Top Tech Jobs & Startup Jobs in Israel

Own technical product areas across ingestion, reverse ETL, observability, and cataloging. Translate complex data infrastructure challenges into product priorities, specifications, roadmaps, metrics, and measurable outcomes. Partner closely with engineers, engage customers, manage a remote VP relationship through written communication, prioritize ruthlessly, run feedback loops, and shape product culture. The role requires strong data modeling, database, SQL, and technical product management expertise in a fast-moving startup environment.

Leads a customer-facing technical support organization serving multiple accounts. Responsibilities include managing application engineers, overseeing hardware/software/system integration, resolving complex technical and program issues, scaling support processes, coordinating with Product, R&D, Sales, and Operations, and ensuring customer adoption, satisfaction, and successful delivery of complete solutions.

Own a core Data Security Posture Management product area from strategy and roadmap through engineering delivery, launch, adoption, and customer impact. Partner closely with engineering, customers, and field teams to prioritize capabilities across sensitive-data discovery, scanning, risk assessment, and remediation. Evaluate tradeoffs involving coverage, accuracy, speed, and cost while driving predictable releases. The role requires cybersecurity product expertise or comparable technical depth from sales engineering or solutions architecture, plus strong communication and AI fluency.

Owns global server infrastructure operations, reliability, security, monitoring, automation, storage, backup, identity, and cloud compute. Provides advanced Tier 2-3 troubleshooting across systems, networks, and security; resolves complex incidents; performs root-cause analysis; leads migrations, upgrades, disaster-recovery testing, and infrastructure projects; automates recurring operations; maintains security baselines and compliance controls; and coordinates with cross-functional technical teams.

Build and operate reliable, secure, high-scale cloud infrastructure and deployment systems. Responsibilities include managing AWS environments, Kubernetes and Helm workloads, GitHub Actions CI/CD pipelines, ArgoCD GitOps workflows, infrastructure as code, monitoring, security, incident response, performance optimization, and failover. The role also emphasizes automating repetitive work and applying AI tools, AIOps, and coding assistants to improve developer experience, reliability, troubleshooting, and operational efficiency.

Drives enterprise revenue through new business development, strategic account planning, solution selling, upselling, cross-selling, renewals, and relationship management. Develops sales plans, meets quotas, presents solutions, negotiates contracts, supports business cases, coordinates proposals, participates in client meetings and marketing events, and maintains prospect and client activity in Salesforce.com.

Own the email channel’s revenue contribution, lifecycle and retention strategy, attribution, segmentation, dashboards, deliverability, and automated journeys across multiple SaaS products. Lead churn-prevention and win-back programs, collaborate with Product and Data teams, use behavioral and predictive data for personalization, and manage three email marketing specialists.

Manages full-cycle recruiting for Operations, Engineering, R&D, and other roles across multiple locations. Partners with hiring managers and HR to define requirements, source candidates, build talent pipelines, conduct screenings, coordinate interviews, and manage candidates through hiring stages. Maintains recruiting data in Workday, provides hiring-market insights, delivers a strong candidate experience, and supports talent acquisition process-improvement initiatives.

Own custom recurring data feeds from requirements through delivery and maintenance. Develop methodologies and acceptance criteria, build tested PySpark pipelines on Databricks using Airflow and Terraform, and ensure data quality. Partner with customer-facing teams, Solution Engineers, R&D, and Data Science to deliver reusable data products. Explain statistical concepts and limitations to nontechnical audiences while independently managing cross-team deliverables and deadlines.

Own conversion rate optimization for performance marketing landing pages and the paid on-site funnel. Lead the CRO experimentation roadmap, landing page creation, A/B test design and analysis, funnel KPI optimization, dashboards, conversion signal infrastructure, and cross-functional execution with Marketing, Engineering, Design, and BI. Use quantitative and qualitative insights to identify conversion opportunities and rapidly deliver high-impact experiments.