Назад
1 день назад

Technical Program Manager (AI/ML Infrastructure)

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Program Manager (AI/ML Infrastructure): Building the operating system for a forward-deployed engineering team handling complex AI inference programs for strategic customers with an accent on cross-team coordination, operational cadence, and platform improvement. Focus on managing large customer launches, reducing engineering toil, tracking program metrics, and coordinating infrastructure, capacity, product, and engineering dependencies.

Location: Hybrid in San Francisco, Montreal, New York, Seattle, or Toronto.

Salary: $165K–$330K annually, plus equity.

Company

Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies deploy cutting-edge models in production.

What you will do

  • Run the priority-account operating cadence, including hot-account check-ins, leadership reviews, and account planning with Sales leadership.
  • Define ownership, cadences, SLAs, transition criteria, and runbooks across FDE, solution architecture, Sales, Product, infrastructure, capacity, and on-call teams.
  • Coordinate dedicated-capacity rollouts, cluster migrations, capacity reservations, and large customer launches.
  • Reduce engineering toil by identifying incidents, manual routing, configuration work, and after-hours pages that can be eliminated or reassigned.
  • Build and report metrics covering account health, response times, toil, engineer load, and team health.
  • Drive team-scaling programs including onboarding, certification, account balancing, runbook coverage, and hiring operations.

Requirements

  • 5+ years of experience as a TPM or engineer turned TPM working on infrastructure, cloud, or customer-facing technical programs.
  • Technical depth in ML infrastructure systems, Kubernetes, GPUs, and distributed systems, with the ability to follow incident channels and design documents.
  • Experience running programs across multiple teams without formal authority.
  • Ability to structure escalations, close loops, and manage cross-team risks and dependencies.
  • Clear and concise written communication for engineers and executives.
  • High ownership and a preference for fixing processes rather than working around them.

Nice to have

  • Experience working with an AI or ML infrastructure stack.
  • Background in solutions engineering, SRE, or forward-deployed teams.
  • Experience with LLM inference.

Culture & Benefits

  • Meaningful equity and competitive compensation.
  • U.S. employees and dependents receive full medical, dental, and vision insurance coverage.
  • Flexible PTO and a company-wide winter break from Christmas Eve through New Year's Day.
  • Paid parental leave and a fertility and family-building stipend through Carrot.
  • U.S. company-facilitated 401(k) and exposure to a variety of ML startups.

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