Staff AI Product Manager, Phoenix Platform
Sword Health · Portugal
What the posting says
Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there
- PayStated
- EUR 59,500–EUR 93,500 a year
- Employment typeStated
- Full time
- Work arrangementStated
- Remote OK
- ExperienceStated
- 5-10 years
Not mentioned in this posting
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- ShiftNot mentioned
- The posting does not say
- EducationNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- Product managementrequired
5+ years in product management
from the posting - AI-powered product ownershiprequired
including recent hands-on ownership of an AI-powered product
from the posting - Technical depth in AI and generative AIrequired
Significant technical depth in AI, generative AI in particular
from the posting - LLM models and promptingrequired
You understand how models, prompting, retrieval, and agent architectures actually behave
from the posting - Technical discussion and decision-makingrequired
You can hold your own in an AI or engineering discussion, and follow a nuanced technical decision through
from the posting - Clear writing and speakingrequired
You write and speak clearly enough to cut through noise
from the posting - AI coding agentsrequired
You get real leverage out of coding agents: debugging, data analysis, production monitoring
from the posting - Product team managementrequired
You can manage and grow a small product team
from the posting
Read the full posting as the employer wrote it
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.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
AI Proficiency at Sword
AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
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Explorer (Level 1) — Uses AI daily to boost personal productivity
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Builder (Level 2) — Creates workflows and tools that elevate the whole team
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Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
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.
This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact.
Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.