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 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.
Requirements:
What You'll Bring 3–6+ years in Data Analytics / Product Analytics / Analytics Engineering ( 8200 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
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
What You'll Bring 3–6+ years in Data Analytics / Product Analytics / Analytics Engineering ( 8200 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
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
This position is open to all candidates.
