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3 дня назад

Principal Product Manager (AI)

230 000 - 328 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Principal Product Manager (AI): Scaling AI-redesigned workflows across non-engineering functions with an accent on blueprint-led redesign and enterprise-wide adoption. Focus on implementing agentic workflows, aligning workforce evolution with AI proficiency, and ensuring behavioral adoption at scale.

Location: Must be based in Mountain View, California or San Diego, California

Salary: $230,000 - $328,500

Company

hirify.global is a global financial technology platform powering prosperity for approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Drive blueprint-led redesign of workflows across non-engineering functions (Finance, Legal, Marketing, etc.).
  • Coach AI Champions through the configuration, integration, evaluation, and rollout of AI agents.
  • Enforce blueprint standards to ensure consistency and prevent fragmentation of the enterprise architecture.
  • Instrument pre- and post-state baselines to validate behavioral adoption and value capture.
  • Identify platform gaps and feed signals back to the Enterprise Solution Architect and engineering teams.
  • Partner with HR to evolve role expectations, hiring criteria, and learning pathways in alignment with AI workflows.

Requirements

  • 12+ years of experience designing, building, or operating production AI/ML systems or enterprise workflow platforms.
  • 3+ years of experience driving change within other organizations or transformation functions.
  • Proven track record of taking AI-powered workflows from prototype to production at enterprise scale.
  • Experience influencing and aligning VP-level stakeholders on workflow strategy and investment.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Nice to have

  • Master’s degree in Computer Science or Engineering.
  • Background in HR, Finance, Legal, Marketing, or Customer Success technology.
  • Experience implementing responsible AI frameworks or AI governance programs.
  • Prior experience as a forward-deployed engineer or AI solutions architect.

Culture & Benefits

  • Competitive compensation package with a strong pay-for-performance approach.
  • Eligibility for cash bonuses and equity rewards.
  • Comprehensive benefits package for full-time employees.
  • Company commitment to fair pay and regular ethnic and gender-based compensation comparisons.

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