Growth Engineer

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.