Zipher is pioneering the Autonomous Execution Layer for Cloud Data & AI Workloads. Our platform dynamically orchestrates clusters, predicts workload bottlenecks, scales resources in real time, and auto-heals infrastructure anomalies for data-intensive and agentic workloads—with zero human intervention. Operating in live production across global enterprise customers, Zipher delivers mission-critical resilience, sub-second optimization, and true zero-touch infrastructure.

Why Join Us

• Scale-Up Velocity, Core Team Ownership: Backed by top-tier VCs, scaling fast, and running live in Fortune 500 & enterprise production environments, we combine scale-up stability with the high impact, rapid iteration, and meaningful equity upside of an elite core team.
• Deep Tech & AI-Native Culture: We solve the hardest cloud infrastructure and telemetry challenges. You won’t just build dashboards—you will own production-grade data products and drive the core intelligence powering our autonomous engine.

Key Responsibilities

• Dive deep into massive enterprise-scale telemetry and workload datasets to uncover patterns, optimize cloud execution, and steer core product decisions.
• Design, build, and maintain production-grade data pipelines, analytics models, and internal platforms supporting real-time autonomous systems.
• Partner directly with engineering and leadership to translate complex multi-cloud performance metrics into actionable platform intelligence.
• Develop robust data modeling frameworks, statistical analyses, and high-impact visual interfaces to measure system efficiency and model accuracy.

What We Offer

• Top-of-Market Compensation: Highly competitive base salary benchmarking top-tier startup talent.
• Significant Equity: Meaningful early-stage equity grants positioned above market standard.
• Pure Technical Impact: High agency, zero bureaucracy, and direct ownership over core data infrastructure.

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

Requirements

• 3+ years of hands-on experience in Data Analytics / Product Analytics (relevant elite military tech unit experience strongly counts).
• Advanced, production-level SQL and strong scripting/analytical capabilities in Python.
• Proven track record of working with large-scale datasets, building scalable data models, and delivering end-to-end data products.
• Strong background in applied statistics, exploratory data analysis, and technical storytelling.
• Sharp analytical mindset with high ownership, speed of execution, and problem-solving drive.

Preferred Qualifications

• Prior service in an elite IDF technology/intelligence unit (e.g., 8200, Mamram, Matzpen).
• Hands-on experience with modern Big Data & Cloud ecosystems: Databricks, Snowflake, Apache Spark, AWS Athena, dbt, or Retool.
• Deep understanding of cloud infrastructure metrics, compute engines, or MLOps/AIOps telemetry.
• B.Sc. in a STEM field (Computer Science, Industrial Engineering, Statistics, Mathematics, or equivalent).