Opportunities in San Francisco, United States

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. 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 What You'll Bring:
• 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 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. Why Opal: 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.