AI Product Manager

OVERVIEW:

AI Product Manager to lead the development and adoption of AI-powered platforms across drug discovery, development, and manufacturing. As an integrated CRDMO partnering with over hundreds of global pharma and biotech innovators, this role sits at a high-impact intersection: enabling scientists to work smarter using advanced data and AI capabilities.

You will design and scale intuitive, AI-driven products that empower chemists, biologists, and process engineers, building on organization's existing digital and data investments to create a cohesive AI product ecosystem that enhances productivity across the organization.

RESPONSIBILITIES:

- Own and drive the AI product roadmap including sprint planning, backlog grooming, and release management across drug discovery, development, and manufacturing digital platforms.

- Write clear PRDs, user stories, and acceptance criteria that engineering and data science teams can execute on, accounting for CRDMO data and regulatory constraints.

- Define and track success metrics; conduct regular user research with scientists and business heads to identify friction points and use data-driven insights to continuously improve adoption and workflow efficiency.

- Lead cross functional product squads - AI/ML engineers, data scientists, and domain scientists to make informed tradeoffs around model accuracy, automation, and compliance.

- Manage backlog prioritization using frameworks such as RICE across new features, infrastructure, and technical debt while keeping stakeholders aligned on timelines and scope.

- Translate ambiguous, domain-specific problems into structured, buildable AI solutions from problem definition through to production deployment.

- Develop working familiarity with LLM-based pipelines and agentic workflows to engage meaningfully with engineering and ensure technically sound product decisions.

- Build quick working prototypes using agentic platforms (such as Lovable, V0 etc.) to validate ideas and workflows with business teams.

- Act as the primary product spokesperson to executive leadership presenting roadmaps, impact metrics and investment cases.

QUALIFICATIONS:

- 4+ years of product management experience shipping AI, digital, or analytics products in production environments.

- Strong communication skills with the ability to translate complex technical or scientific concepts across audiences.

- Strong working knowledge of frontend, backend and AI/ML technologies.

PREFERRED QUALIFICATIONS:

- Prior experience in life sciences, pharma, or biotech environments.

- Exposure to enterprise or B2B product development including compliance and regulatory considerations.

- Understanding of digital & analytics platforms and LLM & GenAI applications.