AI Product Manager (Contractor)
$187,200–$208,000 year
RemoteSouth San Francisco, California, United States
Job Summary
Lead and advise on the enterprise AI product roadmap, working across business functions to identify, prioritize, and deliver AI use cases that align with the company's strategic objectives. Evaluate and recommend AI vendor platforms and tools, leading proof-of-concept engagements and building the business case for adoption. Partner with IT leadership, business stakeholders, and external vendors to define AI product requirements, success criteria, and rollout plans. Collaborate with Cybersecurity and Infrastructure teams to support review of AI tools against applicable security, access, and operational standards prior to deployment. Establish and maintain an AI governance framework, including risk assessment, usage guidance, and compliance considerations for AI tools used in regulated contexts. Serve as the primary IT liaison to R&D, Clinical, Regulatory, CMC, and Training teams on AI opportunities, tracking emerging tools and assessing applicability to Allogene's pipeline and operations. Develop and deliver training and enablement programs to build AI literacy across the organization. Present AI program updates, roadmap progress, and key recommendations to leadership.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Life Sciences, or related field (or relevant experience)
- 8+ years of experience in product management, enterprise technology, or related role in the biotechnology or pharmaceutical industry
- Demonstrated experience managing AI/ML or GenAI product initiatives, including vendor evaluation, tool deployment, and stakeholder alignment in a complex organization
- Strong understanding of large language model (LLM) platforms and generative AI technologies, with hands-on experience evaluating or deploying leading enterprise AI solutions
- Working knowledge of GxP-adjacent environments and the compliance considerations relevant to AI use in clinical, regulatory, or quality contexts
Desired Qualifications
- advanced degree
- Experience working in or with biotech/pharma organizations; familiarity with key life sciences and enterprise platforms
- Ability to bridge technical and business conversations—translating AI capabilities into business outcomes and communicating tradeoffs clearly to non-technical stakeholders
- Proven ability to manage multiple concurrent initiatives, navigate ambiguity, and build alignment across cross-functional teams
- Completion of formal AI/ML training, certification, or equivalent professional development (e.g., cloud provider AI certifications, recognized GenAI or responsible AI programs)
- Familiarity with data governance frameworks, and security/compliance considerations relevant to enterprise AI (e.g., GDPR, HIPAA)
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