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9 дней назад

Senior Staff Product Manager (AI/Data Platform)

205 500 - 278 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Senior Staff Product Manager (AI/Data Platform): Building an enterprise-scale execution intelligence platform that ingests and resolves program data and serves trusted insights to AI agents, assistants, and dashboards with an accent on data onboarding, AI-native experiences, and governance. Focus on defining platform strategy, designing retrieval and grounding approaches, and ensuring accurate, cited, and trustworthy answers across complex enterprise workflows.

Location: Mountain View, California or San Diego, California, United States

Base pay: $205,500–$278,000 annually, plus potential bonus, equity rewards, and benefits.

Company

hirify.global is a global financial technology platform serving customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Own the vision, strategy, roadmap, and delivery of an enterprise execution data platform and its AI experiences.
  • Prioritize data-source integrations, organizational onboarding, and data-quality standards based on customer impact and cost.
  • Translate program-manager and technology-leader workflows into product requirements, data contracts, and measurable outcomes.
  • Partner with engineering and architecture on retrieval, grounding, entity resolution, agent orchestration, freshness, cost, and evaluation decisions.
  • Define privacy, security, access control, tenancy isolation, consent, auditability, and transparency capabilities.
  • Build alignment across product, engineering, program management, and business teams while communicating strategy and trade-offs to executives.

Requirements

  • 8+ years of product management experience delivering platform, data, or large-scale enterprise products.
  • Experience shipping AI-powered products using large language models, retrieval and grounding, agents or tool use, and conversational interfaces.
  • Strong understanding of data platforms, schema, entity resolution, lineage, freshness, governance, and API-first or agent-consumable products.
  • Experience with enterprise access control, tenancy, consent, retention, auditability, experimentation, and data-driven prioritization.
  • Ability to define strategy, influence without authority, build cross-organizational coalitions, and communicate with both engineering teams and executive audiences.
  • BS/MS in a technical field preferred, or equivalent experience.

Culture & Benefits

  • Work with senior leaders and partners across a global financial technology company.
  • Competitive compensation with performance-based rewards.
  • Potential eligibility for cash bonus, equity rewards, and employee benefits.
  • Focus on continuous learning, AI experimentation, mentoring, and rapid incremental delivery.

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