Sr. Staff Technical Product Manager, Ai Sim (Life Sciences)

TL;DR

Sr. Staff Technical Product Manager, AI Sim (Life Sciences): Driving productization of scientific innovations and product-led growth for Large Quantitative Models (LQMs) in the AI Simulation division with an accent on translating scientific user needs into clear product requirements and validating Product Market Fit (PMF). Focus on rapid concept prototyping, cross-functional alignment, and partnering with Go-To-Market (GTM) teams to scale product adoption.

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

Salary: $159,200 – $306,000

Company

hirify.global is a high-growth company delivering AI solutions that address some of the world's greatest challenges, with Large Quantitative Models (LQMs) powering advances in life sciences, financial services, navigation, cybersecurity, and other 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.
• Own the 12-18 month strategic roadmap and manage the backlog for continuous improvement.
• Prove and validate Product Market Fit (PMF) by partnering closely with design partners and lighthouse customers.
• Partner with Sales and Marketing to create collateral and training, inform revenue goals, and monitor KPIs.

Requirements

• 5+ years as a Technical Product Manager / technical product leader in a Life Sciences focused software business.
• Experience taking Cloud/SaaS products from concept and definition through engineering design, launch, and 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, assay data, real-world data, EHR/claims, literature, and knowledge graphs.
• 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: model selection, inference, fine-tuning, retrieval, evaluation, prompt / agent design.
• Working knowledge of regulated and semi-regulated environments, including GxP, HIPAA, privacy, model governance, validation, auditability, and evidence requirements for scientific and healthcare use cases.
• MBA
• PhD in Computational Chemistry, Computational Biology or Biomedical Engineering

Culture & Benefits

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