About the Role:
We're hiring our first GTM Engineer to build and own the systems that drive revenue across Stratus's entire go-to-market motion — sales, marketing, and customer success. This role sits at the intersection of revenue operations, automation, and data, and is responsible for turning GTM strategy into scalable GTM infrastructure. You'll chain automated processes across the full bow tie, build and deploy AI agents and LLM-powered workflows, and connect every system touchpoint, so our GTM strategy executes at scale.
You’ll work directly with the Head of Revenue Operations to take strategic priorities and make them real: designing system architecture, building automation, ensuring clean data flow across every revenue touchpoint, and bringing AI-powered tools into our prospecting and enrichment workflows.
This is not a Salesforce admin role, and it’s not a pure engineering or AI role either. We’re looking for someone who thinks in systems, builds proactively, and cares as much about pipeline mechanics and revenue processes as they do about data models and automation. The right person leads with GTM fluency and brings strong technical skills to bear, not the other way around.
What You’ll Own:
System Architecture and Integration
- Own the technical architecture of our GTM stack: Salesforce, HubSpot, and all connected tools.
- Design and maintain clean data models across accounts, contacts, opportunities, and campaigns.
- Build and manage integrations that connect product data, CRM, marketing automation, and sales and customer engagement into a single coherent system.
Automation and Workflows
- Design and implement lead routing, lifecycle stage automation, enrichment workflows, and follow-up triggers.
- Eliminate manual work for reps and marketing by building automated processes that scale.
- Own campaign infrastructure and attribution so new motions can launch quickly with proper tracking.
Data Integrity and Reporting
- Ensure data is clean, consistent, and trustworthy across all systems.
- Build reporting infrastructure that supports accurate forecasting, attribution, and pipeline analysis.
AI and Account Targeting
- Build and deploy AI agents and workflows that automate work previously done manually — enrichment, prospecting, scoring, account targeting, and CS-driven expansion motions.
- Build workflows that turn enriched data into actionable sales inputs — not just lists, but qualified, prioritized, and routed opportunities.
- Work in tools like Clay and similar platforms that require deeper technical expertise than linking systems with Zapier or native connections — turning enriched data into qualified, prioritized, and routed opportunities across the full revenue lifecycle.
- Stay current on the rapidly evolving AI-for-GTM landscape and bring new capabilities to the team.
What We’re Looking For:
- 3 to 7 years of experience in revenue operations, GTM operations, marketing operations, or a similar systems-focused role in B2B SaaS.
- Strong working knowledge of Salesforce and at least one marketing automation platform (HubSpot strongly preferred). Salesforce admin preferred
- Technical fluency: comfortable with SQL, APIs, integration platforms (ie. Zapier) and troubleshooting system issues. You don’t need to be a software engineer, but you should be able to build real things.
- Experience with or strong interest in AI-powered GTM tools: Clay, Claude, enrichment platforms, intent data providers. You don’t need to be an AI researcher, but you should be comfortable building with these tools, not just curious about them.
- You think in systems and data flow, not just fields and page layouts. You can whiteboard how data moves from first touch to closed-won.
- You understand pipeline mechanics, funnel stages, and what sales, marketing, and CS teams actually need to drive revenue — from first touch through expansion.
- You propose solutions, not wait for tickets. You see a broken process and want to fix it before anyone asks.
- Experience at a high growth-stage company (50 to 500 employees).
What Success Looks Like at Six Months
- Leadership trusts the pipeline and forecast data without manual cross-checks.
- At least two to three major workflows are fully automated and in production.
- AI-powered account targeting or enrichment is live and producing actionable output for sales.
- The Head of RevOps is spending the majority of her time on strategy, not system maintenance.
- The team can go from idea to live GTM experiments in days, not weeks.
Why This Role Matters
Stratus is at an inflection point. We’ve built the revenue motion — now we need the infrastructure to scale it. This role is the bridge between strategy and execution. You’ll have a direct impact on how fast we grow, how confidently we forecast, and how intelligently we target our market.
You won’t be maintaining someone else’s system. You’ll be building ours.
This is a remote role, but candidates must be based in the U.S.