[Remote] Staff Technical Product Manager, Life Sciences

Note: The job is a remote job and is open to candidates in USA. 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, translating scientific user needs into clear product requirements and driving cross-functional alignment.ResponsibilitiesOwn 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 designRapid 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 misalignmentPlan 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 LegalEstablish 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 betasGTM 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 defectsSkillsPhD in Computational Chemistry, Computational Biology or Biomedical Engineering5+ 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 directionExperience taking Cloud/SaaS products from concept and definition through engineering design, launch, and go-to-marketDeep 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 generationAbility to translate scientific user needs from researchers, clinicians, translational teams, medical affairs, and data scientists into product requirements without oversimplifying the scienceAbility to work in ambiguous, fast-moving environments and convert unclear customer problems into scalable product solutionsHands-on product leadership for AI/ML platforms or applications, including model-backed APIs, copilots, agentic workflows, or decision-support productsFluency 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-offsWorking knowledge of regulated and semi-regulated environments, including GxP, HIPAA, privacy, model governance, validation, auditability, and evidence requirements for scientific and healthcare use casesFluency 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 considerationsMBABenefitsCompetitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributionsRetirement savings with company matchingPaid parental leaveInclusive family-building benefitsFully remoteFlexible paid time offCompany-wide seasonal breaksSupport for flexible work arrangements that enable sustainable performanceOpportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programsCompany OverviewSandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://www.sandboxaq.com.Company H1B SponsorshipSandboxAQ has a track record of offering H1B sponsorships, with 7 in 2025, 6 in 2024, 3 in 2023, 5 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.