GTM Engineer

Redwood City, CA (Hybrid)

$170K/yr – $200K/yrMid Level4+ years expFull time

Posted 4 months ago

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Job Summary

Drive automation and AI-enabled GTM operations at Snorkel across sales, marketing, and post-sale workflows.

  • Own end-to-end automation and AI-enabled GTM workflows across processes.
  • Must-have: 4+ years in GTM Engineering or Revenue Ops with Salesforce.
  • Standout: Experience deploying AI copilots or agents for business teams.

Job Description

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 workloads, 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.

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

Preferred

  • 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
Snorkel AI logo

Snorkel AI

4.4 Glassdoor

Snorkel AI is building the data layer for specialized AI, enabling frontier labs, enterprises, and government agencies to develop AI tailored to their unique workloads. Born from pioneering research at the Stanford AI Lab, Snorkel combines cutting-edge programmatic data development technology with deep domain expertise to accelerate AI from prototype to production.Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners, and funds and accounts managed by BlackRock, Snorkel AI is headquartered in Redwood City, California.Learn more at snorkel.ai or follow @SnorkelAI.

Founded in 2019
Redwood City, California, USA
784 employees (287 in marketing)
92% recommend to a friend
91% CEO approval

Traffic Signals

Monthly Visitors
91.4K
Monthly Google Ads Budget
$74
Traffic Source Mix
Search
44.6%
Direct
43.1%
Referral
7.3%
Social
4%
Paid
0.7%

Headcount Trend

Current headcount: ~789

Marketing Team

Marketing Team Size
279 (36% of company)

Funding

Total Funding
$235.3M
Last Raise
$100M
Series Unknown, 7 months ago

Funding History

  • Aug 2025
    Series Unknown
  • May 2025
    Series D • $100M
  • Jan 2024
    Series Unknown

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