Lead Product Manager, AI & Intelligence Platform

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take charge of the AI capability roadmap as a platform spanning edge and cloud, prioritized for cross-team leverage.

• Deploy existing models into production rapidly and steer long-term research initiatives.

• Specify how AI should be utilized, encompassing outputs, confidence levels, latency, and accuracy expectations.

• Set model-readiness criteria from the research phase through shadow deployment to production.

• Manage field performance metrics, including precision, recall, and drift within live environments.

• Create a feedback mechanism with clinical reviewers to enhance models and minimize review time per event.

• Identify early-learning milestones for 6–12 month research initiatives and prioritize data aspects such as curation, edge cases, and labeling.

• Monitor emerging AI methodologies and integrate suitable advancements into SafelyYou's capabilities.

• Collaborate with the Hardware & Sensing team on new sensing techniques, ensuring models can extract necessary data while they handle modality selection and cost considerations.

• Oversee readiness, quality, cost, leverage, and decisions regarding research continuation or cessation.

⛳️ Requirements

• 7+ years of experience in product management.

• 3+ years of experience leading machine learning or computer vision products that have been brought to production and operated at scale.

• Proficient in contemporary AI/ML, including computer vision, multimodal and vision-language models, and their evaluation.

• Established credibility with researchers and ML engineers.

• Familiarity with advanced AI techniques, such as foundation models, vision-language models, agentic systems, and efficient on-device models.

• A well-defined perspective on the applicability of new AI techniques in care settings.

• Experience in deploying models under real-world constraints, including on-device computation and balancing latency with accuracy.

• Evidence-based approach: designing evaluations, conducting shadow deployments, and balancing exploratory research with commercial obligations.

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

• Must be based in the United States or Canada.

🏝️ Benefits

• A mission-driven company culture.

• Fully remote work environment.

• Competitive salary and comprehensive benefits.

• Fully covered employee premiums for Medical, Dental, and Vision insurance.

• 401k Program.

• Monthly stipends for Education, Well-being, and Work From Home expenses.

• Non-accrual Paid Time Off (PTO).

• Opportunities for growth.

• Company retreats.

• Medical and Family/Parental Leave.