AI Product Manager

Sword Health is on a mission to free two billion people from pain. 

With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25,000+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.

Recognized as a Forbes Best Startup Employer in 2025, this award highlights our focus on being a destination for the best and brightest  talent. Not only have we experienced unprecedented growth since our market debut in 2020,  but we’ve also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $3 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our global impact. 

Joining Sword means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.

This is an opportunity for you to make a significant difference on a massive scale as you work alongside 900+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by AI, enhanced by people — accessible to all.

The AI Team

Sword’s AI team sits at the intersection of productized Machine Learning (ML) and software development, working across the Sword platform to enable its ultimate vision of AI Care: unprecedented levels of care, both in scale and quality, through AI-powered clinician and member experiences that "🔊 amplify the human touch".

Examples of this are projects like “Phoenix” and all the decision support systems that empower our Physical Therapists to provide world-class care to our members.

• Influencing the team’s roadmap by proactively identifying opportunities across Sword for high-impact ML initiatives;
• Partnering with technical and non-technical stakeholders to properly scope those initiatives, by deep-diving into the underlying pain points, assessing the adequacy of ML solutions, defining requirements, and laying out high-level approaches;
• Support execution & iteration by working with other teams (Engineering, Product, Clinical, Operations) in tight feedback loops to make sure requirements are met, scope is adjusted as new information comes in, and development does not drift away from high-value product experiences;
• Being the face of ML solutions at Sword: preparing releases, communicating changes, collecting feedback from end users; and acting as the first layer of troubleshooting;
• Deep-diving into specific topics across Sword both to guarantee AI compatibility and to bring relevant business/technical context to the team;
• Acting as an enabler: preemptively identify and address risks, ambiguities, future needs, and blindspots; find balanced solutions for unexpected blockers.

• 2+ years of experience as a Data Scientist (DS) and/or Machine Learning Engineer and exposure/interest in Product OR 2+ years of experience as Product Owner/Technical Product Manager/Product Manager of a highly technical AI-powered product;
• Working knowledge of SQL;
• Experience in production-grade MLE/DS projects from ideation to maintenance (proof-of-concept, iteration, release and monitoring);
• Ability to exercise sound judgment over ML/DS topics and understand the nuanced implications in the downstream product experience;
• A good zoom dial: move between the problem and solution spaces as needed, interfacing with both non-technical (physical therapists, business decision-makers) and technical (MLE/DS, tech leads) stakeholders through adequate, timely communication;
• Good oral and written communication skills, wielded often as tools for alignment-seeking and problem distillation;
• Critical thinking: strategically disagree upwards or with peers as necessary;
• Autonomy & self-direction: aware of the team’s direction, prioritize accordingly with limited supervision even when faced with ambiguity;
• A natural curiosity and intuition over both old and new AI techniques and the product/business problems they can address.

• Have experience working in a fast-paced environment wearing different hats, acting scrappy when the situation calls for it;
• Have experience with BigQuery and Looker for business and product analytics;
• Have experience with the Python data stack;
• Get itchy with suboptimal processes and can’t help but propose improved versions.

• A stimulating, fast-paced environment with lots of room for creativity;
• A bright future at a promising high-tech startup company;
• Career development and growth, with a competitive salary;
• The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
• A flexible environment where you can control your hours (remotely) with unlimited vacation;
• Access to our health and well-being program (digital therapist sessions);
• Remote or Hybrid work policy: We have offices in Porto and Lisbon, so if you want to have face-to-face contact you can always work from there.

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

• English class

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, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) 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.