Product Manager, Growth

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Our mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Our flagship product, Suki Assistant, uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with coding and answering questions, and delivers a 9X ROI in year 1.

Clinicians that use Suki already spend over 70% less time on administrative tasks — and we're striving to do even better. Come join us!

We are a user-driven company committed to making sure every pixel of our product is in service of doctors. We're a team of technologists, clinicians, and industry experts working together to push the limits on technology in medicine. We're confident enough to move fast and talented enough not to break things.

The opportunity

Suki grows through its product — and we need someone who can measure, understand, and improve that motion with rigor. We're looking for a Product Manager, Growth with strong analytical instincts to own how clinicians activate, engage, and retain within Suki. You'll define success metrics, build measurement frameworks, run experiments, and translate data into product decisions that move the needle on adoption.

This role sits at the intersection of product and analytics. You won't just look at dashboards — you'll build them, instrument the events that feed them, design the experiments that test your hypotheses, and use the results to ship better product. You'll partner closely with Engineering, Data, Customer Success, and Sales to close the loop between data and delivery.

What you'll own

Measurement and Funnel Analysis

• Define success metrics and build measurement frameworks for clinician activation, engagement, and retention — particularly in greenfield areas where metrics aren't yet established
• Conduct deep-dive funnel analyses to understand where clinicians drop off, what drives engagement, and what distinguishes power users from churned ones
• Build and maintain dashboards and self-service analytics tools that give the broader team visibility into funnel performance and product health
• Partner with Engineering to advocate for upstream instrumentation best practices — ensuring events are captured with consistent schemas and sufficient fidelity to answer growth questions

Experimentation

• Design and execute A/B tests and phased rollouts to measure the incremental impact of product changes on activation and retention
• Define guardrails and success/failure criteria for experiments before they run, not after