AI Technical Product Manager (Portugal-based Remote/Hybrid)

Who we are:Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.       The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone. This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.    We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.  



The AI team
Sword’s AI team has two main verticals:- Machine Learning Engineering (MLE) sits at the intersection of productized Machine Learning and software development, enabling Sword’s mission of treating billions of people with high clinical effectiveness. -e.g., a decision support system for clinical prescription management and, a ranking system to direct attention to members requiring assistance.
- Data Science (DS) sits at the intersection of statistics and machine learning, advising different teams across Sword on complex, nuanced product/business questions, towards data-driven and patient-centered decision-making. -e.g. which engagement touchpoints drive better clinical outcomes?

What you’ll be doing:

• Influencing the team’s roadmap by proactively identifying opportunities across Sword for high-impact ML/DS 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/DS solutions, defining requirements, and laying out high-level approaches;
• Support execution & iteration by working with other teams (Engineering, Product) 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 DS/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.

Our ideal candidate has:

• 2+ years of experience as a Data Scientist 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 an