Роль чётко направлена на масштабирование программ AI-инфраструктуры, с заметным влиянием и быстрорастущей продуктовой компанией; при этом нагрузка на координацию и разбор эскалаций может быть высокой.
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Много координацииСовременная AI-инфраструктураКомпания быстро растётПонятные критерии успехаХорошие льготыПерспективная сфера
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Hirify AI/Оригинал
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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