Anthropic6 дней назад

Product Manager, Claude Science

Зарплата не указана
РЫНОК
16 333медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Работодатель не указал зарплату — сравните с рынком сами.
San Francisco

Обязанности

  • 01Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined
  • 02Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics
  • 03Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development
  • 04Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers
  • 05Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape
  • 06Prototype ideas yourself with Claude to validate them before committing engineering time
  • 07Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings
  • 08Drive enterprise readiness — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence
  • 09Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state
  • 10Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning
  • 11Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it

Требования

  • 01Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist
  • 02Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task
  • 03Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology
  • 04Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone
  • 05Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities
  • 06Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions
  • 07Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority
  • 08Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world