Founding GTM Engineer
A hyper-growth cybersecurity startup redefining security for the AI era. Its AI-native SaaS Security Posture Management (SSPM) platform gives enterprises complete control over their SaaS, identity, and AI attack surface — so they can move fast without compromising security.
About the Role
A forward-thinking GTM Engineer to help architect and scale the future of the company's go-to-market systems, automation, and AI-driven workflows — sitting at the intersection of Revenue Operations, Engineering, AI, Data, and GTM Strategy. You'll step into an existing engagement with a leading GTM engineering agency and take long-term ownership of the infrastructure they build — Clay workflows, inbound routing, account scoring models, signal-based targeting, and outbound automation — maintaining, scaling, and continuously optimizing that foundation as the business grows. This is not a traditional RevOps or Salesforce admin role: it's for someone who thinks like a builder, automates like an engineer, and partners strategically across Sales, Marketing, Customer Success, and Product.
What You'll Own
Own and scale the Clay infrastructure — maintaining, optimizing, and evolving enrichment workflows, signal-based targeting models, and AI-driven outbound automation for scalable GTM execution.
Design, maintain, and enhance signal-based outbound infrastructure: intent signal mapping, account prioritization and scoring, trigger-based sequencing, and intelligent workflow orchestration across the GTM tech stack.
Design and optimize scalable GTM systems and workflows across the customer lifecycle.
Build AI-driven automations that improve efficiency, forecasting, lead management, enrichment, routing, customer engagement, and reporting.
Partner cross-functionally with RevOps, Sales, Marketing, Customer Success, Product, and Engineering.
Evaluate and implement modern GTM technologies, AI tooling, orchestration platforms, and integrations.
Develop intelligent workflows leveraging LLMs, AI agents, enrichment data, and automation platforms.
Improve data quality, governance, and operational visibility across the GTM ecosystem.
Support pipeline management, attribution, forecasting, account prioritization, and operational analytics.
Help define the future AI strategy for GTM operations and revenue infrastructure.
What We're Looking For
3–5 years in RevOps, GTM Systems, Sales Operations, Solutions Engineering, or GTM Engineering roles.
Strong understanding of modern GTM architecture and revenue workflows.
Hands-on experience building and scaling Clay enrichment workflows, waterfall enrichment logic, signal-based targeting models, and outbound automation.
Experience within modern GTM tech ecosystems such as Salesforce, HubSpot, and similar revenue/automation tools.
Experience with automation and integration platforms (Workato, Zapier, Tray, Make, APIs, webhooks).
Familiarity with AI/LLM workflows, prompt engineering, AI agents, and intelligent automation use cases.
Strong analytical and systems-thinking mindset; ability to translate business problems into scalable technical solutions.
SQL, Python, JavaScript, or API experience.
Nice to have
Curiosity around emerging AI technologies and how they transform GTM execution.
Comfort working cross-functionally in a fast-paced startup environment.
Tech Stack
Clay, Salesforce, HubSpot, n8n, Zapier, Make, Workato, Tray, SQL, Python, JavaScript, APIs / Webhooks, LLMs & AI Agents, Signal-based Outbound
Compensation
Base
$150k–$180k
Equity
Equity offered
Also open
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