Anthropic предлагает очень высокую оплату для руководящей роли, понятную ответственность за ключевые AI-инфраструктурные программы и возможность создать команду в быстрорастущей компании.
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Офисное присутствиеВысокая зарплатаИнфраструктура AIСоздание команды
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
TPM Manager, Infrastructure (AI): Leading technical program management across datacenter operations, multi-cloud compute, accelerator clusters, production infrastructure, and developer tooling with an accent on scaling infrastructure programs and building a TPM organization. Focus on driving critical programs, coordinating hardware and software initiatives, making portfolio-level prioritization decisions, and developing TPMs while executing hands-on.
Location: San Francisco, CA or New York City, NY; hybrid attendance required at least 25% of the time
Annual salary: $365,000–$565,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Own and drive 2–3 critical infrastructure programs, including datacenter bring-up, capacity scaling, infrastructure migrations, and reliability initiatives.
Lead programs spanning datacenters, cloud providers, accelerator clusters, production serving, networking, data pipelines, and developer tooling.
Build processes and playbooks while establishing effective technical program management practices.
Build, hire, coach, and develop the TPM team, transitioning programs as the organization grows.
Prioritize TPM support, maintain portfolio-level visibility, and represent the team in planning cycles and leadership reviews.
Coordinate across Infrastructure, Research, Product, Security, Finance, and Legal, including executive communication on risks and resource needs.
Requirements
10+ years of technical program management experience, including 7+ years directly managing TPMs.
Experience building a team or function from scratch and scaling TPM organizations in rapidly growing environments.
Experience across physical and software infrastructure, including datacenters, networking, hardware operations, distributed systems, cloud platforms, or developer tooling.
Experience running large-scale compute or infrastructure programs such as capacity planning, cluster deployments, datacenter build-outs, or cloud migrations.
Ability to communicate complex programs clearly to senior leadership and make staffing and prioritization decisions with incomplete information.
Bachelor’s degree or equivalent education, training, and professional experience.
Culture & Benefits
Collaborative environment focused on high-impact AI research and trustworthy AI systems.
Flexible working hours and a collaborative office environment.
Generous vacation and parental leave.
Competitive compensation, benefits, and optional equity donation matching.
Visa sponsorship is available, subject to role and candidate eligibility.
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