AI Product Manager

AI PRODUCT MANAGER

LOCATION: SAN DIEGO, CA (HYBRID)

DURATION: 6-MONTH CONTRACT

PAY: 112-117 USD




Job Responsibilities:

In this role, you will lead the definition, delivery, and scaling of AI-enabled products across enterprise and scientific workflows. Key responsibilities include:

· Developing and managing the product vision, roadmap, and success metrics for assigned AI use cases.

· Identifying and prioritizing high-value AI opportunities aligned with business objectives.

· Translating complex and ambiguous business problems into clear product requirements and user stories.

· Partnering with data science, engineering, and platform teams to deliver AI-powered solutions from concept through production.

· Managing product backlogs, sprint planning, prioritization, and stakeholder reviews.

· Ensuring AI products are production-ready, scalable, and operationally supported.

· Rapidly testing assumptions, refining scope, and developing MVPs that balance business impact, technical feasibility, and risk.

· Collaborating with subject matter experts across R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, and Commercial.

· Acting as the primary connection between business stakeholders and technical teams.

· Ensuring AI solutions meet applicable governance, risk, compliance, and data requirements.

· Supporting adoption, enablement, change management, and go-to-market activities.

Essential Duties and Job Functions:

· Own product strategy and roadmap for assigned AI initiatives.

· Define clear product requirements, user stories, acceptance criteria, and prioritized backlogs.

· Conduct discovery activities to identify and evaluate opportunities for applied AI.

· Translate business needs into actionable requirements for engineering and data science teams.

· Lead backlog prioritization, sprint planning, product reviews, and delivery discussions.

· Coordinate with data science, engineering, platform, and business teams throughout product development.

· Ensure AI capabilities are scalable, production-ready, and appropriately supported after launch.

· Define human-in-the-loop workflows, guardrails, controls, and success criteria for AI solutions.

· Ensure appropriate documentation, auditability, and controls are incorporated into AI products.

· Partner with Legal, Compliance, Quality, and IT to address regulatory and data governance requirements.

· Support GxP and validation considerations where applicable.

· Define and monitor product success metrics, including adoption, business value, quality, and risk indicators.

· Gather user feedback and performance data to continuously improve AI products.

· Manage stakeholder expectations, priorities, tradeoffs, and delivery timelines.

· Maintain alignment between business, technical, and compliance stakeholders.

· Support product enablement, change management, and adoption initiatives.




Knowledge & Skills:

· Strong product management, communication, documentation, and stakeholder management skills.

· Strong understanding of artificial intelligence, generative AI, analytics, and automation.

· Ability to translate complex business problems into structured product requirements.

· Experience working closely with engineering, data science, and business teams.

· Strong understanding of product discovery, roadmapping, prioritization, MVP development, and iterative delivery.

· Ability to evaluate AI opportunities based on business value, technical feasibility, and risk.

· Understanding of AI governance, risk management, compliance, and data governance.

· Familiarity with human-in-the-loop workflows, AI guardrails, and responsible AI practices.

· Strong analytical, organizational, problem-solving, and critical-thinking skills.

· Excellent written and verbal communication skills.

· Ability to manage competing priorities in a complex, matrixed environment.

· Ability to collaborate effectively with technical and non-technical stakeholders.

· Ability to operate independently and onboard rapidly within a lean team.

· Familiarity with enterprise technology, Microsoft platforms, data platforms, and workflow automation tools.




Education & Experience:

· Bachelor's degree in Computer Science, Information Technology, Business, Engineering, Life Sciences, or a related field.

· 5+ years of product management experience across enterprise, data, digital, or technology products.

· Hands-on experience delivering AI-enabled, analytics, or automation solutions.

· Experience working cross-functionally with engineering, data science, and business teams.

· Experience working in complex, matrixed, and regulated environments.

· Experience in life sciences, pharmaceuticals, biotech, or medical devices preferred.

· Familiarity with GxP, clinical, quality, regulatory, or validation workflows preferred.

· Experience with generative AI, LLMs, intelligent automation, or advanced analytics preferred.

· Experience with enterprise platforms, data platforms, and workflow tools preferred.

· Experience managing portfolio-level or multi-use-case AI initiatives is a plus.

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