Staff AI Product Manager, Phoenix Platform
Own the roadmap for Sword's AI platform, balancing innovation and quality in a fully remote role.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Own Sword’s Applied AI platform roadmap
- Work at the intersection of AI and product management
- Scope initiatives with Engineering, AI, and Product teams
- Execute by iterating closely with Engineering, Product, Clinical, Operations
- Own safety alongside the clinical team
Must have
- 5+ years in product management
- Significant technical depth in AI
- Experience with LLM-based features
- Ability to track the state of the art
- Strong communication skills
- Experience managing a small product team
AI in the day-to-day
AI fluency is a core expectation; candidates must demonstrate how AI is part of their work.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Joblaze summary
The Staff AI Product Manager for the Phoenix Platform at Sword Health is responsible for overseeing the roadmap of the Applied AI platform, ensuring that strategic initiatives align with high-quality member experiences. This role requires significant expertise in AI, particularly generative AI, as well as hands-on experience with AI-powered products and a strong technical background to navigate complex discussions. Ideal candidates will have over five years in product management and a proven ability to manage and grow a small product team. Sword Health is focused on redefining healthcare delivery through innovative AI solutions.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 11, 2026. Last confirmed on Sword Health's careers page October 27, 2026.
- Starts at or below all 149 comparable staff product roles we track (median $193,759 across 45 companies).
Quick facts
- Is the Staff AI Product Manager, Phoenix Platform role remote?
- Yes — Sword Health lists this as a fully remote position.
- What's the salary range?
- Sword Health lists €59,500–€93,500 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Staff AI Product Manager, Phoenix Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, AI/ML, Generative AI.
- What seniority level is this role?
- Sword Health targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff AI Product Manager, Phoenix Platform role at Sword Health.
From the original posting
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
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Explorer (Level 1) — Uses AI daily to boost personal productivity
By carefully designing and maintaining these blocks while driving AI innovation, the Phoenix Platform enables teams to ship fast and well without rework.
What you’ll be doing
- Own Sword’s Applied AI platform roadmap, from strategic initiatives and innovation bets through to platform upkeep;
- Work at the intersection of AI and product management, hands-on with the agents, evals, harnesses, and observability that our care products are built on;
- Own the trade-offs that shape the platform: cost, latency, quality, and when to move to open source models or bring something in-house;
- Scope initiatives with Engineering, AI, and Product teams, carefully balancing reusability with differentiation;
- Execute by iterating closely with Engineering, Product, Clinical, Operations to guarantee scope adapts and deliverables do not drift from high-value member experiences;
- Hold the quality bar, including after release. A model that degrades quietly in production is your problem;
- Own safety alongside our clinical team. Our agents talk to people about their bodies and their recovery, and you’ll know how we prevent, detect, and respond when they get something wrong.
What you need to have
- 5+ years in product management, including recent hands-on ownership of an AI-powered product;
- Significant technical depth in AI, generative AI in particular. You understand how models, prompting, retrieval, and agent architectures actually behave, not just what they’re supposed to do;
- You’ve put LLM-based features in front of real users and dealt with what came back: the evaluation, the annotation, the observability, the failure modes nobody predicted;
- You can hold your own in an AI or engineering discussion, and follow a nuanced technical decision through to what the member will actually experience;
- You disagree up and sideways. We expect pushback any time the member experience is being compromised, whatever the source;
- Ability to efficiently track the state of the art and, exercising sound product and technical taste, bring innovation;
- You write and speak clearly enough to cut through noise. At our size that’s a load-bearing skill, not a nice-to-have;
- You get real leverage out of coding agents: debugging, data analysis, production monitoring, small builds, one-off tooling, research, process automation. No slop;
- You can manage and grow a small product team.
*The range below reflects base, variable, and equity for this role.
Standard company text repeated across Sword Health's postings is omitted here.