Jazz is a fast-growing cybersecurity startup rebuilding data loss prevention for the AI era. Legacy DLP sees files and rules; we see intent, a forensic endpoint agent plus an agentic investigator that learns how a business actually works and judges risk in context.
We are small enough that the work you own is visible, and far enough along that it matters at scale.
About the role
Our data function is being built from scratch. We are looking for the person who will stand up Jazz's data platform end to end - ingestion, modeling, warehouse, orchestration, cost control - and then turn it into the numbers the company actually runs on: the executive metric set, the GTM and pipeline view, and delivery reporting for R&D.
Owning the platform is a huge part of this role, but success is about more than just keeping pipelines green. You'll partner directly with execs, R&D, and sales to agree on core metric definitions, then make sure everyone across the company can easily get the data they need on their own.
What you'll do
- Build the platform from zero. Design and implement the databases, ELT/ETL pipelines and orchestration on a medallion architecture that other people can safely build on top of.
- Own the gold layer as the single source of truth. Modeled, tested, documented and trusted, the layer the company argues from, not about.
- Define the company's metrics. Work with leadership to define organizational KPIs, instrument them, and keep the definitions honest as the business changes.
- Build dashboards that executives actually use. Take complex, multi-source data and make it legible to a C-level reader in thirty seconds.
- Serve every BI consumer at Jazz. Sales and GTM (pipeline, funnel, forecast, Salesforce data), R&D (delivery, quality, product usage), Finance and Operations.
- Run it in production, at scale. Reliability, data quality, alerting and monitoring, including active tracking and reduction of infrastructure and warehouse costs.
- Set the standards. Modeling conventions, testing, documentation, access control, and how BI requests get intake and prioritized.
- Make things happen across the org. Present, persuade, and drive alignment between stakeholders who define the same metric three different ways.
- Work with AI as a multiplier. We expect heavy, deliberate use of AI in how you build, model, investigate and enable others.
What you need to have
- 5+ years in BI, analytics engineering, or data engineering, including at least one role where you built the data stack from scratch and grew it as the company grew.
- Experience at a company with large and complex data volumes.
- Expert-level SQL and Python, plus hands-on Spark in production.
- Proven experience designing and building a medallion-architecture warehouse, when you shaped the layers, not just wrote models inside someone else's design.
- DBT and Databricks (or an equivalent lakehouse + transformation framework) in production.
- A track record of dashboards used by C-level stakeholders. You can point to a specific executive view you built and the decisions it changed.
- Experience defining organizational metrics and securing cross-functional agreement on them.
- Hands-on experience with Salesforce data - the object model, its quirks, and how to model it reliably.
- Ownership of production data infrastructure at scale, including cost monitoring and optimization.
- Strong presenter and communicator. You can hold a room of executives, bring a debate to a decision, and bridge between stakeholders who disagree.
- Fluent in English and Hebrew.
Why join Jazz?
- You're the architect, not the maintainer. There is no legacy warehouse to inherit and no one else's conventions to work around. The decisions you make in your first six months are the ones Jazz lives with.
- Real data volume from day one. A forensic endpoint agent across enterprise fleets produces serious telemetry. This is a scale and cost problem worth solving, not a dashboard job with a data title.
- Proximity to the decisions. Your dashboards are the ones the exec team opens on Monday morning. You'll sit in the room where the metric gets defined, not receive the definition by email.
- 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.