Group Product Manager, Enterprise Data (AI)

Location: Mountain View, California, United States

Salary: $237,500–$321,500 annual base pay in Mountain View; may also include cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Define the multi-year product vision, strategy, and roadmap for the Enterprise Context Layer and agent-first data consumption.
• Establish the Business Object Model and reusable agent context with trusted business meaning, relationships, metadata, lineage, quality, and policy-aware access.
• Transform manual, ticket-driven, and human-centric data workflows into self-service, intent-driven, automated, and fine-grained access experiences.
• Partner with engineering, architecture, privacy, security, legal, data governance, AI, analytics, and data science teams to deliver scalable platform capabilities.
• Drive adoption, migration, go-to-market, and customer success for context-layer and data-consumption capabilities.
• Recruit, lead, coach, and develop a high-performing product management team.

Requirements

• 10+ years of product management experience across enterprise data platforms, data infrastructure, analytics, AI, developer platforms, or related technical products.
• Demonstrated success replacing fragmented or bespoke workflows with reusable enterprise capabilities and driving migration from legacy systems.
• Strong understanding of enterprise data architecture, including data modeling, metadata, governance, data quality, lineage, and data consumption patterns.
• Experience defining platform abstractions and paved paths that conceal infrastructure complexity while preserving flexibility for sophisticated users.
• Strong understanding of semantic data concepts such as canonical models, business entities, semantic layers, or comparable enterprise modeling approaches.
• Experience building or leading products for developers, analysts, data scientists, AI systems, or other technical customers.
• Strong understanding of AI and agentic architectures, including how agents discover, retrieve, interpret, and act on enterprise context.
• Experience with authorization, access control, policy enforcement, data privacy, or governance systems.
• Strong customer orientation, executive communication, and the ability to translate complex and conflicting requirements into scalable platform solutions.
• Experience leading, recruiting, coaching, and developing product managers.

Nice to have

• Experience with Databricks, Snowflake, AWS data services, or comparable modern data platforms.
• Experience with knowledge graphs, ontologies, semantic layers, enterprise business object models, entity resolution, or canonical data models.
• Experience with fine-grained access control, policy engines, consent, purpose-based access, or automated data governance.

Culture & Benefits

• Full-time position based in Mountain View, California.
• Competitive compensation with pay-for-performance rewards.
• Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
• Pay is determined by job-related knowledge, skills, experience, and work location.