Growth Engineer
Posted 2 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
About Opal:
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 agents. 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.
Amazing product in a hot market, now being built by a team that has seen some of the greatest companies of the last decade. You own the systems layer end to end and build it to last.
The Role:
We're looking for an engineering marketer to own the systems behind Opal's go to market. You'll turn our ICP, scoring, routing, and attribution into documented infrastructure, apply AI where it saves time and resources. It's a builder role with a clear mandate: make the GTM engine faster, cleaner, and built to last.
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Own the ai-native GTM tech stack, from strategy to execution. Starting with the demand gen side and increasing overall productivity
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Codify the ICP scoring into documented, version-controlled infrastructure.
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Deploy AI for enrichment, scoring, routing, and outbound workflows; measure cycle-time and cost impact
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Own AEO technical execution: schema, client-side rendering fixes, crawlability of proof points
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Enforce data hygiene: fix competitor mis-tagging and a source-of-truth model for customer/opp/lost status
What You'll Bring:
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Marketing/RevOps engineer or technical growth marketer: SQL, APIs, automation tooling, not just HubSpot admin
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Built an opinionated attribution or lead-scoring systems
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Hands-on with LLM-based automation and the judgment to tell signal from noise
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Documents and versions their work; allergic to logic living in one person's head
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Reads a schema and a rendering issue as comfortably as a campaign report
You Might Be a Fit If You: 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.