Innovative AI Product Lead
1 dia atrás
Sword Health, Inc is a pioneering digital musculoskeletal care provider on a mission to free two billion people from physical pain. With a strong presence in the Fortune 100 and 500 companies, Sword has successfully created personalized physical therapy programs accessible worldwide.
Salary & Benefits
We offer a competitive salary range of $150,000 - $250,000 per year, depending on experience, plus benefits including access to our health and well-being program and flexible remote work policy.
Job Description
This role 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 through AI-powered clinician and member experiences that amplify the human touch.
Responsibilities:
• Influence the team's roadmap by proactively identifying opportunities for high-impact ML initiatives;
• Partner 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 ensure requirements are met, scope is adjusted as new information comes in, and development does not drift away from high-value product experiences;
Requirements:
• 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;
• Ability to exercise sound judgment over ML/DS topics and understand the nuanced implications in the downstream product experience;
Bonus Points:
• Experience working in a fast-paced environment wearing different hats;
• Familiarity with BigQuery and Looker for business and product analytics;
• Experience with the Python data stack;
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