Level

Harvey

Trust Engineer

Harvey is hiring a Trust Engineer for a remote role open to applicants in United States. It pays $220k-$330k a year and Level rates it ; you can apply on Harvey.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Snowflake, Python and AI agents.
  • Level classifies it as a senior role.
  • Level lists 357 other open roles at Harvey.

AI in this role

Build and own compliance data infrastructure, automation tooling, and AI-powered workflows for automated evidence collection and control testing.

snowflakepythonai-agents
ai-agentscomplianceautomationsecuritydata-engineering
Why Harvey

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. We have 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.

Role Overview

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.

What You'll Do
  • 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

What You Have
  • 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

Nice to Have

  • 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

Compensation

$220,000 - $330,000 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-KV1

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 accommodations@harvey.ai

How we rate this

Trust Engineer at Harvey rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsComplianceAutomationSecurityData EngineeringSnowflakePython

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where compliance was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where security was part of your work. What did you do?
  5. Tell me about a project where data engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Compliance, Automation, Security, and Data Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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