AI Product Manager

Planet Pharma; San Diego (CA); On-site; USD 138,000 - 161,000; Full time

Job summary

Planet Pharma seeks an experienced AI Product Manager to lead the definition, delivery, and scaling of AI-enabled solutions across enterprise and scientific workflows in regulated life sciences.

The role partners with data science, engineering, and compliance teams to translate real-world use cases into production-ready, compliant AI products, balancing impact, feasibility, and risk. This six-month engagement emphasizes rapid discovery and hands-on execution, with pay rate range specified.

Qualifications

• 5+ years of product management experience across enterprise, data, or digital products.
• Hands-on experience delivering AI-enabled analytics or automation solutions.
• Ability to translate business problems into structured product requirements.
• Experience working cross-functionally with engineering, data science, and business teams.
• Comfort operating in complex, matrixed, and regulated environments.
• Excellent communication and stakeholder management skills.

Responsibilities

• Own the product vision, roadmap, and success metrics for assigned AI use cases.
• Identify and prioritize high-value AI opportunities aligned to business outcomes.
• Translate ambiguous business problems into clear product requirements and user stories.
• Navigate evolving problem spaces to uncover applied AI opportunities that deliver tangible business value.
• Partner with data science, engineering, and platform teams to deliver AI-powered solutions end to end.
• Lead backlog prioritization, sprint planning, and stakeholder reviews.
• Ensure AI capabilities are production-ready, scalable, and operationally supported.
• Rapidly test assumptions, refine scope, and iterate toward MVPs that balance impact, feasibility, and risk.
• Work directly with subject matter experts across R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, and Commercial.
• Act as the primary translator between business needs and technical implementation.
• Manage expectations, tradeoffs, and timing across diverse stakeholder groups.
• Define human-in-the-loop workflows, guardrails, and success criteria for AI usage.
• Define and track success metrics spanning adoption, value realization, quality, and risk indicators.
• Incorporate user feedback and performance data to iteratively improve the product.
• Support go-to-market, enablement, and change management efforts as needed.

Skills

Product management

AI/ML concepts

Regulated environments

Cross-functional teamwork

Stakeholder communication

Job description

Role Summary

We are seeking an experienced AI Product Manager to lead the definition, delivery, and scaling of AI-enabled solutions across enterprise and scientific workflows. This role partners closely with business stakeholders, data science, engineering, and compliance teams to translate real-world life sciences use cases into production-ready, compliant AI products.

The ideal candidate brings a strong product mindset, fluency in AI concepts including generative AI, analytics, and automation, and experience operating in regulated environments such as pharma, biotech, or medical devices.

Key Responsibilities

Product Strategy & Discovery

• Own the product vision, roadmap, and success metrics for assigned AI use cases.
• Identify and prioritize high-value AI opportunities aligned to business outcomes.
• Translate ambiguous business problems into clear product requirements and user stories.
• Navigate evolving problem spaces to uncover applied AI opportunities that deliver tangible business value.

Delivery & Execution

• Partner with data science, engineering, and platform teams to deliver AI-powered solutions end to end.
• Lead backlog prioritization, sprint planning, and stakeholder reviews.
• Ensure AI capabilities are production-ready, scalable, and operationally supported.
• Rapidly test assumptions, refine scope, and iterate toward MVPs that balance impact, feasibility, and risk.

Stakeholder & Domain Engagement

• Work directly with subject matter experts across R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, and Commercial.
• Act as the primary translator between business needs and technical implementation.
• Manage expectations, tradeoffs, and timing across diverse stakeholder groups.

Governance, Risk & Compliance

• Ensure AI solutions are designed with appropriate controls, documentation, and auditability.
• Partner with Legal, Compliance, Quality, and IT to align with regulatory and data governance requirements, including GxP and validation considerations.
• Define human-in-the-loop workflows, guardrails, and success criteria for AI usage.

Measurement & Iteration

• Define and track success metrics spanning adoption, value realization, quality, and risk indicators.
• Incorporate user feedback and performance data to iteratively improve the product.
• Support go-to-market, enablement, and change management efforts as needed.

Required Qualifications

• 5+ years of product management experience across enterprise, data, or digital products.
• Hands-on experience delivering AI-enabled, analytics, or automation solutions.
• Strong ability to translate business problems into structured product requirements.
• Experience working cross-functionally with engineering, data science, and business teams.
• Comfort operating in complex, matrixed, and regulated environments.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in life sciences, pharmaceuticals, biotech, or medical devices.
• Familiarity with regulated environments, including GxP, clinical, quality, and regulatory workflows.
• Exposure to generative AI, LLMs, intelligent automation, or advanced analytics.
• Experience with enterprise platforms including Microsoft, data platforms, and workflow tools.
• Background working on portfolio-level or multi-use-case AI initiatives.

What Success Looks Like

• Assigned AI use cases advanced from definition through production release within the engagement window.
• Clear, documented product requirements and prioritized backlogs that delivery teams can execute against.
• Solutions designed with the controls, documentation, and human-in-the-loop workflows required for compliant use.
• Defined success metrics in place and reported, with adoption and value realization measured rather than assumed.
• Stakeholder alignment maintained across business, technical, and compliance groups throughout delivery.

Working Environment

This engagement is focused on tangible delivery and capability advancement over a six-month window. It requires the ability to onboard rapidly, lead discovery and execute in parallel, and balance product strategy with hands-on execution. The role suits an outcomes-oriented, pragmatic, and collaborative practitioner.

Pay Rate Range: $100-117/hr depending on experience