About Oasis Security
At Oasis Security, we're redefining how enterprises manage access in the age of AI. Every organization deploying AI agents is taking on access risks they can't yet see, and the tools they've relied on were never built for this. We built Oasis to change that. Backed by Sequoia, Accel, and Craft Ventures, we're trusted by dozens of Fortune 500 companies including S&P Global, Mars, and Nationwide, and we're only getting started.
Why Oasis, why now
The access management category is being rewritten in real time, and Oasis is leading it. The problems are genuinely hard, the company is growing fast, and you're early enough to shape both the product and the team.
You're joining a team building the automation and data infrastructure behind our GTM motion. As a GTM Engineer, you'll own systems across the full pipeline, acquiring and enriching data, building the signal and automation layer that feeds outreach, and driving pipeline for the entire GTM organization. This is a builder role for someone who likes solving problems with modern AI and automation tools, and who enjoys exploring new ones to find the right solution for each problem.
What you'll own- Build and run the outbound automation stack: signal-triggered outreach automation, automated lead handoff, and multi-channel orchestration across LinkedIn, email, and calls
- Work across the full pipeline: ICP and buying-signal data, enrichment, relevancy and urgency scoring
- Build internal tools that the whole GTM org can use
- Continuously test new tools and data sources to increase velocity
- Measure what you ship: meetings influenced, pipeline sourced, and hours saved
- Monitor how our automations perform: coverage, data freshness and deliverability.
You made the transition into GTM engineering from a demand generation, product management, or data role, and you now think in systems and pipelines. You're experienced with data and SQL, comfortable wiring up and integrating APIs, and you build with Claude Code (or comparable agentic / LLM tooling) as a daily driver. You care about measurable outcomes and data-driven growth
Requirements- 2+ years in GTM engineering or GTM automation, whether formally titled GTM Engineer or in a role with equivalent responsibilities (building and running automated go-to-market processes).
- 2+ years in product management, demand generation, or data-focused work.
- Comfortable building with and integrating APIs.
- Daily, practical use of Claude Code or comparable agentic coding / LLM tooling.
- A track record of automating manual GTM work and shipping things that actually get used by a team.
- Hands-on with SQL and working with data end-to-end
- Experience in cybersecurity, identity security, or another technical B2B category.
- Experience with signal / intent data and trigger-based outbound.
Equal opportunity
Oasis Security is an equal opportunity employer. We are committed to building a workforce that reflects the world we're securing. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, or disability status. Oasis Security does not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Oasis Security.
Oasis Security New York, New York, USA Office
New York, New York, United States
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
