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Staff AI Product Manager, Phoenix Platform

Sword Health · Portugal

Health Tech
Remote
physician
Demand88
Career growth85
Healthcare fit42
Remote potential65
Salary band
EUR 60k – 94k
5-year outlook
Senior AI product management in digital health typically commands premium compensation with base, variable, and equity components; exact figures depend on location, level, and market conditions. Growth toward principal/group PM or AI platform leadership is plausible.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-19

Intelligence details

Flexible work details

Engagement type
Permanent
Hours
Full-time
Profession fit
physician
Rate period
Annual

Listing via Himalayas.

Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.

Why this is worth applying to

Worth applying only for clinicians who already have 5+ years of product management and recent hands-on LLM/AI product ownership; otherwise this is a stretch and not an entry transition.

Who should apply

Clinician-product managers with technical AI experience, especially those who have shipped LLM-based features in healthcare, care delivery, or clinical workflow products.

CV angle

Lead with product management ownership and AI platform outcomes; translate clinical background into clinical safety, clinician workflow, and member experience expertise. Quantify evals, observability, model trade-offs, cross-functional delivery, and any hands-on LLM product work without overstating experience.

Skills to highlight

  • AI product strategy
  • LLM evaluation and observability
  • Agent architectures
  • Platform roadmap ownership
  • Cross-functional leadership
  • Clinical safety and risk management
  • Data analysis and coding agents
  • Stakeholder communication

Role summary

Staff-level product manager owning Sword Health’s Applied AI Phoenix platform, including AI agents, evals, observability, model trade-offs, platform roadmap, and clinical safety for AI-powered care products.

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