AI Product Lead

PathwaysX, Inc.; Boston (MA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health Insurance

Equity (stock options)

Flexible Work

Paid Time Off

Learning Budget

401(k) with company match

Job summary

Halcyra is seeking a senior AI product leader to oversee the product portfolio spanning clinical documentation, triage, and patient messaging. You will manage a team of product managers, set the AI strategy, and own ship, narrow, or pull decisions for model-backed features against a published reliability budget.

The role emphasizes field-time with clinicians, collaboration with ML, design, and clinical safety to ensure evidence-based releases, plus a strong focus on patient care workflows.

Qualifications

• Has led AI product strategy and portfolio prioritisation with clear trade-offs.
• Has coached and led a team of product managers.
• Has owned launch gates and reliability budgets for model-backed surfaces.
• Has hands-on experience with evaluating AI/clinical workflows.

Responsibilities

• Lead AI product portfolio across clinical documentation, triage and patient messaging.
• Manage a team of product managers and set AI product strategy.
• Own ship, narrow or pull decisions based on a published reliability budget.
• Keep team close to clinicians' real workflows via field time.
• Partner with ML, design and clinical safety to ship and to pull features on evidence.

Skills

Portfolio management

Team leadership

Product strategy

Decision making under evidence

Cross-functional collaboration

Tools

Clinical workflows

Job description

02 Responsibilities

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.

What we evaluate against.

Product Judgment & Prioritisation

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.

AI & Technical Fluency

Must have

• Has made a ship / hold / narrow decision on accuracy or failure-rate data.

Nice to have

• Fluent in evaluation vocabulary without overclaiming.

User & Workflow Insight

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.

Cross-Functional Product Delivery

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.

Team Structure

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 Making

Evidence-led; every AI launch passes a reliability budget review.

Documentation Culture

One-page decision records for every ship / narrow / pull call.

Ownership

Pods own a customer deployment end to end, from discovery to go-live.

Customer Obsession

Engineers spend real time inside hospital workflows, not just in meetings.

Transparency

Evaluation results, including failures, are shared with customers.

Learning Culture

Monthly clinical-AI reading group and a generous learning budget.

First 30 days

Review every live AI surface against its reliability budget and shadow clinicians in two settings.

90 days

Make and communicate a ship / narrow / pull decision on one live feature using evaluation evidence.

Outcomes

A product org whose AI roadmap is trusted by clinicians and defensible in specifics.

04 Team dynamics

Team Structure

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 Making

Evidence-led; every AI launch passes a reliability budget review.

Documentation Culture

One-page decision records for every ship / narrow / pull call.

Ownership

Pods own a customer deployment end to end, from discovery to go-live.

Customer Obsession

Engineers spend real time inside hospital workflows, not just in meetings.

Transparency

Evaluation results, including failures, are shared with customers.

Learning Culture

Monthly clinical-AI reading group and a generous learning budget.

05 Company culture

Ownership

Pods own a customer deployment end to end, from discovery to go-live.

Customer Obsession

Engineers spend real time inside hospital workflows, not just in meetings.

Transparency

Evaluation results, including failures, are shared with customers.

Learning Culture

Monthly clinical-AI reading group and a generous learning budget.

06 What success looks like

First 30 days

Review every live AI surface against its reliability budget and shadow clinicians in two settings.

90 days

Make and communicate a ship / narrow / pull decision on one live feature using evaluation evidence.

Outcomes

A product org whose AI roadmap is trusted by clinicians and defensible in specifics.