GTM Engineer
About The Position
The best security and engineering teams use Opal Security, the AI-native access platform, for real-time visibility, policy-as-code, and control over every identity, from employees to service accounts to AI models. Companies like Databricks, Notion, CoreWeave, and Superhuman rely on Opal. Based in San Francisco, we've raised $59M from Greylock, Battery Ventures, and SVCI, and were named to Notable Capital's Rising in Cyber 2026 list by 150 leading CISOs. Our leadership brings deep security pedigree: CEO Howard Ting (previously CEO of Cyberhaven, CMO at Nutanix), CPO Sameer Mehta (Veza, Citrix), and CTO Alex Pien (Meta), among others who've built category-defining products. The Role: Own the ai-native GTM tech stack, from strategy to execution. Starting with the demand gen side and increasing overall productivity Codify the ICP scoring into documented, version-controlled infrastructure. Deploy AI for enrichment, scoring, routing, and outbound workflows; measure cycle-time and cost impact Own AEO technical execution: schema, client-side rendering fixes, crawlability of proof points Enforce data hygiene: fix competitor mis-tagging and a source-of-truth model for customer/opp/lost status
Requirements
- Marketing/RevOps engineer or technical growth marketer: SQL, APIs, automation tooling, not just HubSpot admin
- Built an opinionated attribution or lead-scoring systems
- Hands-on with LLM-based automation and the judgment to tell signal from noise
- Documents and versions their work; allergic to logic living in one person's head
- Reads a schema and a rendering issue as comfortably as a campaign report
Nice To Haves
- Have built GTM systems at an early-stage SaaS company
- Know the Common Room / HockeyStack / RB2B class of tools
- Carry a technical-SEO/AEO background
Responsibilities
- Own the ai-native GTM tech stack, from strategy to execution. Starting with the demand gen side and increasing overall productivity
- Codify the ICP scoring into documented, version-controlled infrastructure.
- Deploy AI for enrichment, scoring, routing, and outbound workflows; measure cycle-time and cost impact
- Own AEO technical execution: schema, client-side rendering fixes, crawlability of proof points
- Enforce data hygiene: fix competitor mis-tagging and a source-of-truth model for customer/opp/lost status
Benefits
- You own the systems layer end to end and build it to last.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
