Senior/Lead Product Manager - Atlas

QuotaPath is a company that helps revenue teams take ownership of financial goals through innovative compensation solutions. They are seeking a Senior/Lead Product Manager to own the product strategy and execution for their AI-powered compensation strategy product, Atlas, ensuring its success through collaboration and strong partnerships across various teams.

Responsibilities:

• Own Atlas end-to-end
• 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

Requirements:

• 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
• Experience building AI products where quality is probabilistic and requires explicit evaluation strategy
• Experience with analytics/experimentation frameworks and strong product instrumentation habits
• Familiarity with RevOps / Sales Comp / Finance workflows (or adjacent domains with complex, high-stakes decisioning)
• Experience partnering with Sales/CS on early GTM (including joining calls, piloting with design partners, and iterating on the pitch)
• Strong instincts around privacy/security for sensitive data (enterprise expectations, retention, permissions)
• Experience in high-growth startups (Series A–C) where speed and ambiguity are constant