Senior AI Product Manager

Summary

Join Sword Health's AI team and help build a pain-free world powered by AI! As an AI Product Manager, you will influence the team's roadmap, partner with stakeholders to scope ML initiatives, support execution and iteration with various teams, and be the face of ML solutions at Sword. You will deep-dive into specific topics to ensure AI compatibility and act as an enabler, identifying and addressing risks. This role requires 5+ years of experience as a Product Manager of a highly technical AI-powered product and solid experience in production-grade MLE/DS projects. Sword offers a stimulating, fast-paced environment, career development, competitive salary, flexible hours, unlimited vacation, access to a health and well-being program, and a remote or hybrid work policy. Compensation is competitive and adjusted based on performance. The position requires a valid EU visa and is based in Portugal; relocation assistance is not offered.

Requirements

• 5+ years of experience as a Product Manager of a highly technical AI-powered product
• Solid 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
• Impeccable oral and written communication skills, wielded often as tools for alignment-seeking and problem distillation
• Strong 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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
• 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