Staff Technical Product Manager, Ai Sim (Life Sciences)

TL;DR

Staff Technical Product Manager, AI Sim (Life Sciences): Drives productization of scientific innovations and product-led growth for Large Quantitative Models (LQMs) in biopharma, chemicals, and healthcare with an accent on translating scientific user needs into clear product requirements. Focus on validating Product Market Fit (PMF) through design partners and scaling the product for adoption.

Location: Remote (United States). Tier 1 applies to candidates within 75 miles of San Francisco, Los Angeles, Seattle, New York, Boston, and Washington, DC. Tier 2 applies to all other locations in the US.

Salary: $134K – $258K

Company

hirify.global is a high-growth company delivering AI solutions that address some of the world's greatest challenges, focusing on Large Quantitative Models (LQMs) to power advances across various sectors.

What you will do

• Own product strategy and definition, driving clear product vision and definition based on customer needs.
• Drive rapid experimentation by building and showing demos to validate core hypotheses.
• Manage the strategic roadmap and backlog, coordinating product launch activities.
• Establish Product Market Fit (PMF) by partnering with design partners and lighthouse customers.
• Partner with Sales and Marketing to create collateral and training, informing revenue goals and monitoring KPIs.

Requirements

• 5+ years as a Technical Product Manager in a Life Sciences focused software business.
• Experience taking Cloud/SaaS products from concept to go-to-market.
• Deep understanding of the life sciences value chain and biopharma R&D workflows.
• Fluency in life sciences data types and constraints, including omics, imaging, and real-world data.
• Ability to translate scientific user needs into product requirements without oversimplifying the science.
• Ability to work in ambiguous, fast-moving environments and convert unclear customer problems into scalable product solutions.

Nice to have

• Hands-on product leadership for AI/ML platforms or applications.
• Fluency in the AI product stack, including model selection, inference, and prompt design.
• Working knowledge of regulated environments, including GxP, HIPAA, and privacy.
• MBA.
• PhD in Computational Chemistry, Computational Biology, or Biomedical Engineering.

Culture & Benefits

• Competitive base salary, performance-based incentives, and equity participation.
• Comprehensive medical, dental, and vision coverage with generous employer premium contributions.
• Retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Fully remote work environment with flexible paid time off and company-wide seasonal breaks.
• Support for flexible work arrangements that enable sustainable performance.
• Opportunities for continuous learning and growth through on-the-job development and cross-functional collaboration.