Posted 23 days ago
Go-to-Market Generalist
AI Summary
A technically fluent go-to-market generalist who helps build and shape early GTM strategy, experiments across channels, sells to technical buyers, and owns outcomes while working closely with product and marketing.
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 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
