Роль чётко сосредоточена на важных программах AI-облака, а компания показывает признаки быстрого роста; главный компромисс - обязательное присутствие в офисе четыре дня в неделю.
Четыре дня в офисе
Выше рынка
Рост в AI-инфраструктуре
Чёткая зона ответственности
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Technical Program Manager (Public Cloud): Delivering Lambda Public Cloud roadmap commitments and coordinating launches across compute, networking, storage, and cloud control plane services with an accent on distributed systems, GPU infrastructure, and cross-functional execution. Focus on translating product and engineering strategy into delivery plans, resolving dependencies and risks, and measuring service availability, provisioning, performance, and customer experience.
Location: Hybrid, with presence in the San Jose, San Francisco, or Bellevue office 4 days per week; work from home day is Tuesday.
Annual salary: $278,000–$370,000 in San Jose or San Francisco; $226,000–$302,000 in Bellevue.
Company
Lambda builds AI cloud infrastructure for AI researchers, enterprises, and hyperscalers, with a focus on making compute widely accessible.
What you will do
Own complex public cloud programs from planning through rollout, delivering roadmap commitments on schedule and with high quality.
Translate product priorities and engineering strategy into execution plans with outcomes, milestones, owners, decision points, and delivery cadence.
Partner with engineers on architecture, estimates, sequencing, dependencies, risks, and tradeoffs.
Coordinate launches across compute, networking, storage, and cloud control plane services with Engineering, Product, Infrastructure, SRE, Security, and Support.
Define launch success measures for availability, provisioning, performance, and customer experience, using post-launch reviews to improve delivery.
Requirements
At least 8 years of experience in technical program leadership or engineering management, including a record of shipping complex cloud services.
Strong understanding of software delivery, infrastructure architecture, and distributed systems sufficient to assess implementation choices and challenge engineering assumptions.
Experience with GPU infrastructure, machine learning platforms, or orchestration systems such as Kubernetes.
Ability to independently lead several teams through ambiguous requirements, competing priorities, and delivery risks while influencing decisions without direct authority.
Clear communication of technical issues and business consequences to engineering teams and senior stakeholders, adapting the level of detail.
Effective use of delivery methods and planning tools to improve execution and ownership.
Nice to have
Experience launching customer-facing infrastructure services, including APIs, tenant isolation, access controls, metering, or billing.
Familiarity with GPU capacity planning, fleet lifecycle, cloud service reliability, and production incident follow-up.
Experience establishing repeatable planning and delivery practices in a growing organization.
Culture & Benefits
Flexible paid time off, health, dental, and vision coverage, and generous cash and equity compensation.
Wellness and commuter stipends are available for select roles.
401(k) plan with a 2% company match for USA employees.
Lambda was founded in 2012, has more than 500 employees, and is growing rapidly.
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