GTM Engineer
Own the AI-native GTM tech stack at Opal, enhancing productivity and data hygiene in a fast-paced startup environment.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Deploy AI for enrichment, scoring, routing, and outbound workflows.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The GTM Engineer at Opal is responsible for managing the AI-native go-to-market technology stack, focusing on demand generation and productivity enhancement. This role requires expertise in SQL, APIs, and automation tools, along with experience in building lead-scoring systems and applying LLM-based automation. It is well-suited for candidates with a background in marketing or RevOps, particularly those who have developed GTM systems in early-stage SaaS environments. Opal's team is composed of seasoned professionals from top tech companies, contributing to a dynamic and innovative work culture.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Opal's career page.
- Opal has 19 other open roles including Enterprise Account Executive - Southern California, Senior Manager Demand Generation, Senior Field Marketing Manager.
- 5141 active AI/ML roles on Joblaze right now.
- 2270 active SQL roles on Joblaze right now.
- 488 active APIs roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2235 roles). See AI/ML salary trends
Quick facts
- Is the GTM Engineer role remote?
- No — this is an on-site role in San Francisco.
- Where is the role based?
- Opal is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, APIs, SQL, automation tooling.
- What seniority level is this role?
- Opal targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this GTM Engineer role at Opal.
From the original posting
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.