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Product Manager, Technical Platform Engineering (AI)

140 000 - 175 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
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

Product Manager, Technical Platform Engineering (AI): Developing and optimizing foundational tools, CI/CD pipelines, and internal developer platforms for a large engineering organization with an accent on developer experience and platform reliability. Focus on integrating AI-powered features into the product delivery lifecycle to improve lead time and deployment frequency.

Location: Must be based in Seattle, WA and work onsite 5 days a week

Salary: $140,000–$175,000

Company

A leading financial data platform providing deep insights into the private markets.

What you will do

  • Own the product vision and roadmap for the Platform Engineering domain, including internal developer platforms, CI/CD, and cloud infrastructure.
  • Partner with engineering managers and staff engineers to translate strategy into requirements, priorities, and milestones.
  • Lead discovery efforts to understand developer workflows and translate pain points into high-impact product initiatives.
  • Define and operate success metrics (DORA, SPACE) to monitor developer lead time, deployment frequency, and platform reliability.
  • Drive the AI-enabled product delivery experience, scoping and prioritizing AI-powered features from the IDE to incident response.
  • Align stakeholders across Engineering, Product, Security, SRE, and Legal to balance velocity, safety, and scale.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
  • 3+ years of product management experience, with 2+ years focused on technical platforms, developer tools, or infrastructure.
  • Strong technical acumen in CI/CD pipelines, Kubernetes, Docker, Infrastructure-as-Code, and AWS or GCP.
  • Experience defining and reporting on developer productivity metrics (DORA, SPACE).
  • Hands-on familiarity with Generative AI and LLM-based workflows.
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Culture & Benefits

  • Comprehensive health benefits, including medical wellness incentives and life insurance.
  • Financial wellness through 401k match and a shared ownership employee stock program.
  • Generous time off, including a paid sabbatical program after four years and allotments for vacation, sick, and volunteer days.
  • Professional growth support with an annual educational stipend and tuition reimbursement.
  • Family support through subsidized emergency childcare and Dependent Care FSA.
  • Active company culture with quarterly team building events and employee resource groups.

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