Data Product Manager (AI)

Location: Palo Alto, California; work in the Palo Alto office 4 days a week

Annual base salary: $150,000–$250,000

Company

hirify.global builds an autonomous sourcing platform that manages the intake-to-award process for global enterprise procurement, including purchase-intent interpretation, supplier evaluation, and negotiation strategy execution.

What you will do

• Own the data product strategy and roadmap, turning customer and sourcing data into a proprietary asset and durable competitive advantage.
• Design instrumentation, canonical data models, taxonomies, entity resolution, and data standards across customer, ERP, and procurement systems.
• Build feedback loops, labeled datasets, evaluation sets, feature pipelines, and retrieval sources to improve AI agents and machine learning performance.
• Define customer-facing analytics and benchmark products, including spend and savings reporting, dashboards, market pricing, and should-cost insights.
• Partner with Engineering, Machine Learning, Product, Legal, Security, and Sales on data usability, rights, consent, aggregation, anonymization, and contractual frameworks.
• Measure data quality and business value through coverage, model performance lift, cycle time, savings, spend under management, supplier participation, and award outcomes.

Requirements

• 5+ years of product management experience, including 3+ years owning data platform, data infrastructure, or AI/ML data products.
• Track record of turning proprietary data into strategic assets such as data network effects, industry benchmarks, or training data that measurably improved model performance.
• Deep understanding of data architecture, including data modeling, pipelines, warehouses, lakehouses, entity resolution, and master data management.
• Experience with training data, labeling, evaluation datasets, and machine learning or LLM feedback loops.
• Experience structuring and normalizing messy, multi-source enterprise data, ideally from ERP, procurement, or financial systems.
• Working knowledge of data rights, privacy, governance, anonymization, and aggregation in multi-tenant B2B SaaS.
• Strong technical fluency, including SQL, with the ability to assess data quality and independently validate assumptions.
• Strategic, business-oriented approach with the ability to communicate the economic value of data and justify investment to executive leadership.
• Experience turning customer or operational data into analytics, dashboards, or benchmarks for external customers.

Nice to have

• Experience with procurement, sourcing, or spend data.

Culture & Benefits

• Work in the Palo Alto office 4 days per week with face-to-face collaboration.
• Own strategy, programs, and measurable business impact in an AI-driven enterprise procurement product.
• Participate in a diverse and inclusive workplace with equal employment opportunity.
• Employment is subject to E-Verify requirements.