[Hiring] Lead Product Manager, AI & Intelligence Platform @SafelyYou

Role Description

SafelyYou's AI+Human-In_Loop solutions (fall detection, mobility, severity tagging, presence, and change detection) powers every product we sell. You own the AI capability roadmap as a platform: the reusable models and signals our customer-facing teams turn into outcomes, and the path by which research becomes production value. You'll ship existing models into production in short cycles, help place a few longer research bets, and keep SafelyYou ahead as AI techniques change fast. AI research leadership sets research direction and customer-facing PMs own customer outcomes; you own what the AI can do, how well, and at what cost.

Key Responsibilities

• The Numbers You'll Own
  • Readiness: Every model release passes an AI-readiness gate (accuracy, false alarms, review cost, rollback) within the next year.
  • Quality and cost: A measurable reduction in false alarms with no loss in detection.
  • Leverage: At least one capability reused by two or more product teams, and one research bet taken to a clear continue-or-stop decision.
• What You'll Own
  • One capability roadmap across edge and cloud, ranked by cross-team leverage.
  • How AI is consumed: outputs, confidence thresholds, and latency and accuracy expectations.
  • Model readiness and field performance: criteria from research to shadow deployment to production, then precision, recall, and drift in live communities.
  • Human review economics: a feedback loop with our clinical reviewers that improves models and reduces review per event.
  • Research to value: early-learning milestones for 6–12 month bets, plus data priorities (curation, edge cases, labeling).
  • Emerging AI: track how newer techniques (vision-language and multimodal models, agentic systems, efficient on-device models) change what's possible, and turn the right ones into SafelyYou capabilities, such as richer event understanding and less human review.
  • New sensing modalities with Hardware & Sensing: you own what models can extract; they own modality selection and cost.

Qualifications

• 7+ years of product management, including 3+ years leading ML or computer vision products you've taken to production and operated at scale.
• Fluency in modern AI/ML (computer vision, multimodal and vision-language models, evaluation), credible with researchers and ML engineers.
• Well versed in how newer AI techniques have emerged, from foundation and vision-language models to agentic systems and efficient on-device models.
• Experience deploying models under real-world constraints, such as on-device compute and latency versus accuracy.
• Evidence-driven: you design evaluations, run shadow deployments, and balance open-ended research with commercial commitments.

Requirements

• Strongly preferred: human-in-the-loop systems, non-optical sensing, or safety-critical AI in healthcare.

Benefits

• A mission-driven company culture
• Fully remote
• Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
• 401k Program
• Monthly Education, Well-being & WFH stipends
• Non-accrual PTO
• Growth Potential
• Company Retreats
• Medical & Family/Parental Leave