Go-to-Market Engineer

What you'll tackle

• Design and build the systems, automations, and integrations that enable our GTM teams to work efficiently and consistently.
• Partner closely with Sales, Marketing, Product, and Operations to translate business needs into technical solutions.
• Work across Salesforce, Clay, Dust, HubSpot, Zapier, and Gong, owning the architecture, integrations, and workflows that connect these systems end to end.
• Create scalable data pipelines and unified views that improve GTM visibility, forecasting, and prioritization.
• Develop repeatable, automated processes that reduce manual work and improve accuracy across the customer lifecycle.
• Diagnose system issues, eliminate process bottlenecks, and implement long-term fixes rather than short-term patches.
• Evaluate and implement new tools, ensuring they integrate seamlessly into our broader ecosystem.
• Support experimentation across GTM teams by rapidly building prototypes and iterating based on feedback.

What makes you a great match

• A strategic builder with 5+ years of hands-on experience designing scalable GTM systems within a high-growth startup environment
• A commercial mindset who thinks about the ROI of their work, constantly asking questions like "Does this workflow actually help someone close a deal?"
• An operator who dives into ambiguous problems, rolls up their sleeves, and collaborates closely with cross-functional partners
• A systems thinker who can zoom out to long-term architecture decisions while executing quickly on near-term needs
• Experience building systems and infrastructure with AI that makes the whole team more effective
• A technical problem solver fluent in APIs, automation platforms, relational data structures, and CRM customization
• A clear communicator who can translate between go-to-market teams and technical functions with ease
• A meticulous executor who values accuracy, reliability, and repeatability across all workflows and data pipelines
• An owner-mindset individual who thrives in building from 0→1 and improving from 1→n
• A data-oriented decision-maker who brings analytical rigor to evaluating opportunities, measuring impact, and prioritizing work