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

Originally posted on Himalayas