Senior Product Manager (AI)

Location: San Francisco, CA; hybrid

Salary: $210K–$240K annually, plus equity

Company

hirify.global develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify, investigate, and resolve quality issues while improving customer outcomes.

What you will do

• Own the journey from customer data handoff to a usable workspace, including setup, transformations, mappings, readiness, and initial actionable issues.
• Define the vision, strategy, and roadmap for data products with customers, Engineering, Design, Solutions, and Operations.
• Turn manual implementation and onboarding work into repeatable product capabilities.
• Decide how customer data is structured, linked, classified, and converted into quality issues.
• Capture customer product, component, and failure-mode context to improve classification, knowledge hubs, and AI-agent performance.
• Use onboarding results and customer feedback to improve the product experience.

Requirements

• 5+ years of product management experience in B2B software.
• Experience with messy customer data or AI output that customers need to trust.
• Hands-on experience with data schemas, taxonomies, ingestion pipelines, or similar data-product surfaces.
• Experience defining and measuring AI output quality using labeled examples.
• Track record of turning implementation, onboarding, or operations work into repeatable product capabilities.
• Experience working directly with customers and internal setup teams, plus experience at a venture-backed startup.

Nice to have

• Experience in manufacturing, quality, warranty, field service, or another complex operational domain.
• Background in data preparation, data quality, data labeling, or evaluation products.
• Experience with taxonomies, classification systems, knowledge capture, or context design for AI agents.
• Previous experience in implementation, solutions, or customer onboarding.

Culture & Benefits

• Collaborative, direct, feedback-driven environment with a strong bias toward action.
• High ownership, accountability, and autonomy in a fast-moving startup.
• Respect for time off and boundaries while acknowledging occasional intense pushes for difficult problems.
• Generous time off, competitive benefits, equity, and compensation.
• Work with AI technology applied to manufacturing quality intelligence.