Senior GTM Engineer

Senior GTM Engineer

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What's the Opportunity?

At Intercom, we're reshaping customer support through the power of AI. Fin, our AI Agent, is already the most advanced in-market, and it's just the beginning. As we scale, we're looking for a GTM Systems Engineer to reimagine how prospects discover, engage, and enter our pipeline with AI at the core.

This role sits at the intersection of GTM operations, AI fluency, and program design. You'll partner closely with Sales, Marketing, RevOps, and our Systems team to prototype, test, and scale AI-driven workflows that improve lead flow, routing, and GTM programs. If you love experimenting with AI, building repeatable processes, and operationalizing wins into the broader stack, this is your kind of role.

What Will I Be Doing?

• Prototype & Experiment: Use LLMs (Gemini, Claygent in Clay, and other AI tools) to quickly design and test workflows that improve inbound lead flow, account targeting, and outbound programs.
• Operationalize Success: Turn prototypes into repeatable processes, either incorporating them into regular ops workflows (e.g. outbound account carving, enrichment, scoring) or working with the Systems team to scale them into infrastructure.
• Enhance GTM Programs: Improve and optimize existing motions in tools like Marketo, LeanData, Clay, Clearbit, and Salesforce by layering AI-driven enrichment, prioritization, and insights.
• Partner Across Teams: Collaborate with AEs, RMs, and cross-functional partners to identify their biggest challenges, then design AI-driven workflows that address those pain points at scale.

What Skills Do I Need?

• 5+ years of experience in GTM systems, marketing/sales ops, or GTM programs in a fast-paced SaaS environment
• Strong grasp of GTM stacks – Salesforce, enrichment tools, lead routing engines, marketing automation platforms
• Experience with Clay required
• Familiarity with LLMs, prompt engineering, and AI-first workflow design (not a researcher, but comfortable applying AI in practice)
• Excellent communication and project management skills – able to translate business needs into workflows and process improvements
• A proactive, experimental mindset – you don't just optimize what exists, you prototype what's possible

Bonus Skills & Attributes

• Prior experience operationalizing AI-driven programs or working closely with AI/Systems teams

Benefits

We are a well-treated bunch with awesome benefits! If there's something important to you that's not on this list, talk to us!

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews - great work is rewarded!
• Flexible paid time off policy
• Paid Parental Leave Program
• 401k plan & match
• In-office bicycle storage
• Fun events for Intercomrades, friends, and family!

*Proof of eligibility to work in the United States is required.

The base salary range for candidates within the San Francisco Bay Area is $166,500-$198,500. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).