Allogene Therapeutics

AI Product Manager (Contractor)

South San Francisco, CA, US$187,200-$208,000Posted 29 days ago

Job Description

About Allogene

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease. Led by a management team with significant experience in cell therapy, Allogene is developing a pipeline of “off-the-shelf” CAR T cell product candidates with the goal of delivering readily available cell therapy on-demand, more reliably, and at greater scale to more patients.

About the role

This is a consulting engagement to help define and advance the company’s enterprise AI roadmap, partnering with internal teams to evaluate solutions, support adoption, and recommend governance practices. Scope and duration to be defined in the consulting agreement.

Responsibilities include, but are not limited to

  • 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 (e.g., large language models, generative AI, ML operations platforms), 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
  • Partner with Cybersecurity and Infrastructure teams to support review of AI tools and platforms against applicable security, access, and operational standards prior to deployment
  • Lead AI adoption initiatives across functions—facilitating change management, user enablement, and governance frameworks to ensure responsible and compliant AI use
  • Establish and maintain an AI governance framework, in partnership with relevant functions, including risk assessment, usage guidance, and compliance considerations for AI tools used in regulated contexts
  • Collabora

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