Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across federal and industry compliance programs
Design and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness
Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale
Partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory
Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences

6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programs
Hands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and Python
Experience implementing or administering compliance automation platforms
Working knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementations
Experience building AI-powered workflows or agents using LLMs
Nice to Have: Experience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground up
Familiarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidence
Prior involvement in federal compliance programs

Trust Engineer

Key skills