Harvey

1 month ago

Trust Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Build and own Harvey's compliance data layer and automation tooling to scale audit readiness, continuous monitoring, and risk reporting. Design data pipelines in Snowflake, develop AI-powered workflows for evidence collection and control testing, and partner with Engineering and Security to map technical implementations to compliance controls for a secure, scalable platform.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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

Pay and Benefits

Salary: USD 220,000 - 330,000 annually

Equity and Bonus:Equity

Key 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

Experience:6+ yearsSecurityComplianceTrustDataAI

Skills:CommunicationProblem-solvingCollaborationRisk assessmentAnalytical thinking

Tech Stack:SnowflakeBigQuerySQLPythonLLMsAI

Company Brief

Harvey

Harvey builds domain-specific generative AI for legal and professional services, automating contract analysis, due diligence, compliance, and litigation workflows for law firms and corporate legal teams.

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Harvey

1 month ago

Trust Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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

Pay and Benefits

Salary: USD 220,000 - 330,000 annually

Equity and Bonus:Equity

Key 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

Experience:6+ yearsSecurityComplianceTrustDataAI

Skills:CommunicationProblem-solvingCollaborationRisk assessmentAnalytical thinking

Tech Stack:SnowflakeBigQuerySQLPythonLLMsAI

Company Brief

Harvey

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.1

Website LinkedIn Glassdoor