Senior AI Product Manager

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.

We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.

Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.

ABOUT NOTABLE

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve care quality, close gaps in patient care, and drive patient acquisition, retention, and reimbursement — scaling growth without hiring more staff.

We're on a mission to improve healthcare for humanity, and our aim to impact 100 million patients isn't just a number. Our culture is purposeful in pursuit of it: everyone here gets the opportunity to do the best work of their lives, alongside the best teammates, and have fun achieving great things together.

WHY NOTABLE

Healthcare AI is crowded with companies that automate one workflow well. Notable is the platform underneath all of them — here's what that means for you.

- You'll build on nine years of earned trust. We've been delivering real outcomes in healthcare since before this was a category. You'll walk into rooms with executives who already believe us, and spend your time on hard product problems instead of re-litigating whether AI belongs.

- You'll have the deepest library of proven AI workflows in healthcare to build on. Registration and intake, referral management, care gap outreach, prior authorization, contact center, denials — live and producing outcomes today. Whatever you ship compounds on top of all of it.

- You'll help re-skill a generation of healthcare workers. Health systems' own teams build and ship AI agents on Notable — we're turning schedulers, analysts, and operations leads into people who deploy AI systems for a living, a career path nobody else in healthcare is offering them.

- You'll work with genuinely modern tooling. Flow AI brings the Claude Code and Codex UX to healthcare workflows, backed by our own MCP server. Describe what you want and steer an agent to discover, build, and monitor flows — instead of painfully wiring up every step by hand.

- You'll own an area, not a backlog. Our PM team is intentionally lean and stays that way by design. You’ll own a major surface of the product end to end, set its direction, and carry the outcome. There are no feature PMs here.

WHAT YOU'LL DO

Today, the executives and operators who sponsor and run Notable's workflows can't easily see what's live, what it's delivering, or what they should do next. There is no product there yet. You'll define it from a blank page — the first hypotheses, the intelligence layer underneath, and the growth motion it unlocks.

- Set the strategy from scratch. Your users are the COOs, VPs of patient access, revenue cycle leaders, and contact center directors who sponsor Notable and live with the results. You decide what they need to see, understand, and act on — and you own the surface where they do it. Think rapid experimentation and hypothesis-driven approach.

- Be in the room. This role is customer-facing by design, and customers are your primary instrument for testing what you believe. You'll sit with executive sponsors and operators, build real relationships with the people running these operations, and turn what you hear directly into the next experiment. If you want to build from a backlog, this isn't the job.

- Make the complex easy. Build experiences that pull non-technical operators in and make them stick. Easy onboarding, clear next steps, and a product that makes people feel capable instead of confused — aimed at people whose day job is running a clinic's front desk, not evaluating software.

- Define the proactive intelligence layer. Notable already sees outcomes, transcripts, extractions, failure modes, and cost per run across every customer. Turning that into agents that tell an operator something true, useful, and safe to act on — without leaking data between tenants — is almost entirely undefined. You'll shape that knowledge base and the agents on top of it alongside the agentic platform team, starting from first principles.

- Invent the product-led growth motion. Partner deeply with Customer Success and GTM to turn usage and outcomes into expansion. Instrument it, run experiments, and growth-hack your way from a services-led motion to a self-serve one.

WHAT SUCCESS LOOKS LIKE

Because this is a 0 → 1, early success is measured in learning velocity and late success is measured in dollars. Both count.

- You carry a number: expansion-driven utilization growth across the deployed base.

- Executives and operators log into Notable on their own — because it tells them something they can't get anywhere else.

- Expansion conversations start in the product, not in a quarterly business review deck.

- Customer maturity runs as product, not as a spreadsheet and a CSM's calendar.

WHAT WE'RE LOOKING FOR

- 5+ years building products for operators who own business outcomes, including at least one thing you took from nothing to something real. You've owned a surface where non-technical users go to understand what's happening and decide what to do about it.

- You're hypothesis-driven by instinct, not by process. You state what you believe before you build, you know what evidence would falsify it, and you've changed your mind in public more than once. You can tell us about a bet you killed and why that was the right call.

- You prototype rather than specify. Your default response to an unresolved question is to build a rough version of the answer and put it in front of someone this week. You're fluent enough with modern AI tooling that this is a matter of hours, not a request to engineering.

- Consumer-grade craft on a B2B product. B2B bones, consumer mindset. This is enterprise software with everything that implies — multi-tenant, permissioned, audited, sold to a health system, rolled out to hundreds of staff who didn't choose it. None of that excuses how it feels to use. You hold enterprise software to the standard of a product people pick up on their own, and you make complex technical systems feel effortless to someone who didn't build them and doesn't want to think about how they work.

- You want to be in front of customers. You build relationships with executives, you're energized by the room rather than drained by it, and you'd rather hear it firsthand than read someone else's summary.

- Technical range in both directions. You can hold your own in an architecture debate with staff engineers, then explain the tradeoff and its impact to a non-technical executive in two sentences. Both halves matter equally.

- A bias toward getting it done. You move through ambiguity using judgment and evidence rather than waiting for a complete brief, and you'd rather ship something real and learn from it than write another doc.

BONUS POINTS

- Healthcare industry experience, especially with operational staff as end users

- Product-led growth experience in an enterprise or vertical SaaS context

- Experience with outcome measurement, benchmarking, ROI/value realization, customer health, or executive business review workflows

- Comfort reasoning about usage metering and unit economics (m3ter, Metronome, Orb, Stripe Billing)

- Product analytics and instrumentation background

#LI-TD1

We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.

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