AI and GTM Systems Engineer

We are seeking an AI & GTM Systems Engineer to help modernize, consolidate, and scale the systems that support Marketing and broader go-to-market (GTM) execution. This is a hands-on, builder/operator role within the Marketing organization, focused on moving AI from experimentation into repeatable, governed workflows. The work spans practical AI enablement, GTM systems ownership, workflow automation, API integrations, and internal application support — including consolidating technical ownership across key platforms such as Marketo, Outreach, Marketo Measure / Bizible, Asana, and related Salesforce-connected workflows.

Responsibilities

Partner with Marketing Operations and GTM stakeholders to identify high-friction workflows that can be improved through AI, automation, or better integration; Design, test, document, and support AI-enabled workflows that are practical, repeatable, and governed; Support AI literacy across Marketing, helping end users understand where AI fits and where human review is required; Consolidate technical ownership across core GTM systems including Marketo, Outreach, Marketo Measure / Bizible, Asana, and Salesforce-connected workflows; Support platform governance, documentation, permissions, data hygiene, and operational best practices; Serve as technical owner or co-owner for selected platforms, ensuring proper configuration, maintenance, and continuous improvement; Build, maintain, and improve API integrations between systems such as Marketo, Asana, Snowflake, and other GTM tools; Develop lightweight internal tools, scripts, and automation workflows to reduce manual effort; Support version control, testing, deployment, and ongoing maintenance for internally developed tools

Requirements

At least 4 years’ experience in marketing operations, revenue operations, GTM systems, or a related technical operations field; Hands-on experience administering platforms such as Marketo, Salesforce, Outreach, Marketo Measure / Bizible, or Asana; Experience working with APIs, integrations, data flows, and automation workflows; Familiarity with Python, Flask, SQL, JavaScript, or similar scripting and development tools; Experience with AI-enabled workflows, prompt design, LLM tools, agentic systems, or AI-assisted development; Sound judgment around when to automate, apply AI, improve a process, or require human review

Nice to have

Experience with cloud data platforms (Snowflake, BigQuery) and tools such as Git, VS Code, or Azure DevOps is a plus

Benefits

Competitive compensation package; Short-term variable compensation plan (annual bonus); Subsidized PPO medical benefits including low-deductible Point of Service Plan and High Deductible Health Plan with HSA contribution; 401(k) plan with 4% company match and immediate vesting; Company-paid life and AD&D insurance and disability benefits; Minimum 15 days accrued vacation, up to 3 personal days, 11 annual holidays, 8 hours volunteer time, and 80 hours sick time annually; Up to 16 weeks paid maternity leave and 6 weeks paid parental or adoption leave; Employee Assistance Program, mobile therapy, and volunteer paid time off