Trust Engineer

Stack

Responsibilities

• ▹Own and optimize Harvey's compliance automation tooling across compliance programs
• ▹Design and build a compliance data layer in Snowflake, ingesting signals from infrastructure, security tools, and SaaS platforms
• ▹Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring
• ▹Partner with Engineering and Security to map technical implementations to compliance controls and maintain a control inventory
• ▹Build reporting layers that translate compliance signals into risk posture and certification status narratives for leadership

Requirements

• ▹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 map control requirements 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 government compliance programs

About the company

Harvey builds AI for legal and professional services, combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. The company serves 1,500+ customers in 60+ countries, has strong product-market fit and world-class investor backing, and is scaling fast.