# Growth Engineer

**Company:** [Harvey](https://hotfix.jobs/companies/harvey)
**Location:** San Francisco, CA, New York, NY
**Role:** GTM Engineering
**Salary:** $136k – $204k/yr
**Experience:** 4+ years
**Skills:** AI, LLM APIs, Claude, Cursor, Marketo, Salesforce, n8n, Clay, Zapier, Amplitude, Mixpanel, segment, posthog, ga4
**Posted:** 2026-07-16

> Growth Engineer building and shipping AI/automation workflows, experimentation infrastructure, and marketing automations that drive demand generation, personalization, and pipeline conversion at Harvey's legal AI platform. Requires 4+ years growth/marketing engineering experience and hands-on AI tool usage.

## Job Description

## 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.
- 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.
- 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 across data science, marketing operations, performance marketing, product marketing, and sales.

## 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.

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