QuotaPath

• Lead end-to-end onboarding for our larger customers, including kick-off calls, account configuration, CRM integrations, and live training. • Conduct thorough data discovery and compensation plan mapping across multiple systems and data sources. • Act as a compensation process expert - educating customers on best practices for plan creation, modeling, and CRM structure. • Collaborate closely with Solutions Engineers and Account Managers to deliver a cohesive, best-in-class customer experience. • Navigate multi-stakeholder environments confidently, presenting solutions to VPs, Finance, and Revenue Operations leaders. • Identify and surface upsell opportunities in partnership with the Account Management team. • Gather and synthesize customer feedback to inform product improvements. • Contribute to refining and improving the onboarding process as we scale into more premium and complex customer segments.

Role Description 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. 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. 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. Location: Remote, US/CA Reports to: Chief Product Officer What You’ll Do - 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 - Build AI-native product loops (not just “PM + AI features”) - 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) - Deep customer discovery + market intelligence - 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 - Drive cross-functional execution - 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) - Operate like a GM for Atlas - 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 Qualifications - 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 Preferred - 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 Traits That Matter (especially for Atlas) - 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 What Success Looks Like - 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 Benefits - Medical, dental, and vision are covered at 90% for you and 50% for dependents, plus employer-paid life insurance and 401(k) contributions. - Flexible PTO: Half-day Fridays year-round, a full week for winter break, election day off, and the flexibility to recharge when you need it.

• Own adoption, renewal, and expansion outcomes for a defined book of SMB–midmarket customers, exceeding quarterly renewal and upsell quotas. • Drive proactive customer engagement, including: Regular cadence check-ins to ensure admin and end-user adoption, Value reinforcement throughout each customer lifecycle stage, Identify and win upsell opportunities through product usage insights, customer goals, and business changes. • Collaborate with CSMs to ensure smooth transition from onboarding to adoption. • Partner with Solutions, Support, and Product to resolve issues, improve workflows, and bring the customer voice back into the business. • Leverage customer data to identify adoption blockers and reinforce value. • Maintain accurate forecasting and account health documentation. • Thoughtfully use AI tools to reduce manual work and improve efficiency in routine account management tasks.

• Own outcomes for a larger, more complex book of business with midmarket/enterprise customers • Deliver consistent value reinforcement through: Strategic adoption cadences that drive admin and end-user adoption, Data-backed recommendations that tie adoption to business outcomes • Lead renewal negotiations and expansion motions, consistently achieving quarterly renewal and upsell quotas • Provide compensation strategy guidance, including plan design best practices, modeling considerations, and industry benchmarks • Identify and mitigate churn risks using data, usage trends, and customer conversations • Mentor Account Managers by sharing best practices, joining customer calls as needed, and participating in peer coaching • Partner cross-functionally with Product, Solutions, and Support to improve customer workflows and surface trends • Contribute to the development of adoption playbooks, process improvements, and scalable customer programs • Identify and implement AI-assisted improvements that streamline AM workflows and support more scalable customer management.