The Challenge
Snorkel transforms enterprise data into specialized AI—and they need someone to build the operational engine behind their GTM machine. You'll architect automations and AI workflows that accelerate pipeline, improve efficiency, and unlock revenue across Sales, Marketing, and Delivery.
Your Mission
Map current GTM tech stack pain points across Sales, Marketing, Delivery, and RevOps; prioritize 3-5 high-leverage automation opportunities
Design and deploy 2-3 core workflows (lead routing, account research, deal support) using Salesforce, Zapier/Make/n8n, and Claude
Establish data governance framework for Salesforce and connected systems; audit and clean existing GTM data
Build shared documentation, runbooks, and best practices for GTM automation and AI tool usage across teams
Own end-to-end implementation of 5+ automated workflows spanning lead generation, qualification, delivery handoffs, and post-sale processes
Reduce manual GTM work by 20-30% through smart automation and process redesign; measure and report impact to leadership
Evaluate and recommend new tools/platforms (CRM add-ons, AI agents, integrations) with clear build-vs-buy analysis
Develop 1-2 lightweight internal tools or applications that improve how GTM teams access data and execute decisions
KPIs You'll Own
Manual Hours Saved (Monthly)
Quantify time freed up across Sales, Marketing, Delivery teams from automations you build.
Pipeline Acceleration Metrics
Lead routing time, account research velocity, deal cycle time improvements tied to your workflows.
Data Quality Score
Measure cleanliness, completeness, and currency of GTM data post-governance implementation.
System Uptime & Reliability
Ensure automations and integrations run smoothly; track failures, resolve, and iterate.
Tools & Stack
Your Team
Your Manager
VP of Revenue Operations or VP of GTM (not specified in job)
Current Team
Works cross-functionally with Sales, Marketing, Delivery, Customer Success, Finance, and RevOps leadership
New role
The Package
Salary
$130K-$160K base
Remote
On-site, Redwood City, CA
Benefits & Perks
Company Intelligence
Snorkel helps enterprises transform expert knowledge into specialized AI at scale. Founded as a Stanford AI Lab research project in 2015, they've evolved through the generative AI boom to become a trusted platform for building production-ready custom AI. They work with some of the world's largest organizations across science, finance, media, and more.
Founded
2015
Customers
Enterprise (large organizations across finance, science, media, product)
Culture
Mission-driven; collaborative; pragmatic about balancing speed, utility, and quality
Is This Role For You?
- You've shipped GTM automation, RevOps workflows, or business systems engineering at a B2B SaaS or high-growth company
- You're comfortable with no-code/low-code tools (Zapier, Make, n8n) AND can write code when needed (Python, JavaScript, APIs)
- You thrive solving messy operational problems and love the feedback loop of building tools that people actually use
- You're curious about AI and want to experiment with Claude, agents, and AI-enabled workflows in a real GTM context
- You need a fully remote setup—this is on-site only in Redwood City
- You want to stay in pure data engineering or software engineering; this role requires empathy for business stakeholders and comfort with ambiguity
- You're looking for deep technical depth in a single system; this is intentionally broad and cross-functional
Interview Process
Screening Call
Intro with recruiter; discuss GTM automation background and why you're excited about Snorkel
Technical Interview
Walk through a past GTM automation or workflow you've built; discuss tools, trade-offs, and learnings
Stakeholder Panel
Meet with VP of RevOps and/or Sales/Marketing leaders; discuss pain points and your approach to prioritizing opportunities
Take-Home or Design Challenge
Small project (design a workflow, evaluate a tool, or solve a GTM problem) to see how you think and execute
Interested in this role?
Apply now and hear back within days, not weeks.
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