Senior or Lead Product Manager, QuotaPath

• This is a great fit for someone with an entrepreneurial mindset—someone who wants many of the challenges (and growth curve) of building like a founder, with the advantage of doing it from a platform with real distribution, a real customer base, and a strong brand
• 6+ years of product management experience in B2B SaaS (or equivalent), with meaningful ownership over roadmap + outcomes
• Demonstrated ability to lead 0→1 and 1→n efforts (new products, new lines, major new surfaces)
• Strong technical fluency and comfort working closely with engineers on complex systems
• Hands-on familiarity with LLMs / generative AI product development (prompting patterns, evaluation, cost/latency tradeoffs, failure modes)
• High agency: you move work forward without waiting for permission, while keeping stakeholders aligned
• Excellent written communication: you can produce clear thinking, crisp decisions, and high-signal updates
• Independent and accountable: you take ownership of outcomes, not tasks
• Systems thinker: you can connect UX, data, model behavior, and business strategy
• Taste for product quality: you care about “is this helpful and trustworthy?” not just “did it ship?”
• Experimenter’s mindset: you run tight loops, learn fast, and update beliefs quickly
• Customer empathy + spine: you listen deeply, then make hard calls

Desirable

• We’re hiring a Senior / Lead Product Manager who will be accountable for the success of Atlas. This is a high-ownership role for someone who can take a product from “it works” to “it wins”: a clear point of view, a sharp roadmap, tight execution, and measurable customer + business outcomes
• You will operate with significant independence. You’ll be expected to set direction, drive alignment, and ship—while building strong partnerships across Engineering, Design, GTM, and Leadership
• Reports to: Chief Product Officer
• Own the product strategy, roadmap, and execution for Atlas (near-term delivery and longer-term bets)
• Define and maintain a crisp product narrative: ICP, jobs-to-be-done, value prop, differentiation, and “why now”
• Own the boundary between Atlas and core QuotaPath: what belongs in Atlas vs. platform/core, and how/when capabilities integrate or migrate
• Drive prioritization and tradeoffs across customer value, model/tech constraints, speed-to-learn, and revenue impact
• Lead experimentation with AI-native product development practices: rapid prototyping, evaluation loops, and short learning cycles
• Partner with Engineering to define how Atlas should measure and improve quality: user outcomes, product analytics, and LLM-specific evaluation signals
• Own unit economics for AI experiences: partner on cost-to-serve, pricing/packaging guardrails, and designing features that balance value, latency, and model cost
• Build “trust” into the experience: transparency, source grounding, failure modes, safe fallbacks, expectations-setting, and responsible handling of sensitive inputs (e.g., uploaded comp plans)
• Run continuous discovery with design partners, prospects, and customers (RevOps, Finance, CRO, sales leadership)
• Operationalize a design partner program: recruit, run a tight cadence, synthesize feedback, and turn learnings into roadmap + GTM assets
• Translate messy real-world comp problems into product workflows that feel inevitable
• Develop competitive awareness and positioning in the fast-moving AI + comp strategy landscape
• Lead the cross-functional team to ship daily (or as close to daily as possible), with clear scopes, milestones, and decision-making
• Be a key driver of GTM for Atlas: shape packaging and pricing, build the launch + enablement plan, and partner with Sales/CS/Marketing to iterate the pitch and motion based on what’s working in-market
• Operate as the “PMM” for Atlas (with AI leverage): own internal + external readiness, narrative, and enablement so Sales/CS/Support/Marketing are successful
• Build scalable documentation as infrastructure: ensure help docs are continuously generated/updated from the product/codebase, organized for human learning and AI retrieval, and integrated into the Atlas support model (e.g., Intercom/Fin or equivalent)
• Own key business outcomes (activation, retention, conversion, expansion, revenue) and define the metrics that matter
• Build a plan for scaling Atlas: product surface area, support model, docs/help content, and internal enablement
• Communicate progress and risks clearly—no surprises
• 30 days: Deep understanding of Atlas customers, current capabilities, and the biggest leverage points; clear near-term roadmap with rationale
• 60 days: Multiple shipped iterations that move key metrics; clear operating rhythm across product/eng/design; active design partner loop
• 90 days: Strong PMF signal clarity (what’s working, what’s not, why); tighter differentiation; improved reliability/trust; GTM ready to scale learnings
• 6 months: Atlas is measurably growing: activation, retention, and revenue are trending positively; roadmap is coherent; team is executing with speed and confidence

• Interview Signals (what we’ll probe for)
• How they think the product development lifecycle is evolving in an AI-native world (cadence, artifacts, decision-making, quality/evals, and cross-functional operating model)
• Ability to drive ambiguous 0→1 work with real customers
• Ability to define evaluation strategy for AI features (beyond “it seems good”)
• Strong product judgment under constraints (cost, latency, safety, reliability)
• Clear thinking, crisp communication, and bias to action
• Comfort being the single-threaded owner for a major initiative