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GTM Engineer
Together AI · San Francisco, United States
About The Role
Join our team as a GTM Engineer, where you will architect an AI-native tech stack, centralize data, maintain data integrity, and turn GTM strategy into scalable systems. You will lead the design of our Salesforce CPQ system, optimize conversions, implement governance, improve deal velocity, integrate CLM tools, and automate bottlenecks. This role requires 3-5+ years of experience in a Growth, GTM Engineer, or Revenue Operations role, with a strong understanding of the GTM funnel and technical familiarity with GTM and automation tools.
- Architect the GTM Tech Stack by building an AI-native tech stack with seamless integrations and centralizing data in CRM and data warehouse.
- Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end.
- Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes.
- Execution & Ownership: Constant iteration: Be a Kaizen methodology champion by building, shipping and iterating fast. You thrive in ambiguity, operate with high ownership, and move fast without waiting for perfect requirements. But you know when to slow down and ensure you’re shipping the highest quality work possible
- 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
- Technical Capability: Are technically capable: Comfortable working with APIs, webhooks, data integrations and can navigate technical documentation without hand-holding
- 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
- Quote to Cash Configurations: Strong working knowledge of quoting tool configurations and CLM (pricing rules, product bundles, approval chains)
- 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
- Prior experience at a fast-moving B2B SaaS / AI startup or strong familiarity with the AI tooling ecosystem
- Prior quoting tool and CLM implementation experience
- Hands-on experience with Salesforce and Clay, bonus points for building data warehouses
- Experience designing enrichment and outbounding process and managing complex data sourcing across multiple providers
- Experience centralizing selling signals from multiple data sources into a single location
- You have technical familiarity with GTM & automation tools (Salesforce, HubSpot, CPQ, Ironclad, Clay, Gong, Apollo, Clari, APIs, webhooks, etc.)
- As our ideal candidate, you will be part engineer, part hacker, with a passion for cybersecurity and a drive to protect our systems from evolving threats
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