Staff AI Product Manager, Phoenix Platform

🔥 4 minutes ago

🇵🇹 Portugal – Remote

💵 €59.5k - €93.5k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 0%

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Sword Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

Healthcare • SaaS • Artificial Intelligence

Sword Health is a digital health company offering an AI Care platform that combines artificial intelligence with licensed clinicians to provide virtual care primarily for musculoskeletal (MSK) pain, women's health, cardiometabolic health, and mental health. Their platform includes AI-driven digital physical therapy for pain (Thrive), women's health program (Bloom), cardiometabolic program (Pulse), mental health support (Mind), and Predict, an AI engine to identify members at high risk for avoidable surgeries. Sword sells to employers, health plans, unions, consultants & brokers, and individuals, focusing on measurable cost savings, surgical avoidance, and improved clinical outcomes. They emphasize security, privacy, and clinical evidence with peer-reviewed studies and validated ROI.

📋 Description

• Own Sword’s Applied AI platform roadmap, from strategic initiatives and innovation bets through to platform upkeep • Work at the intersection of AI and product management with agents, evaluations, harnesses, and observability • Own trade-offs involving cost, latency, quality, open-source models, and in-house development • Scope initiatives with Engineering, AI, and Product teams while balancing reusability with differentiation • Execute closely with Engineering, Product, Clinical, and Operations teams to keep scope aligned with high-value member experiences • Maintain the post-release quality bar and address model degradation in production • Own safety with the clinical team, including prevention, detection, and response to agent errors

🎯 Requirements

• 5+ years in product management, including recent hands-on ownership of an AI-powered product • Significant technical depth in AI, particularly generative AI; understanding of models, prompting, retrieval, and agent architectures • Experience putting LLM-based features in front of real users, including evaluation, annotation, observability, and failure-mode handling • Ability to participate in AI or engineering discussions and connect technical decisions to member experience • Ability to track the state of the art and bring innovation using sound product and technical judgment • Clear written and verbal communication • Proficiency using coding agents for debugging, data analysis, production monitoring, small builds, tooling, research, and process automation • Ability to manage and grow a small product team • Demonstrated AI proficiency at least at Explorer (Level 1)

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