Top Tech Jobs & Startup Jobs

Own the full enterprise sales cycle for complex Salesforce cloud, professional services, and managed services deals in Israel. Develop account strategies, advise C-suite stakeholders, lead cross-functional teams, negotiate contracts, and drive account expansion, upsell, and cross-sell opportunities. Build long-term executive relationships and achieve sales targets using structured methodologies such as MEDDPICC or Challenger.

Designs, develops, deploys, and optimizes large-scale data pipelines for data warehouse and AI projects. Responsibilities include ingesting high-volume data, analyzing data with Data Scientists, and implementing solutions across cloud and on-premise environments using Python, Spark, dbt, AWS services, and container platforms.

Lead the architecture and implementation of an enterprise data warehouse in AWS. Design scalable data platforms, pipelines, data lakes, and analytical structures using AWS services, Python, Spark, Airflow, Parquet, and Iceberg. Provide technical leadership to data engineers, define technology roadmaps, and collaborate with development, data science, and business teams to support BI, AI, and generative AI initiatives.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Leads global marketing execution across regions, driving demand generation, pipeline contribution, go-to-market programs, partner marketing, and brand consistency. Manages and mentors regional marketing directors, coordinates campaigns with sales and alliance teams, oversees AWS, Salesforce, Anthropic, and other partner programs, and reports execution performance to executive leadership. The role emphasizes hands-on operational discipline, campaign delivery, event support, budget tracking, regional alignment, and measurable marketing results.

Design and build cloud-native data platforms, lakehouse architectures, ETL/ELT pipelines, streaming systems, and data services on AWS. Develop data warehouse and real-time pipeline solutions, support AI features such as RAG and vector search, and contribute to modernization projects. Collaborate with customers and internal teams on technical designs, troubleshooting, code reviews, performance tuning, governance, monitoring, and production support.

Build, deploy, maintain, and evolve AWS cloud environments for customers. Develop infrastructure automation, implement advanced cloud services, configure monitoring and logging, troubleshoot technical issues, and support secure, scalable production environments. The role involves customer collaboration, container platforms, CI/CD, Infrastructure as Code, serverless architectures, Linux systems, networking, and security technologies. Fluency in Hebrew and English and strong customer-facing communication are required.

Build and operate AWS-based machine learning systems, data lakes, ETL pipelines, and large-scale data architectures. Optimize databases, data ingestion, processing, storage, and retrieval across structured and unstructured data. Develop and deploy ML models using Jupyter and AWS AI/ML services, support cloud migrations, address security and performance issues, and collaborate with customers, architects, project managers, data scientists, and technical teams.

Develop and maintain Python backend services and APIs using AWS. Design event-driven workflows with Step Functions, integrate LLMs through AWS Bedrock, and build scalable, highly available systems. Work with microservices, Docker, Kubernetes/EKS, Kafka, databases, observability tools, and RAG frameworks. Collaborate with product, frontend, and data teams to deliver AI-powered solutions, including complex workflows that combine structured logic with LLM reasoning for enterprise and regulated-industry environments.

Own the full AWS services sales lifecycle, including high-velocity prospecting, opportunity development, customer engagement, negotiation, and closing. Build relationships with end-buyers and C-suite decision-makers across virtual and face-to-face environments. Manage complex opportunities for mid-market and startup customers while meeting or exceeding monthly and quarterly sales goals.