Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs including audit readiness, continuous monitoring, and risk reporting.
- • Design and build a compliance data layer in Snowflake by 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 using LLMs and agentic AI workflows.
- • Partner with Engineering and Security teams to map technical implementations to compliance controls and maintain an accurate, living inventory of controls.
- • Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences.
- • Select and integrate best-in-class compliance automation platforms to enhance scalability and reduce manual effort in trust and assurance programs.
- • Ensure Harvey’s platform meets the trust and compliance expectations of enterprise customers, including law firms and large corporations operating in regulated environments.
- • Translate complex compliance framework requirements (e.g., SOC 2, ISO 27001, GDPR) into technical specifications and automated validation processes.
- • Collaborate cross-functionally to align engineering practices with audit evidence requirements and ensure seamless preparation for third-party assessments.
- • Automate the collection and validation of control evidence to reduce manual labor and increase accuracy in compliance reporting.
- • Maintain and evolve the data infrastructure that supports Harvey’s trust and assurance programs as the company scales across 60+ countries.
- • Work closely with the Head of Trust to define and prioritize initiatives that strengthen Harvey’s compliance posture and customer trust.
- • Ensure all automation systems are secure, auditable, and aligned with enterprise-grade standards for data handling and access control.
- • Proactively identify gaps in compliance coverage and propose technical solutions to close them before audits or customer inquiries arise.
- • Document automation workflows, data mappings, and control-to-implementation relationships for internal and external audit purposes.
- • Continuously improve the efficiency and reliability of compliance systems by incorporating feedback from internal stakeholders and external auditors.
🎯 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 understand control requirements and map them to technical implementations
- • Experience building AI-powered workflows or agents using LLMs
🏖️ Benefits
- • Compensation range of $220,000 - $330,000 USD depending on location
- • Opportunity to build and scale a Trust and compliance engineering function at a high-growth SaaS company
- • Work alongside a team committed to Decisiveness, Simplicity, and Job's Not Finished values
- • Access to frontier agentic AI technology and enterprise-grade platform to solve complex trust challenges
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Harvey AI Inc.
Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.
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