The posting
Legacy DLP was built on rigid rules, and security teams pay for it in noise, blind spots and endless investigation work. Jazz replaces that model. A lightweight endpoint agent (less than 1% CPU, no browser extension) captures how data actually moves across an organization, including GenAI prompts, clipboard activity, screenshots and personal cloud uploads. Melody, our Agentic Investigator, then investigates each potentially risky data flow across four dimensions: the data, the systems, the people and the business. Customers get pre-investigated incidents instead of alert queues. In a typical 30-day deployment, Jazz processes 2M signals and surfaces around 80 SOC-ready incidents.
Jazz won the 2026 CrowdStrike / AWS / NVIDIA Startup Nest. We built an AI-native product, and now we are building a company that runs the same way.
As our first AI GTM Engineer, you will make AI part of how every team at Jazz works. You will find where work slows down, design the fix, ship it to production and make sure people actually use it. You will start where Field, Customer Success and Product meet, so that what customers say, what CS sees and what Product builds stay connected, and grow from there to every department. You will work with our Head of AI GTM and with department heads, and every day with leadership and the founders. Each project is measured by its business impact, such as shortening SLA processes.
What You’ll Do:
- Find the opportunities. Sit with Sales, Customer Success, Product, Marketing and G&A, map how work really gets done, and pinpoint where AI and automation will make the biggest difference.
- Run discovery and define the solution: frame the problem, scope what to build and agree on what success looks like before you write the first line of code.
- Build AI workflows, agents and internal tools, ship them to production on containers, and own them end-to-end.
- Connect Field, Customer Success and Product so customer signals, escalations and feature requests reach the right team automatically.
- Set a clear success metric for every project, monitor the analytics, and iterate until the numbers move.
- Enable the people who use what you build: roll it out, train the teams and turn their feedback into the next version.
- Work with department heads, leadership and the founders to prioritize what comes next and show the impact of what shipped.
What We’re Looking For:
- Proven experience writing and shipping production code, including deploying and running services on containers.
- Hands-on knowledge of AI and LLMs, and the judgment to know where they create real value and where they don't.
- The ability to design a discovery process and define a product, from a vague pain point to a clear solution.
- A track record of making things happen. You are pragmatic, you take a doable approach, and you ship.
- Strong relationship-building skills across an organization, and confidence communicating with executives.
- A generalist mindset. You are comfortable moving between business conversations, product thinking and code in the same day.
- Excellent Hebrew and English, written and spoken.
- Experience as a founder or entrepreneur is a strong plus.
Why join Jazz?
- A free hand to build. Bring your own ideas, test new technologies and ship what works. Unlimited tokens!
- Build the role from scratch. You are the first AI GTM Engineer, so the playbook is yours to write, with daily impact alongside leadership and the founders.
- See the business up close. Work on real challenges across every department and be the one who builds the solution.
- AI-native! Our product is built on agentic AI and so is the way we work. Heavy AI use isn't tolerated here, it's the expectation.
- Stage and backing. $61M from Glilot and Team8, out of stealth in March 2026, founded by Unit 81 veterans who have built and scaled security products before. Early enough that ownership is real, funded enough that the runway is too.
- A team worth joining.
Our office is at Sonol Tower in Tel Aviv, next to Carlebach train station.
