Sr. Staff Technical Product Manager, Life Sciences

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. They are seeking a seasoned Product Manager to accelerate productization of scientific innovations and drive product-led growth in their AI Simulation division.

Responsibilities:

• Own Product Strategy & Definition - Work backwards from customer needs (as opposed to working forward from a specific technology) and drive clear, compelling product vision and definition as articulated via PRFAQs, Product Requirement Docs (PRDs), Pricing and Naming artifacts.Partner with UX to jointly define key user flows and influence overall product design
• Rapid Concept Prototyping and Validation - Drive rapid, tangible experimentation by building and showing demos early and often, both internally and externally, to validate core hypotheses against real-world behavior and avoid misalignment
• Plan the Work; Work the Plan - Own the 12-18 month strategic roadmap and its delivery with Engineering, R&D, and Design, manage the backlog for continuous improvement, and coordinate all product launch activities and collateral with Marketing and Legal
• Establish Product Market Fit (PMF) - Prove and validate Product Market Fit (PMF) by partnering closely with design partners and lighthouse customers, working closely with them during definition and validation phases like PRFAQ authoring and running private betas
• GTM scaling - Partner with Sales and Marketing to create collateral and training, inform revenue goals, monitor KPIs (like win rates), and review customer tickets to identify product insights and address defects

Requirements:

• PhD in Computational Chemistry, Computational Biology or Biomedical Engineering
• 5+ years of experience in a life sciences-focused software business across roles such as Technical Product Manager, Solutions Architect, Sales Engineer, or related technical customer-facing product roles. Candidates should have a track record of shaping software products, working closely with customers, and translating scientific and technical user needs into clear product direction
• 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, especially biopharma R&D workflows such as target identification, biomarker discovery, hit finding, lead optimization, preclinical development, translational science, and clinical evidence generation
• Ability to translate scientific user needs from researchers, clinicians, translational teams, medical affairs, and data scientists into product requirements without oversimplifying the science
• Ability to work in ambiguous, fast-moving environments and convert unclear customer problems into scalable product solutions
• Hands-on product leadership for AI/ML platforms or applications, including model-backed APIs, copilots, agentic workflows, or decision-support products
• Fluency in the AI product stack: model selection, inference, fine-tuning, retrieval, evaluation, prompt / agent design, human-in-the-loop workflows, observability, safety, and cost-performance trade-offs
• 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
• Fluency in life sciences data types and constraints, including omics, imaging, assay data, real-world data, EHR/claims, literature, and knowledge graphs, plus data quality, provenance, and interoperability considerations
• MBA