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 Musculoskeletal, 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 1 million members across three continents have completed over 15 million AI sessions, helping 2,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 59 clinical studies, 43 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.
The platform
The Phoenix platform is the continuous, connected intelligence layer that makes Sword’s AI Care solutions come alive. It provides the building blocks across member experience, clinician efficiency, and customer support for Sword’s products to ship integrated, delightful, and differentiated care.
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 do:
- 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 we’re looking for:
- 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.
Bonus points:
- Memory, guardrails, or multi-agent orchestration;
- Voice AI experiences shipped to production;
- Experimentation or evaluation infrastructure you built rather than inherited (A/B testing, evals, human annotation);
- Working knowledge of how foundation models are trained and deployed;
- Healthcare, or another regulated domain where being wrong has consequences.
*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
Portugal - Sword Benefits & Perks:
• Health, dental and vision insurance
• Meal allowance
• Equity shares
• Remote work allowance
• Flexible working hours
• Work from home
• Discretionary vacation
• Snacks and beverages
Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
