3 months ago
Base Salary
$220k - $330k/yr
Responsibilities
- Own the implementation and optimization of compliance automation tooling across federal and industry compliance programs.
- Design and build a compliance data layer in Snowflake using 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 communicate risk posture and certification status to executive and cross-functional audiences.
Requirements
- 6+ years of experience 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, with strong SQL and Python skills.
- Experience implementing or administering compliance automation platforms.
- Working knowledge of at least one compliance framework and the ability to map control requirements to technical implementations.
- Experience building AI-powered workflows or agents using LLMs.
- Experience at a high-growth SaaS company scaling a Trust or compliance engineering function is preferred.
- Familiarity with AWS, GCP, Azure, and infrastructure-as-code tools is preferred.
- Prior involvement in federal compliance programs is preferred.
Tech Stack
Categories
About Harvey
Harvey is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 100,000 lawyers across 2,400+ customers in 70 countries and over 75% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.