3 дня назад
AI Product Manager
90 - 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager (AI/GenAI): Defining and advancing an enterprise AI roadmap for a clinical-stage biotechnology company with an accent on AI product strategy, vendor evaluation, governance, and adoption in regulated environments. Focus on evaluating LLM platforms, building proof-of-concepts, establishing responsible AI frameworks, and aligning cross-functional stakeholders across R&D, Clinical, Regulatory, and IT.
Location: Remote in South San Francisco, California, United States
Salary: $90–$100 per hour
Company
is a clinical-stage biotechnology company developing allogeneic CAR T cell products for cancer and autoimmune disease.
What you will do
- Lead the enterprise AI product roadmap and identify, prioritize, and deliver AI use cases aligned with strategic objectives.
- Evaluate AI vendor platforms, LLMs, generative AI tools, and MLOps platforms; lead proof-of-concept engagements and build adoption business cases.
- Define AI product requirements, success criteria, rollout plans, and stakeholder alignment across IT, business functions, and external vendors.
- Support cybersecurity, infrastructure, data governance, and operational reviews of AI tools before deployment.
- Lead AI adoption, change management, user enablement, training, and responsible-use governance across the organization.
- Maintain the AI use case registry, track ROI and lessons learned, and present roadmap updates and recommendations to leadership.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Life Sciences, or a related field, or relevant experience.
- 8+ years of experience in product management, enterprise technology, or a related role in the biotechnology or pharmaceutical industry.
- Experience managing AI/ML or GenAI product initiatives, including vendor evaluation, tool deployment, and stakeholder alignment.
- Strong understanding and hands-on experience evaluating or deploying LLM platforms and enterprise generative AI solutions.
- Working knowledge of GxP-adjacent environments and compliance considerations for clinical, regulatory, or quality contexts.
- Ability to translate technical AI capabilities into business outcomes and communicate trade-offs to non-technical stakeholders.
Nice to have
- Advanced degree or formal AI/ML training, certification, or equivalent professional development.
- Familiarity with life sciences and enterprise platforms.
- Knowledge of data governance frameworks and AI security and compliance requirements, including GDPR and HIPAA.
Culture & Benefits
- Consulting engagement with scope and duration defined in the consulting agreement.
- Collaborative environment with cross-functional work across IT, R&D, Clinical, Regulatory, CMC, and Training teams.
- Compensation is determined based on experience, qualifications, geographic location, business needs, and other job-related factors permitted by law.
- Equal opportunity workplace committed to diversity and inclusion.
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