At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Some of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting.
Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across 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
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
$220,000 - $330,000 USD
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]
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