Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time – with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization.

What You'll Do

• Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency
• Define and instrument key product KPIs and dashboards used by engineering, product, and executives
• Build and maintain production-grade data pipelines and models on enterprise-scale telemetry (Databricks/Spark, logs, metrics, traces)
• Run deep-dive analyses and experiments to validate features and uncover optimization opportunities
• Partner with backend/ML engineers to translate complex multi-cloud performance metrics into actionable platform intelligence

What We Offer

• Top-of-market compensation + significant equity (above market standard)
• Direct ownership over core data infrastructure and product KPIs
• Work with founders, engineering leads, and global enterprise customers on mission-critical systems
• Small, high-impact team that values ownership, speed, and technical depth over process

Ready to shape the data engine behind autonomous AI workloads? Hit Apply.

What You'll Bring

• 3–6+ years in Data Analytics / Product Analytics / Analytics Engineering (elite IDF tech/intel unit experience strongly counts)
• Advanced, production-level SQL and strong Python (pandas, numpy; scikit-learn is a plus)
• Proven experience with large-scale datasets, scalable data models, and end-to-end data products in production
• Strong applied statistics, exploratory data analysis, and technical storytelling to non-technical stakeholders
• High ownership mindset and excellent English communication (Hebrew is a plus)

Nice to Have

• Experience with Databricks, Snowflake, Spark, AWS Athena/Glue, dbt, Airflow/Prefect, or Retool
• Background in cloud infra metrics, compute engines, or MLOps/AIOps telemetry
• Prior service in an elite IDF technology/intelligence unit (e.g., 8200, Mamram, Matzpen)
• B.Sc. in CS / IE / Statistics / Math or equivalent