Pearlyplan

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.

This listing is sourced directly from Pearlyplan's careers page and normalized into a canonical job model.