GTM Engineer
Together AIUSA3w ago
Engineeringremotecurated-jd
Job description
GTM Engineer at Together AI.
About the role
Together AI is looking for a technical professional to build and maintain our revenue operations infrastructure. You will design an AI-native stack that automates complex workflows and ensures data accuracy across our entire sales funnel.
Key facts
What you'll do
- Construct an AI-native tech stack that integrates various business tools.
- Centralize data flows between CRM systems and data warehouses like Salesforce, Hubspot, Snowflake, Clay, and Claude Cowork.
- Manage data enrichment, deduplication, and synchronization to ensure system reliability.
- Collaborate with leadership to convert GTM strategies into automated playbooks and signal-based workflows.
- Oversee Salesforce CPQ design, including product catalogs, pricing rules, and approval processes.
- Streamline quote-to-order conversions to ensure data flows correctly into billing and ERP systems.
- Establish governance for pricing, discounts, and approvals to maintain compliance.
- Integrate CLM solutions like Ironclad, Conga, or DocuSign CLM with Salesforce to automate contract lifecycles.
- Use APIs, webhooks, and AI agents to automate repetitive tasks such as account research and CRM hygiene.
Requirements
- 3 to 5+ years of experience in GTM Engineering, Revenue Operations, or a similar technical role.
- Deep expertise in the Salesforce data model and CRM configuration.
- Strong understanding of the GTM funnel and the logic required to drive pipeline conversion.
- Proficiency in configuring quoting tools and CLM systems, including product bundles and approval chains.
- Ability to work with APIs, webhooks, and technical documentation independently.
- A builder mindset focused on iterative development and high-ownership execution.
Nice to have
- Background in a fast-paced B2B SaaS or AI startup environment.
- Experience building data warehouses.
- Hands-on history with Clay and Salesforce.
- Experience designing outbound processes and managing data sourcing from multiple providers.
- Ability to aggregate selling signals from diverse data sources into a unified view.
- Technical familiarity with tools such as HubSpot, Gong, Apollo, and Clari.
Skills & tools
- Salesforce (including CPQ/Revenue Cloud)
- HubSpot
- Snowflake
- Clay
- Claude Cowork
- Ironclad, Conga, DocuSign CLM
- Gong, Apollo, Clari
- APIs and webhooks
Practical notes
Compensation is determined based on location, professional level, and specific job-related skills. Together AI is an equal opportunity employer.