineering and tell a clear story to customers and the community. Comfortable operating where the SVP holds final call on big-direction decisions.
• Startup mentality: bias for action, comfort with ambiguity and willingness to do the unglamorous work to move the needle.

Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply even if you do not check every box, especially if your path ran through security research, compiler engineering or founding a devtools company rather than a product title.

High impact: ship real features in weeks, not quarters.

Cutting-edge tech: work to solve problems no one has cracked before.

Remote and flexible: work from anywhere with a culture built on trust, autonomy and balance.

Growth and ownership: own features end to end, learn rapidly and grow with the company as we scale.

Top-tier compensation: competitive salary, performance bonuses, equity upside and strong benefits.

Team and culture: a small senior team that values collaboration, creativity and building something meaningful together.

401k with Employer Contributions

Health Savings Account (HSA) Contributions with High Deductible Health Plan

Short-Term/Long-Term Disability Insurance

At IR we celebrate, support and thrive on difference for the benefit of our employees, our products and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status or disability status.