Marketing Engineer
harvey
Job Score
80 ptsWhy Harvey
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.
Role Overview
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.
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 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.
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
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-BG1
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
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Office Suite
Proficiency in Office Suite is an essential skill for professionals across various areas. Microsoft Excel, Word, PowerPoint, and Outlook are fundamental tools in the corporate day-to-day, while Google Workspace and other collaborative solutions are gaining increasing space.
Key skills include advanced Excel (formulas, pivot tables, Power Query, VBA/Macros), Word (formatting, mail merge, styles), PowerPoint (presentation design, animations), Outlook (email and calendar management), and collaborative tools like Google Sheets, Notion, and Airtable.
Professionals with advanced Office Suite proficiency are valued in administrative, financial, data, and operational areas. Microsoft Office Specialist (MOS) certifications are important differentiators. The combination of advanced Excel with data analysis skills is one of the most in-demand competencies in the market.
About Tech Recruiter
The Tech Recruiter is a professional specialized in recruiting technology talent, from developers to AI engineers and DevOps professionals. They combine technical knowledge with recruitment skills to evaluate and attract highly qualified candidates.
Key skills include technical screening, analysis of technical profiles (GitHub, portfolios, blogs), knowledge of software stacks and architectures, networking in tech communities and events. Proficiency with tools like LinkedIn Recruiter, Gem, Ashby, and technical assessment platforms is a differentiator.
Tech Recruiters are scarce and highly paid professionals, especially those who can map and access passive talent in competitive markets like AI, data engineering, and cloud computing.
About Automation Engineer
The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.
Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.
Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.
About Traffic Analyst
The Traffic Analyst (paid media/performance specialist) is the professional responsible for creating, managing, and optimizing sponsored ad campaigns on digital platforms such as Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. They monitor conversion metrics, analyze return on investment (ROAS), perform A/B testing on ads and landing pages, and manage the marketing budget to maximize lead generation and qualified sales.
Comments 0