GTM Engineer

Responsibilities

• Build and maintain the technical infrastructure that powers Artemis's GTM motion, including CRM configuration, data pipelines, tool integrations, and internal tooling
• Design and ship AI-driven agents and automations that eliminate manual work across sales, marketing, and customer success
• Own the GTM data layer—connecting product usage, CRM, marketing tools, and external data sources into a clean, queryable system that drives real decisions
• Build enrichment, scoring, and prioritization systems that surface the right accounts and the right signals to the right people at the right time
• Partner with sales to automate outbound workflows, personalization at scale, and pipeline hygiene
• Partner with marketing on attribution, campaign automation, and lead routing infrastructure
• Partner with customer success on health scoring, churn signals, and expansion triggers
• Evaluate, integrate, and manage the GTM tool stack, from CRM and sales engagement to enrichment, intent data, and revenue intelligence
• Build internal tools and dashboards that give the GTM team visibility into what's working and what's not
• Move fast and ship daily, iterate constantly, and treat the GTM system itself as a product

Qualifications

• 3+ years of experience in a role that blends technical work with GTM, revenue operations, or growth, including titles such as GTM Engineer, RevOps Engineer, Growth, Sales Engineer, or Marketing Engineer
• Strong technical fluency, including comfort with AI coding tools, no-code automation, and modern GTM tooling
• Systems thinker with the ability to map data across complex deal cycles and the modern GTM stack
• Fluency with AI-driven workflows, including AI coding tools, prompting, and using AI as a force multiplier, not a demo
• Data instincts, including experience working across warehouses, dbt, or reverse ETL tools (Fivetran, Hightouch, Census, or similar)
• A builder's mindset: you have a strong bias for action. You don’t just diagnose problems, you ship solutions and iterate quickly
• Excellent communicator who can move fluidly between technical decisions and GTM strategy conversations

Nice to Have

• Technical degree or background in computer science, engineering, or a technical field
• Prior experience at an early-stage startup, especially as a founding GTM or RevOps engineer
• Background in cybersecurity or enterprise B2B SaaS
• Experience building custom internal tools or lightweight applications (React, Retool, Streamlit, etc.)
• Experience with cloud infrastructure (AWS, GCP) and data warehouses (Snowflake, BigQuery, ClickHouse)
• Prior work with agentic AI systems, autonomous workflows, or LLM-powered internal tools

Compensation

We offer a competitive compensation of $140,000-$180,000 per year, and a top-of-market equity component. A variety of factors are considered when determining the compensation, including a candidate’s professional experience. Final offer amounts may vary from the amounts listed.