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8 дней назад

Staff Technical Program Manager

181 600 - 272 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Technical Program Manager (Growth/AI): Driving complex, cross-functional technical transformation programs across engineering and product with an accent on strategic roadmap ownership, organizational change, and executive alignment. Focus on resolving dependencies, mitigating delivery risks, guiding high-impact launches, and scaling effective practices across teams working with AI, machine learning, and large datasets.

Location: New York City, NY; ability to relocate to NYC required

Base salary: $181,600–$272,400 USD annually, supplemented by equity compensation.

Company

hirify.global develops education products designed to make learning universally available to hundreds of millions of learners worldwide.

What you will do

  • Define and drive roadmaps for high-impact, cross-functional initiatives in the Growth pillar and across the organization.
  • Lead strategic technical transformation programs from concept through launch across multiple teams and workstreams.
  • Coordinate engineering, product, data science, QA, and executive stakeholders around shared goals, decisions, and delivery.
  • Build detailed plans, manage milestones and dependencies, mitigate risks, remove blockers, and ensure smooth launches.
  • Lead organizational change as engineering teams adopt new processes, tooling, and ways of working.
  • Guide TPMs and engineering leads while scaling delivery best practices across teams.

Requirements

  • Proven experience as a technical program manager, engineering lead, or engineering manager.
  • B.S. or M.S. in Computer Science, or equivalent experience.
  • Experience leading large-scale technical transformation programs with measurable organizational impact.
  • Strong executive presence and influence in matrix organizations, including the ability to drive decisions without direct authority.
  • Deep technical credibility and experience managing ambiguity, dependencies, technical complexity, and changing priorities.
  • Ability to relocate to and work from New York City.

Nice to have

  • Hands-on experience in software engineering or systems engineering.
  • Conceptual fluency in LLM-based products and AI infrastructure.
  • Experience with machine learning, large datasets, or AI/ML infrastructure programs.
  • Experience working with AWS at scale.

Culture & Benefits

  • Work on a large-scale education mission used by hundreds of millions of learners.
  • Collaborate with engineering, product, data science, QA, and executive leadership.
  • Access mentorship, learning opportunities, and cross-functional collaboration.
  • Receive equity compensation in addition to base salary.
  • Employee well-being benefits are provided.

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