MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. As the AI GTM Engineer, you will build and scale the technical foundation behind MaintainX’s acquisition engine, partnering with marketers to design and launch AI-powered campaigns and systems. This role is critical for embedding AI into marketing workflows and enabling data-driven experimentation across various marketing channels.
Responsibilities:
- Partner with Marketing to Build & Launch Campaigns
- Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
- Translate campaign ideas into scalable systems, automations, and experiments
- Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
- Build Systems That Power Campaign Execution
- Develop tooling for programmatic landing pages, ad creative generation, and email workflows
- Enable marketers to launch campaigns faster through reusable systems and automation
- Balance speed (quick tests) with scalability (systems that can be reused)
- Embed AI into Marketing Workflows
- Partner with marketers to identify high-leverage use cases for AI in campaigns
- Build and deploy AI-driven systems for:
- Creative generation and testing
- Personalization across channels
- Outbound messaging and sequencing
- Turn one-off experiments into repeatable campaign infrastructure
- Own Experimentation with Marketing
- Co-design and implement experiments across paid, SEO, lifecycle, and web
- Build tooling to track performance, attribution, and testing outcomes
- Enable faster, data-driven iteration across campaigns
- Audience, Segmentation & Personalization
- Partner with marketers to define target audiences and ICP segments
- Build systems to dynamically segment, enrich, and activate audiences across channels
- Enable real-time personalization across the funnel
- Marketing Data & Performance
- Ensure clean data flows from marketing channels into CRM and analytics systems
- Build dashboards and reporting layers for campaign performance and funnel metrics
- Improve visibility into CAC, conversion rates, and pipeline generation
Requirements:
- 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition
- Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation
- Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools
- Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment)
- Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound)
- Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks
- Strong analytical skills with experience in testing, attribution, and performance measurement
- Strong programming ability (Python, JavaScript, or similar)
- Experience working with APIs, automation frameworks, and event-driven systems
- Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
- Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc
- Experience deploying AI/LLM workflows into production
- Experience working closely with marketing teams to build and launch campaigns
- Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
- Experience building systems that directly support campaign execution and optimization
- Thinks like a marketer, builds like an engineer
- Optimizes for speed, iteration, and measurable impact
- Focused on pipeline and revenue outcomes, not just outputs
- Defaults to automation and scalable systems over manual work