AI Product Manager

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 CDMO 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.