Product Lead (AI)

Location: Hybrid in San Francisco; must be located in San Francisco or willing to relocate to San Francisco

Salary: $250,000–$290,000 annually, plus equity

Company

hirify.global is a healthcare technology company founded in 2018 that uses generative AI to transform clinical conversations into structured documentation and support clinical workflows.

What you will do

• Set product strategy for hirify.global's foundation-model family, balancing capability, quality, latency, cost, safety, and controllability.
• Define hypotheses, milestones, decision gates, and success metrics for moving models from research experiments to shadow mode and production.
• Turn de-identified clinical conversations, final notes, clinician edits, EHR context, and care actions into training and feedback advantages.
• Create frameworks for selecting frontier APIs, open-source models, prompted workflows, or hirify.global-trained models.
• Partner with Evals and product teams to define promotion criteria, failure modes, training priorities, and measurable user and business outcomes.
• Align ML Science, ML Engineering, Product Engineering, Clinical Science, Data, Evals, and product pods around priorities and delivery.

Requirements

• 7+ years of product management or closely related experience, including substantial ownership of ML-powered products, model platforms, or AI infrastructure.
• Experience turning ambiguous technical capabilities into shipped products and measurable user or business outcomes.
• Working knowledge of data strategy, fine-tuning, preference optimization, evaluation, inference, experimentation, and production monitoring.
• Technical judgment across training objectives, reward design, data quality, model selection, scaling, latency, and serving cost.
• Strong product judgment, cross-functional leadership, decision-making, and written and verbal communication skills.
• High standards for evidence, safety, trust, escalation, abstention, and human-review paths in clinical AI.

Nice to have

• Experience with LLM post-training, reinforcement learning, preference optimization, distillation, model routing, or domain-adaptive pretraining.
• Experience managing portfolios spanning frontier APIs, open-source models, and in-house models.
• Experience with human-feedback or expert-annotation systems.
• Experience shipping AI in healthcare, life sciences, or another safety-critical and regulated domain.
• Experience with clinical documentation, medical reasoning, agentic workflows, longitudinal context, or high-compute research bets.

Culture & Benefits

• Fast-paced, high-growth startup environment with an emphasis on extreme ownership, empathy, and measurable impact.
• Flexible work hours, inclusive culture, and ongoing learning opportunities.
• Medical, dental, and vision coverage for full-time employees and their families.
• Paid holidays, flexible PTO, paid parental leave, family-forming benefits, and sabbatical leave after five years.
• 401(k) matching, HSA contributions, FSA and commuter benefits, personal device allowance, lifestyle wallet, and mental health support.
• Competitive compensation and equity grants for full-time employees.