About: Cognyx builds AI software that uses knowledge graphs to help manufacturers engineer hardware at software speed, by reconciling product and engineering data across CAD, PLM, ERP and other systems. As Data Product Manager, you will own the semantic data platform: how real-world engineering data is brought in, mapped onto Cognyx’s ontology and kept trustworthy.
Missions
- Run hands-on discovery with engineers and data teams to understand how engineering data is really used, and benchmark practice in semantic layers, ontologies and applied AI.
- Shape the roadmap for the data platform, semantic layer and knowledge graph with the Head of Product, founders and engineering.
- Define how external sources (CAD, PLM, ERP, MES, documents) are ingested, structured and mapped to the ontology, and run build-versus-buy decisions on platform components.
- Design the semantic layer with engineering, prototyping queries, prompts, transformations and AI workflows to test ideas early.
- Manage the backlog and delivery for the data platform.
- Drive adoption of what ships through documentation, user support, feedback and adoption metrics.
Profile
- 5+ years in product management, data product or technical PM roles, ideally on complex B2B or enterprise SaaS products.
- You have owned a data architecture (models, contracts, trade-offs), beyond shipping features on top of one.
- Fluent with ontologies, semantic layers, domain models and knowledge graphs, with a real instinct for data quality.
- Experience running structured build-versus-buy or vendor decisions, with thinking on total cost of ownership.
- Able to sketch small prototypes (SQL, Python, prompt flows) and explain technical concepts simply.
- Working proficiency in English and French; exposure to manufacturing or LLM-based features is a plus.
