AI Product Lead
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Business
Product Manager, AI Business & Operations
Job Description & How to Apply Below
Lead Halcyra's AI product portfolio across clinical documentation, triage and patient messaging. You will manage a team of product managers, set the AI product strategy, and own the ship, narrow or pull decisions for model-backed features against a published reliability budget.
Health Insurance
Medical, dental and vision; 100% employee premium covered.
Equity
Meaningful stock options, 4-year vest with 1-year cliff.
Flexible Work
Hybrid: 3 days a week in the Boston office or on-site with customers.
Paid Time Off
Learning & Budget
$3,000 annual learning and conference budget.
Retirement Plan
401(k) with 4% company match.
- 01 Set AI product strategy and portfolio priorities with the CPO.
- 02 Hire, coach and lead a team of AI product managers.
- 03 Own launch gates and reliability budgets for every model-backed surface.
- 04 Keep the team close to clinicians' real workflows through regular field time.
- 05 Partner with ML, design and clinical safety to ship and to pull features on evidence.
Must have
- Has cut or reprioritised a visible initiative and can defend the call.
- Has set a portfolio strategy with explicit trade-offs.
Nice to have
- Reversed an earlier call on new evidence.
Must have
- Has made a ship / hold / narrow decision on accuracy or failure-rate data.
Nice to have
- Fluent in evaluation vocabulary without over claiming.
Must have
- Has spent time in the user's environment and changed the roadmap because of it.
Nice to have
- Healthcare or regulated-workflow experience.
Must have
- Has run an evaluation or experiment that produced a null or negative result and acted on it.
Nice to have
- Introduced a reliability budget or launch gate.
Must have
- Has managed and grown a team of product managers.
- Has resolved a cross-functional deadlock that led to a shipped outcome.
Nice to have
- Works directly with clinical safety or compliance.
Product org of 6 PMs paired with ML, design and a clinical safety officer.
Shared ownership of launch gates between product, ML and clinical safety.
Decision MakingEvidence-led; every AI launch passes a reliability budget review.
Documentation CultureOne-page decision records for every ship / narrow / pull call.
OwnershipPods own a customer deployment end to end, from discovery to go-live.
Customer ObsessionEngineers spend real time inside hospital workflows, not just in meetings.
TransparencyEvaluation results, including failures, are shared with customers.
Learning CultureMonthly clinical-AI reading group and a generous learning budget.
First 30 daysReview every live AI surface against its reliability budget and shadow clinicians in two settings.
90 daysMake and communicate a ship / narrow / pull decision on one live feature using evaluation evidence.
OutcomesA product org whose AI roadmap is trusted by clinicians and defensible in specifics.
04 Team dynamics Team StructureProduct org of 6 PMs paired with ML, design and a clinical safety officer.
Shared ownership of launch gates between product, ML and clinical safety.
Decision MakingEvidence-led; every AI launch passes a reliability budget review.
Documentation CultureOne-page decision records for every ship / narrow / pull call.
OwnershipPods own a customer deployment end to end, from discovery to go-live.
Customer ObsessionEngineers spend real time inside hospital workflows, not just in meetings.
TransparencyEvaluation results, including failures, are shared with customers.
Learning CultureMonthly clinical-AI reading group and a generous learning budget.
05 Company culture OwnershipPods own a customer deployment end to end, from discovery to go-live.
Customer ObsessionEngineers spend real time inside hospital workflows, not just in meetings.
TransparencyEvaluation results, including failures, are shared with customers.
Learning CultureMonthly clinical-AI reading group and a generous learning budget.
06 What success looks like First 30 daysReview every live AI surface against its reliability budget and shadow clinicians in two settings.
90 daysMake and communicate a ship / narrow / pull decision on one live feature using evaluation evidence.
OutcomesA product org whose AI roadmap is trusted by clinicians and defensible in specifics.
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