Growth Engineer

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
136K-204K Annually
Mid level
Artificial Intelligence • Legal Tech • Professional Services • Software
The Role
Build and ship AI-driven growth systems that automate content, targeting, personalization, and campaign operations. Integrate automation with Marketo, Salesforce, CMS and analytics, run A/B experiments on harvey.ai and campaign surfaces, manage costs of workflows, and prototype emerging AI capabilities to accelerate demand generation and pipeline conversion.
Summary Generated by Built In
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. 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.

Role Overview

This is the first role of its kind at Harvey — and one of the highest-leverage seats in the company. The Growth Engineer sits at the exact point where growth strategy meets world-class AI execution: you'll take the ideas marketing bets on and turn them into shipped, compounding systems.

You'll partner directly with marketing leadership, demand gen, digital marketing, brand, product marketing, and marketing operations to spot the highest-leverage AI opportunities and ship them. Owning everything from the automation running behind the scenes to the experiments running live on harvey.ai. It's a rare opportunity to sit at the intersection of engineering and marketing at a category-defining legal AI company.

What You'll Do
  • Own the identification, scoping, and implementation of AI and automation use cases that improve demand generation velocity, campaign operations, pipeline conversion and more.

  • Build and maintain AI workflows from automated content creation to intelligent audience targeting and personalization at scale.

  • Design and deploy automation workflows (e.g., Claude, Clay, n8n, or equivalent) that eliminate manual work across the demand gen stack, integrating with Marketo, Salesforce, web CMS, and digital platforms.

  • Build and run experimentation infrastructure: A/B tests, landing pages, and conversion-flow changes, directly on harvey.ai and campaign surfaces, not just backend automation.

  • Manage the cost and efficiency of automated workflows.

  • Collaborate with Marketing Operations, Content, and Performance Marketing to translate strategic marketing needs into technical solutions.

  • Continuously evaluate emerging AI capabilities, including new models, agent frameworks, and MCP integrations, and prototype applications that give Harvey's marketing team a competitive edge.

What You Have
  • 4+ years of experience in growth engineering, marketing engineering, GTM engineering, or a technical role within a marketing/growth function at a B2B SaaS company.

  • Hands-on experience building with AI — you use tools like Claude Code, Cursor, or equivalent as part of your daily workflow, not just as something you build on top of.

  • Experience working with LLM APIs or AI-powered tools to generate content, automate workflows, or optimize marketing performance.

  • Familiarity with marketing automation platforms (e.g., Marketo, HubSpot), CRMs (e.g., Salesforce), workflow/automation tools (e.g., Clay, n8n, Zapier, Make), and analytics/experimentation tooling (e.g., Amplitude, Mixpanel, Segment, PostHog, GA4).

  • A builder mentality, comfortable operating in ambiguity, shipping iteratively, and taking ownership of 0→1 projects.

  • Strong analytical skills with the ability to design experiments, own attribution, and translate data into decisions.

  • Cross-functional collaboration: work closely with internal teams across data science, marketing operations, performance marketing, product marketing, and sales to ensure campaign success. Drive alignment on priorities and share insights to refine strategies.

Nice to Have
  • Experience with data warehouses/BI tools

  • Strong programming skills

  • Experience building on a marketing site or product surface (landing pages, onboarding, referral or lifecycle systems).

  • Background at a high-growth B2B SaaS or AI-native company.

Compensation

$136,000-204,000 USD

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

#LI-BG1

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]

Skills Required

  • 4+ years of experience in growth engineering, marketing engineering, GTM engineering, or a technical role within a marketing/growth function at a B2B SaaS company
  • Hands-on experience building with AI using tools like Claude Code or Cursor as part of daily workflow
  • Experience working with LLM APIs or AI-powered tools to generate content, automate workflows, or optimize marketing performance
  • Familiarity with marketing automation platforms (e.g., Marketo, HubSpot) and CRMs (e.g., Salesforce)
  • Experience with workflow/automation tools (e.g., Clay, n8n, Zapier, Make) and analytics/experimentation tooling (e.g., Amplitude, Mixpanel, Segment, PostHog, GA4)
  • Builder mentality; comfortable operating in ambiguity, shipping iteratively, and owning 0->1 projects
  • Strong analytical skills with the ability to design experiments, own attribution, and translate data into decisions
  • Cross-functional collaboration experience with data science, marketing operations, performance marketing, product marketing, and sales
  • Experience with data warehouses/BI tools
  • Strong programming skills
  • Experience building on a marketing site or product surface (landing pages, onboarding, referral or lifecycle systems)
  • Background at a high-growth B2B SaaS or AI-native company

Harvey Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvey and has not been reviewed or approved by Harvey.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental health support, and fertility benefits. This breadth indicates robust health protections within the total rewards package.
  • Parental & Family Support Paid parental leave is prominently offered with eligibility starting on day one. Family-building support complements leave policies to support different life stages.
  • Equity Value & Accessibility Equity is routinely positioned alongside competitive cash, with communications emphasizing pre-IPO upside. This signals meaningful access to ownership as part of compensation.

Harvey Insights

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The Company
HQ: San Francisco, California
373 Employees
Year Founded: 2022

What We Do

Harvey is a generative AI company backed by Sequoia and OpenAI's startup fund building the future of professional services.

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