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Harvey

Trust Engineer

San Francisco (Remote)$220k–$330kfulltimemidAdded 1 month ago

About this role

Harvey seeks a Trust Engineer to build the engineering foundation for compliance and audit automation at an AI-powered legal services platform. You'll design data infrastructure, develop AI-driven compliance workflows, and create real-time visibility into control health and risk posture for enterprise customers worldwide.

What you'll do

  • Implement and optimize compliance automation platforms to streamline compliance workflows
  • Design and build a compliance data layer in Snowflake integrating signals from infrastructure, security, and SaaS tools
  • 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
  • Build reporting and dashboards translating compliance data into executive risk narratives

What they're looking for

  • Data pipeline development (Snowflake, BigQuery, or similar)
  • SQL and Python programming
  • Compliance automation platform implementation
  • AI/LLM-powered workflow development
  • Compliance framework knowledge (SOC 2, ISO 27001, or similar)
  • Cloud infrastructure (AWS, GCP, Azure)
  • Security and infrastructure engineering
  • Data modeling and analytics

Benefits

  • Competitive salary: $220,000 - $330,000 USD
  • Opportunity to build trust and compliance engineering function at fast-growing SaaS company
  • Work with cutting-edge AI and compliance automation technologies
  • Strong product-market fit with 1500+ enterprise customers
  • High-growth environment with significant equity and career upside
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Harvey

Harvey builds an AI-powered legal services platform that automates and streamlines legal workflows for corporate, in-house, transactional, and litigation teams. The company is hiring Legal Engineers with diverse practice backgrounds to bridge customers and product development, uncovering legal workflow challenges and shaping the platform's direction based on real-world legal work.

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Likely interview questions

  • Walk us through a compliance data layer you've built or architected. What data sources did you integrate, and how did you ensure data quality and freshness for audit purposes?
  • Describe your experience with Snowflake (or similar data warehousing platforms). How have you used it to surface compliance or security insights at scale?
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