Role OverviewThis 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 01 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
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