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Harvey

Growth Engineer

San Francisco (Remote)$136k–$204kfulltimemidAdded today

About this role

Harvey is seeking a Growth Engineer to be the first in this role, sitting at the intersection of marketing strategy and AI execution. You'll build AI-powered automation workflows, run experimentation infrastructure, and ship high-leverage systems that drive demand generation, pipeline conversion, and marketing efficiency across their legal AI platform.

What you'll do

  • Identify, scope, and implement AI and automation use cases to improve demand generation, campaign operations, and pipeline conversion
  • Build and maintain AI workflows using tools like Claude, Clay, and n8n integrated with Marketo, Salesforce, and web platforms
  • Design and deploy A/B tests, landing page experiments, and conversion-flow changes on harvey.ai and campaign surfaces
  • Own cost management and efficiency optimization of automated workflows
  • Collaborate with marketing ops, content, and performance marketing teams to translate strategic needs into technical solutions
  • Evaluate emerging AI capabilities and prototype new agent frameworks and integrations for competitive advantage

What they're looking for

  • Growth engineering or marketing engineering (4+ years B2B SaaS experience)
  • LLM APIs and AI-powered tools (Claude, Cursor, content generation, workflow automation)
  • Marketing automation platforms (Marketo, HubSpot) and CRMs (Salesforce)
  • Workflow automation tools (Clay, n8n, Zapier, Make)
  • Analytics and experimentation tools (Amplitude, Mixpanel, Segment, PostHog, GA4)
  • Experimental design, attribution modeling, and data-driven decision making
  • Cross-functional collaboration and 0→1 project ownership
  • Data warehouses, BI tools, and programming skills (nice to have)
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Harvey

Harvey builds an AI-powered legal services platform that automates and streamlines legal workflows for corporate, in-house, transactional, and litigation teams. The company is hiring Legal Engineers with diverse practice backgrounds to bridge customers and product development, uncovering legal workflow challenges and shaping the platform's direction based on real-world legal work.

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Likely interview questions

  • Walk us through a time you shipped an AI or automation workflow end-to-end in a marketing context—what was the impact?
  • How do you approach building and shipping experiments iteratively when requirements are ambiguous?
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