マーケティング戦略とAI技術を融合させ、自動化システムや実験インフラを構築・運用します。B2B SaaS企業での成長エンジニアリング経験4年以上が必須であり、Claude CodeやCursorなどのAIツールを実務で活用できる能力が求められます。マーケティング自動化プラットフォーム、CRM、分析ツールへの習熟が必要です。マーケティングリーダーシップと連携し、技術的なソリューションを実装する役割を担います。
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. We have 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.
This is the first role of its kind at Harvey — and one of the highest-leverage seats in the company. The Marketing 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.
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.
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.
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.
$136,000-204,000 USD
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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 accommodations@harvey.ai
