Associate Director, Product Management

Accountabilities

• • Own the complete product lifecycle for the internal drug discovery platform, defining and maintaining a roadmap aligned with broader scientific, technological, and business objectives.
  • Establish product vision, priorities, and success metrics, balancing immediate scientific requirements with long-term scalability and platform strategy.
  • Regularly communicate product strategy, progress, impact, and priorities to executive leadership and key organizational stakeholders.
  • Develop a deep understanding of medicinal chemistry, molecular design, and small-molecule program workflows to identify friction points and opportunities for product improvement.
  • Translate complex scientific and computational capabilities into intuitive, reliable, and scalable user experiences that support the full design-make-test-analyze cycle.
  • Serve as the primary bridge between scientific stakeholders and engineering, AI, machine learning, and computational teams, ensuring product requirements accurately reflect scientific and technical realities.
  • Lead the integration of AI agents, automated workflows, and advanced computational tools into the platform experience, making sophisticated capabilities accessible to non-computational users.
  • Partner with technical teams to define requirements, prioritize development work, and ensure reliable delivery of high-quality product capabilities.
  • Monitor user engagement, adoption, and program performance to evaluate product effectiveness and continuously improve the platform.
  • Apply SaaS product management principles to establish the platform as a scalable command center for small-molecule discovery programs.
  • Collaborate with SRE and DevOps teams on highly available and reliable application architectures and deployments.
  • Help define the requirements for transitioning complex internal capabilities toward broader enterprise or external use cases, including service expectations, security, governance, and deployment considerations.
  • Champion appropriate data privacy, security, and governance practices when working with sensitive proprietary datasets.
  • Balance rapid iteration and responsiveness to internal scientific stakeholders with the architectural, UX, and operational requirements necessary for long-term product scalability.

  Requirements

  • 5+ years of experience managing complex, highly technical software products in a technology-first, SaaS, or high-growth environment.
  • Strong product management fundamentals across product discovery, definition, prioritization, roadmap development, and execution.
  • Demonstrated success building and managing complex internal tools or platforms used by highly technical teams.
  • Strong technical fluency with the ability to understand complex AI, ML, and computational concepts and translate them into effective user-facing product capabilities.
  • Proven track record of shipping reliable, robust software in agile environments while balancing long-term product vision with immediate business or scientific requirements.
  • Strong strategic thinking, product judgment, stakeholder management, and communication skills.
  • Ability to work effectively across scientific, engineering, AI/ML, computational, and executive stakeholder groups.
  • Experience translating complex technical or scientific workflows into intuitive products and experiences.
  • Experience expanding sophisticated internal tools into external-facing enterprise products is preferred, including defining requirements, service expectations, SLAs, and client expectations.
  • Familiarity with highly available software architectures and secure cloud deployments, including collaboration with SRE and DevOps teams, is preferred.
  • Experience with secure or client-hosted cloud environments, such as private or secure VPC deployments, is a plus.
  • Strong understanding of data privacy, security, governance, and the management of sensitive proprietary or third-party datasets is preferred.
  • Ability to develop long-term product strategies that balance fast-moving internal needs with the requirements of future external users and enterprise deployments.
  • Experience in life sciences, drug discovery, or computational biology is helpful but not required; strong software product expertise is the primary qualification.

  Benefits

  • Competitive annual salary of $195,000–$294,000, depending on experience.
  • Participation in the company’s stock option plan.
  • 3% retirement safe harbor contribution.
  • Fully paid medical, dental, and vision insurance.
  • Fully paid life and disability insurance.
  • Opportunity to work at the intersection of AI, software, chemistry, and drug discovery.
  • Highly visible product leadership role with direct exposure to executive leadership and cross-functional scientific and technical teams.
  • Hands-on environment that encourages ownership, creativity, accountability, and meaningful contribution.
  • Opportunity to influence the development of advanced technology designed to accelerate the discovery of new medicines.