Go-to-Market Generalist

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 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