GO-TO-MARKET GENERALIST

Location: Remote (United States) Work Model: Remote Industry: Cloud cost optimization SaaS Compensation: $120K-$150K base (plus equity); higher total compensation available if structured with variable pay About the Company Our 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 Opportunity This 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. Responsibilities • Think comprehensively about go-to-market strategy and help build the motion beyond individual quotas • Contribute across multiple channels and experiment to find what works • Develop deep product fluency to sell credibly to technical buyers • Partner with marketing on broader initiatives, including launch and campaigns • Grow into closing or other paths over time as the role evolves Requirements • Strong technical foundation, with the ability to quickly understand a product that works across the stack and speak to technical buyers • High-slope, high-potential operator who wants to build, not just execute a script • Prior experience in a go-to-market capacity • Comfort with ambiguity and a desire to own outcomes in an early-stage environment • Bonus: a computer science degree or technical background; experience at a database, observability, or infrastructure company; or prior enterprise selling into technical buyers