2 часа назад
Engagement Manager, Life Sciences (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engagement Manager, Life Sciences (AI): Owning end-to-end life sciences engagements from technical scoping through pilot execution, delivery, renewals, and expansion with an accent on scientific objectives, customer impact, and cross-functional coordination. Focus on translating complex AI and life sciences requirements into execution plans, managing delivery risks, and building repeatable engagement playbooks.
Location: San Francisco, CA; in person 5 days a week, with one company-wide remote week per month.
Company
is a San Francisco-based public benefit research company developing interpretable AI systems to make models safer, more useful, and understandable.
What you will do
- Own life sciences engagements end to end, including pilots, deployments, renewals, and expansions.
- Translate customer scientific goals into execution plans covering technical requirements, success criteria, timelines, owners, and decision points.
- Coordinate Field Team members, engineers, researchers, go-to-market partners, and customer stakeholders.
- Serve as the day-to-day engagement lead for technical and executive stakeholders across life sciences accounts.
- Capture engagement learnings and develop repeatable playbooks for serving life sciences customers at scale.
Requirements
- Experience managing complex technical, scientific, or enterprise customer engagements from scoping through delivery.
- Strong project management and customer communication skills across technical and non-technical stakeholders.
- Ability to learn AI/ML and life sciences concepts quickly and translate them into practical customer-facing plans.
- High agency, strong judgment, and comfort operating in ambiguous environments.
Nice to have
- Experience in engagement management, solutions, consulting, or implementation for technical products.
- Familiarity with pharma, biotech, computational biology, drug discovery, clinical development, or scientific research workflows.
- Experience with AI/ML, data platforms, developer tools, infrastructure, or other deeply technical products.
- Experience growing strategic accounts through strong delivery and trusted relationships.
Culture & Benefits
- Mission-driven work focused on safe and beneficial AI.
- High-ownership, fast-paced environment with an emphasis on initiative and continuous improvement.
- Market-competitive salary, equity, and competitive benefits.
- Collaboration with leading interpretability researchers and engineers.
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