Sword Health

AI Product Manager (Portugal-based Remote/Hybrid)

Job Description

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.


What you’ll be doing:
  • 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.

    • What you need to have:
  • 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.

    • What we would love to see:
  • 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.

    • To ensure you feel good solving a big Human problem, we offer:
  • 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.

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