Associate GTM Engineer

Who You Are

You've spent two or three years making a GTM stack work: Salesforce, a marketing automation platform, the routing and enrichment tools around them. You know where the fragile parts are because you've fixed them before a campaign launch. Now you're done configuring the same thing twice. You've started building with AI, and you've seen that one person with AI resources and a clear problem can ship in a week what used to take a quarter.

You understand marketing, not just the tools marketing uses. You know how a lead becomes an MQL, why attribution breaks, what a campaign needs before it goes live, and why marketers wait on ops for things they should do themselves.

You want to stop being the person who keeps the old system running and become the person who builds the next one. This role is designed for that move.

The Role

As an Associate GTM Engineer, you'll build the AI-native systems that run marketing operations at Justworks, and you'll own the stack those systems sit on. In your first year, that means shipping things like a campaign QA agent that catches broken tracking before launch, an inbound agent behind our website chat and voice bots that qualifies and routes buyers in real time, and self-serve tooling that lets marketers launch campaigns without waiting on ops. You'll work with LLM APIs, MCP, Salesforce and Customer.io APIs, and Snowflake, and every system you build will report its own impact.

You'll report directly to the Director of Revenue Strategy & Operations and work in a pod with Marketing. GTM Engineers will review your code and teach you production standards. We're hiring at the junior end on purpose: we want someone to mentor into one of the strongest GTM engineers in the market. Escalate security or access questions to a GTM Engineer before production.

What You'll Run

• Marketing technology stack: Own the configuration and integration of Salesforce, Customer.io, and the routing and enrichment tools between them. Keep UTMs, conversion events, and campaign records flowing cleanly.
• Lead lifecycle: Maintain intake, enrichment, scoring, routing, and suppression. Implement the MQL rules Marketing defines as monitored logic, and replace manual steps with agents where it makes sense.
• Data integrity: Run audits, deduplication, and field governance. Build automated checks so data problems surface before downstream teams find them.
• Pipeline operations: Run and monitor the agents and automations that move inbound pipeline, and own their uptime the way a product engineer owns a service.

Admin work here is something you engineer away, not a permanent part of the job. If you've done a task by hand twice, the third time should be automated.

Where This Goes

This role is the entry point to our GTM Engineering ladder. The next step is GTM Engineer: you'll own production applications end to end across the full revenue motion, with promotion based on scope of impact.

Qualifications

Required

• 2–3 years in Salesforce administration, marketing operations, business systems, or a related technical GTM role.
• Hands-on Salesforce experience: Flows, validation rules, objects, and campaign structures, and how CRM data drives GTM workflows.
• Marketing operations fluency: lead lifecycle, MQL and routing logic, campaign setup, UTMs and attribution, and consent.
• Evidence that you've built something with AI or code: an agent, an integration, an internal tool, or a script that replaced a manual process. Show us; a GitHub link or demo beats a certification.
• Working ability in Python or JavaScript/TypeScript, plus Git basics. You don't need deep software engineering experience, but you need to read, write, and debug code with AI assistance.
• SQL fundamentals.
• Clear written communication. You can document a system so someone else can run it.

Preferred

• Experience administering Customer.io or a comparable platform (Marketo, HubSpot, Braze, Iterable).
• Experience with LLM APIs, agent frameworks, or MCP.
• Experience with routing and enrichment tools (LeanData, Chili Piper, Clay) or workflow tools (n8n, Zapier).
• Experience with conversational or voice AI products.
• Salesforce Administrator certification.

How We Work: COGIS

• Camaraderie: Work together toward a higher purpose. Listen actively and help others.
• Openness: Share information, consider new possibilities, and stay receptive to feedback.
• Grit: Commit to the work and see it through.
• Integrity: Do what you say and say what you'll do.
• Simplicity: Make things as simple as possible, but no simpler.

The base wage range for this position based in our New York City Office is targeted at $98,000.00 to $122,000.00 per year.  This role is required to work a hybrid schedule including 2 days a week from our office at 55 Water Street, in New York City.