Backed by Sequoia.
About the role
SKU-heavy manufacturers have abundant market data but struggle to turn competitive changes into commercial decisions. Price, configuration, channel, inventory, and product signals rarely connect cleanly to the company's own portfolio. This role is to build an AI-native market intelligence and pricing system that converts those signals into defensible actions.
What they're looking for
- Own the build from ingestion through entity resolution, signal detection, recommendations, and operator workflows
- Work with AI Fund and enterprise users to define the first pilot, success metrics, and the MVP cut line
- Decide which workflow ships first and keep the technical judgment behind every recommendation visible
- Build evaluation loops for incorrect product matches, unsupported recommendations, hallucinated drivers, and constraint failures
- Design for enterprise trust from the beginning, including data isolation, auditability, model routing, and deployment controls
More about this role
SKU-heavy manufacturers have abundant market data but struggle to turn competitive changes into commercial decisions. Price, configuration, channel, inventory, and product signals rarely connect cleanly to the company's own portfolio. This role is to build an AI-native market intelligence and pricing system that converts those signals into defensible actions.
- A market-signal pipeline that ingests competitor portfolios, channel movement, pricing, specifications, and configuration changes.
- A spec-aware entity-resolution system that maps competitor products against the customer's own lineup.
- A recommendation engine that turns changes into price, positioning, promotion, or portfolio actions.
- A constraint and monitoring layer that respects cost, margin, inventory, channel, and sales realities while improving from user feedback.
- Own the build from ingestion through entity resolution, signal detection, recommendations, and operator workflows.
- Work with AI Fund and enterprise users to define the first pilot, success metrics, and the MVP cut line.
- Decide which workflow ships first and keep the technical judgment behind every recommendation visible.
- Build evaluation loops...
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