# GTM Engineer at Together AI

- Company: Together AI
- What the company does: Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.
- Company website: https://www.together.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $160K to $190K base salary per year (USD)
- Posted: 2026-07-02
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5178712007
- Page: https://www.1752.vc/careers/jobs/together-ai-gtm-engineer/

## About the role

We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems.

## What they're looking for

- Experience: Have 3–5+ years of experience operating in a Growth, GTM Engineer, or Revenue Operations role. Open to candidates that have a technical background that have worked with a GTM team in other capacities
- Systems Thinking: Are a builder and systems thinker: You want to build moonshot ideas, not just toggle settings. You see the GTM stack as an interconnected machine, not a collection of point solutions
- Salesforce Expertise: Have Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- GTM Fluency: Are GTM-fluent: You understand the GTM funnel - not just the data model, but the logic behind every stage. You know what actually converts pipeline because you've worked in or alongside GTM teams
- Quote to Cash Configurations: Strong working knowledge of quoting tool configurations and CLM (pricing rules, product bundles, approval chains)
- Technical Capability: Are technically capable: Comfortable working with APIs, webhooks, data integrations and can navigate technical documentation without hand-holding

Tags: Revenue Operations