Growth Engineer

Jobtailor; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a growth/marketing engineer to own AI-driven automation across demand generation, campaign ops, and pipeline optimization. You will build AI workflows for content creation and audience targeting at scale, while designing automations that integrate with Marketo, Salesforce, and CMS.

The role requires hands-on AI experience, a builder mindset in ambiguous environments, and strong analytical skills to run experiments and optimize attribution.

Qualifications

• 4+ years in growth engineering, marketing engineering, GTM engineering, or a technical role in a B2B SaaS growth function.
• Hands-on experience building with AI; daily use of Claude Code, Cursor, or equivalent.
• Experience with LLM APIs or AI-powered tools for content, automation, or marketing optimization.
• Familiarity with marketing automation platforms (e.g., Marketo, HubSpot), CRMs (e.g., Salesforce), workflow tools (e.g., Clay, n8n, Zapier) and analytics tooling (GA4, Amplitude, Mixpanel).
• Builder mindset in ambiguous environments; able to ship 0→1 projects.
• Strong analytical skills for experiments, attribution, and data-driven decisions.
• Cross-functional collaboration across data science, marketing ops, performance marketing, product marketing, and sales.

Responsibilities

• Identify, scope, and implement AI/automation use cases to boost demand generation velocity.
• Build and maintain AI workflows for content creation and personalized targeting at scale.
• Design and deploy automations that integrate with Marketo, Salesforce, CMS, and digital platforms.
• Run experimentation infrastructure: A/B tests, landing pages, and conversion-flow changes on Harvey.ai campaigns.
• Manage cost and efficiency of automated workflows.
• Collaborate with Marketing Ops, Content, and Performance Marketing to translate needs into technical solutions.
• Evaluate emerging AI capabilities and prototype MCP integrations for competitive edge.

Job description

Responsibilities

• 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.

Requirements

• 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.

Core Competencies

Demonstrates expertise in AI and automation implementation to enhance demand generation and marketing performance, with a strong focus on building and managing workflows across various platforms. Proficient in data analysis and experimentation to drive strategic marketing decisions and optimize campaign effectiveness.

Tools & Technologies

• Marketo
• Salesforce
• Clay
• N8n
• Zapier
• Amplitude
• Mixpanel
• Segment
• PostHog
• GA4