- Knowledge graph or context graph experience, including entity resolution and graph query optimization.
- Experience building ontologies or semantic layers at enterprise scale, including ontology alignment and schema mapping across data sources.
- Experience fine-tuning or evaluating LLMs for entity extraction, classification, or relation extraction.
- Data governance, lineage, or catalog product experience, including auditability and access control.
- Production experience with data pipeline ingestion from SaaS sources.
- Familiarity with OpenAPI and other AI interoperability standards.
- Advanced degree in Computer Science, AI, or a related field.
**Why join us**
Intelligence is commoditizing. Context and execution are not. You’ll build the context layer that connects the whole stack: SENSE (any data) → DECIDE (any AI model) → ACT (any workflow) → GOVERN (identity + governance). You’ll report to the VP of Engineering, and the architectural inflection point is now.
For positions in this location, we offer a base pay of **$221,200 - $387,100**, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.