GTM Engineer

Snorkel AI•Redwood City, CA

10h•$170,000 - $200,000•Remote

About The Position

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role Snorkel’s go-to-market teams are a critical engine behind our growth. We’re looking for a GTM Engineer who will sit at the intersection of business systems, data, automation, and AI to design and build workflows that help Sales, Marketing, Delivery, Applied AI, and Revenue Operations move faster and generate more revenue. You will own the strategy and execution of high-impact automations and AI-enabled workflows across our GTM stack using tools such as Salesforce, Gong, Apollo, Claude, Zapier, Make, n8n, Google Workspace, and other connected business systems. You will also help evaluate and implement new tools, integrations, and lightweight internal applications that improve how we run the business. This is a hands-on builder role for someone who enjoys solving messy operational problems with scalable systems, smart automation, and pragmatic engineering. Your work will accelerate pipeline generation and outreach, improve process efficiency and system quality, and increase productivity across the full revenue lifecycle.

Requirements

4+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles
Strong hands-on experience with Salesforce, including data model, automation, integrations, and system design
Experience building workflows and automations using tools such as Zapier, Make, n8n, Claude Code, OpenAI agent builder, Workato, or similar platforms
Experience building or deploying AI-enabled workflows, copilots, or agents for business teams
Proficiency in Python or JavaScript, with experience building API integrations and lightweight automations
Strong understanding of how GTM teams operate across Sales, Marketing, Delivery, and post-sale workflows
Experience translating business requirements into scalable technical solutions
Strong systems thinking and the ability to balance speed with maintainability
Excellent cross-functional communication and stakeholder management skills
Strong analytical and problem-solving abilities with high attention to detail

Nice To Haves

Familiarity with tools such as Gong, Clay, Snowflake, dbt, or modern enrichment and orchestration platforms
Experience in B2B SaaS, AI/ML, or high-growth technology environments
Familiarity with services-oriented GTM or delivery workflows

Responsibilities

Identify high-leverage opportunities for automation, AI, and systems improvement across GTM workflows, including lead routing, account research, deal support, forecasting workflows, delivery handoffs, and post-sale processes.
Design, build, and maintain automated workflows and AI-enabled processes using a mix of no-code/low-code tools, Salesforce automation, APIs, and code where appropriate.
Build and optimize integrations across Salesforce and connected GTM systems to improve data flow, system reliability, and operational efficiency.
Partner with Sales, Marketing, Delivery, Customer Success, Finance, and RevOps leadership to understand business pain points and translate them into scalable technical solutions.
Develop internal tools, utilities, and lightweight applications that improve how GTM teams access data, execute workflows, and make decisions.
Improve the quality and usability of GTM data by implementing governance, validation, enrichment, and monitoring frameworks across business systems.
Evaluate new vendors, platforms, and AI tooling with a clear build vs. buy mindset.
Ensure systems and workflows are well documented, tested, reliable, and maintainable.
Help define best practices for how Snorkel applies AI within GTM operations, balancing speed, utility, and quality.
Continuously identify opportunities to reduce manual work and increase leverage across the organization.