9 дней назад
Senior Staff Product Manager (AI/Data Platform)
205 500 - 278 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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