Pearlyplan
Staff Product Manager - AI (Data & Analytics)
Atlanta, GA · Staff+
H1B sponsorship available$180k-$210kDetected 9 days ago
SQLRESTLLMsAgentic AIA/B TestingProduct ManagementProduct StrategyCustomer SuccessLeadershipMentoring
About the role
- It's one of the highest-leverage surfaces we have, and customers are already asking for more of it.
- That foundation is where the role starts.
- Where it's going is an intelligence layer that doesn't just show a practice what happened, but anticipates what's next and increasingly acts on it for them.
Responsibilities
- This is financial intelligence that changes how a practice runs, not charts for their own sake.
- You'll operate independently on ambiguous, high-stakes problems, set direction the rest of the team builds against, and raise the bar for product craft by example.
- We are a team of high-talent, high-integrity people who genuinely enjoy the art of building and competing; honing our craft and getting better each day, both as individuals and as a team.
Requirements
- 7+ years in product management, including time owning a data, analytics, reporting, or BI product at a staff or equivalent senior-IC level, ideally at a high-growth B2B SaaS company.
- You can set direction and then define the schema, write the spec, and pressure-test the dashboard or the agent yourself.
- Hands-on experience with the modern data stack (warehouses, transformation, BI tooling) and a point of view on build-versus-buy.
- A track record taking a data or analytics capability from feature to revenue-generating product line.
Nice to have
- A rare strategy-plus-execution profile.
Compensation
- Competitive compensation. $180,000 - $210,000 salary plus equity and healthcare benefits.
Benefits
- With deep product-market fit and over 2,500 dental offices across DSOs, groups, and private practices on the platform, we're now looking for builders to help shepherd the next stage of growth.
- leveraging process, technology, and AI in smart, creative ways to accelerate growth and productivity across dental billing, payments, and engagement.
- turn an insight about an expiring benefit or an aging balance into a prioritized action, an outreach sequence, or a collection-agency handoff that happens with the right guardrails and the right human in the loop.
Company info
- useful, reliable, and trustworthy, with sound judgment about where it earns autonomy and where a human stays in control.
- We need someone as comfortable defining a multi-quarter AI roadmap in a leadership conversation as getting into the schema, the query, the dashboard spec, and the agent's evaluation harness the same afternoon.
- Data & Analytics is your home, but your influence won't stop there.
- With a lean product leadership bench, you'll help shape Pearly's overall product strategy and roadmap, and co-ideate and own features that cut across platform domains, including Payments and Integrations.
- Depth in data and AI is the mandate; operating at the altitude of the whole product is the level.
- If you want a tightly-scoped, stay-in-your-lane role, this isn't it.
- Customer-Facing Insights.
- Own the dashboards, reporting, and insights that help RCM leaders, finance leaders, operations leaders, and office managers make better decisions and run better workflows.
- Start by understanding the surface we have today, what customers rely on, and where it falls short, then turn raw payment, billing, and practice data into decision-grade views that serve a single-practice office manager and an enterprise DSO RCM team alike.
- The Intelligence Layer, Predictive to Agentic.
- Own the roadmap for the intelligence that sits on top of Pearly's data, and drive it across the full arc.
- Descriptive intelligence customers can trust today.
- You'll decide what earns autonomy, how we evaluate and trust it, and how we introduce it to customers so it feels like leverage, not risk.
Visa & Work Authorization
- We currently do not offer H1B sponsorship for this role.
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This listing is sourced directly from Pearlyplan's careers page and normalized into a canonical job model.