GTM Engineer

What you’ll do

GTM Systems and Automation

• Design, build, and maintain the automation layer across our full GTM funnel, including enrichment, lead routing, ICP scoring, sequencing architecture, and CRM hygiene.
• Identify and eliminate manual processes across (primarily) Sales and SDR (and to an extent, Marketing) – understanding where reps lose time and building systems that remove the bottleneck.
• Build signal-based prioritization workflows so reps are working from intelligent queues rather than conducting ad hoc research before every call.
• Serve as a technical resource for the GTM organization, helping teams adopt new systems and workflows effectively.

AI-Powered Workflows

• Evaluate and implement AI tools across the revenue organization, establishing the quality standards and QA processes that keep outputs reliable at scale.
• Build AI-assisted automation for the work that consumes the most rep time: account research, prospecting, QBR preparation, and competitive intelligence.
• Own the prompt libraries, iteration cadences, and output standards that determine whether AI-generated content is actually useful in the hands of a seller.

Analytics and Reporting

• Build executive and operational dashboards that give GTM leadership accurate, real-time visibility into funnel performance and the measurable impact of system changes.
• Conduct the analyses that sit under major strategic decisions - conversion rate trends, rep productivity, territory performance, pipeline health - and bring a clear point of view on what the data means and what to do about it.
• Proactively flag patterns and anomalies; we want someone who identifies an issue before leadership has to ask about it.

Cross-Functional Partnership

• Work closely with our Product team to share what you are observing in internal usage patterns and customer workflows: gaps, friction, and use cases that belong in the Product roadmap.
• Partner with Sales, Marketing, and SDR leadership to deeply understand their operational needs and build solutions that get used, not just delivered.
• Own change management when new systems or processes are introduced, including documentation, training, and ensuring adoption actually happens.

Who you are

• 2-4 years of experience in RevOps, Sales Operations, Solutions Engineering, or GTM Engineering at a SaaS company, with specific examples of systems you built, outcomes those systems drove, and how you measured success.
• Strong technical foundation: comfortable with APIs, integrations, basic SQL, and the modern GTM stack (HubSpot, Clay, Nooks, Gong, Apollo, ZoomInfo, Outreach, or equivalents), and fast to ramp on new tools.
• AI fluency in practice: you have used LLMs to build real workflows, not just experiment with them; you understand prompt engineering, know where outputs break down, and have built QA into the systems you ship.
• Sales intuition: you have either worked in a quota-bearing role or alongside reps closely enough to understand where they lose time, where handoffs fail, and what their day-to-day actually looks like, and it shows in what you build.
• Systems thinker: you diagnose root causes rather than symptoms, design solutions that hold up as the team scales, and are the kind of person who catches a data model gap before it becomes a reporting problem.
• Analytical rigor: you can do the data work yourself – write the query, build the model, stress-test the logic – and you translate findings into clear recommendations that leadership can act on.
• Clear, persuasive communicator: you can present complex technical work to GTM leadership concisely and with conviction, push back when something does not make sense, and manage multiple stakeholders across functions simultaneously.
• High ownership in fast-moving environments: you have thrived in a startup or high-growth environment where requirements are not always fully defined, and you bring structure to ambiguous problems rather than waiting for someone else to scope them for you.