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GTM Engineer

Together AI· Revenue Operations
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Hybrid (San Francisco, CA)$160k - $190kfull-timePosted 3mo ago

About the role

GTM Engineer responsible for architecting an AI-native GTM tech stack, automating GTM processes, maintaining data integrity, and translating GTM strategy into scalable systems including CPQ, CLM integration, and data centralization.

Responsibilities

  • Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations.
  • Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork).
  • Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end.
  • Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes.
  • Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows.
  • Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems.
  • Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity.
  • Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud).
  • Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows.
  • Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents.

Qualifications

  • 3–5+ years of experience operating in a Growth, GTM Engineer, or Revenue Operations role (or technical background with GTM exposure).
  • Direct experience with Salesforce – data model familiarity, built on it, and comfortable owning CRM-level changes.
  • GTM fluency: understanding the GTM funnel, not just the data model, and knowledge of what converts pipeline.
  • Strong working knowledge of quoting tool configurations and CLM (pricing rules, product bundles, approval chains).
  • Execution & Ownership: Kaizen mindset, fast shipping with high quality, able to operate in ambiguity.

Skills

Required:SalesforceCPQCLMAPIs & WebhooksData Modeling & ETL
Nice to have:Automation & AIJetBrains / Kaizen

Benefits

  • competitive compensation
  • startup equity
  • health insurance
  • other benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

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