About this role
Location: New York, NY
Work Model: In-office
Industry: Cloud cost optimization SaaS
Compensation: $120K-$150K base (plus equity); higher total compensation available if structured with variable pay
About the CompanyOur partner is a fast-growing startup building software that helps companies manage and optimize their cloud costs. The team is small, highly technical, and well-capitalized, with strong early traction and pilots underway with notable customers. As they prepare for a broader launch, they are adding go-to-market talent to help build the engine from the ground up.
The OpportunityThis is a generalist go-to-market seat for a technically minded operator who wants to do more than hit a quota. You will think comprehensively about the company's go-to-market motion, contribute across channels, and help shape strategy as the product scales. Reporting directly to a co-founder, you will have wide latitude to experiment and own outcomes.
Over time, the role can grow in several directions, including a closing role or a broader operational path. The common thread is high slope, technical fluency, and genuine excitement about building go-to-market from the early innings. This is best described as an engineer who is excited about go-to-market, not a go-to-market engineer.
ResponsibilitiesThink comprehensively about go-to-market strategy and help build the motion beyond individual quotasContribute across multiple channels and experiment to find what worksDevelop deep product fluency to sell credibly to technical buyersPartner with marketing on broader initiatives, including launch and campaignsGrow into closing or other paths over time as the role evolvesRequirementsStrong technical foundation, with the ability to quickly understand a product that works across the stack and speak to technical buyersHigh-slope, high-potential operator who wants to build, not just execute a scriptPrior experience in a go-to-market capacityComfort with ambiguity and a desire to own outcomes in an early-stage environmentBonus: a computer science degree or technical background; experience at a database, observability, or infrastructure company; or prior enterprise selling into technical buyers