Jobs at AllCloud

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.

Manage front-desk and daily office operations, including supplies, vendors, cleaning, catering, kitchen facilities, maintenance, calls, emails, and visitor reception. Support workplace events, create event materials, improve office processes, and maintain a welcoming, professional environment. The role is part-time and on-site three days per week, requiring strong organization, communication in English and Hebrew, multitasking, and Canva or similar design-tool experience.

Manage end-to-end delivery of complex AWS cloud projects and platform integrations for enterprise clients. Responsibilities include requirements analysis, BRD and SOW creation, stakeholder management, budgeting, resource allocation, risk mitigation, compliance coordination, and project health tracking. The role bridges business needs and technical execution in regulated sectors while collaborating with engineering, architecture, security, and compliance teams.

Supports Salesforce professional and managed services sales by prospecting, developing pipeline, assisting with account growth, preparing business reviews, supporting deal scoping and statements of work, maintaining Salesforce CRM data, coordinating with delivery teams, and developing Salesforce channel relationships. The role is designed for an early-career sales professional working under senior Account Executive mentorship.

Designs and implements scalable Salesforce solutions for clients, translates business requirements into technical architectures, leads project planning and estimation, mentors development teams, integrates Salesforce with other systems, resolves technical issues, and applies Salesforce best practices. Requires strong Salesforce architecture, configuration, security, data migration, data modeling, Agile delivery, analytical, problem-solving, communication, and documentation skills.

Generate and qualify sales leads through cold calls, emails, account research, nurturing campaigns, and appointment setting. Present AWS, Salesforce, and AllCloud solutions to prospective executives, maintain leads and opportunities in Salesforce, and collaborate with marketing and account executives on messaging, account strategy, and early deal stages.

Design and develop scalable Python backend services, distributed systems, microservices, event-driven architectures, APIs, and AI-powered workflows. Integrate LLMs using AWS Bedrock, optimize databases and caching, contribute to cloud infrastructure, CI/CD, and observability, and provide technical leadership through architecture, mentoring, and hands-on development.

Lead the design, deployment, and evolution of enterprise AWS cloud environments. Responsibilities include cloud architecture, CI/CD and infrastructure automation, Kubernetes and container orchestration, observability, monitoring, logging, security architecture, complex troubleshooting, root-cause analysis, customer advisory, technical leadership, code reviews, and mentoring DevOps engineers.

Leads the design, development, deployment, and scaling of generative AI platforms and systems. Responsibilities include building Python-based microservices, applying LLM, RAG, fine-tuning, and inference techniques, designing secure APIs, implementing DevOps practices, collaborating with product and business teams, solving complex technical problems, and mentoring engineers.

Leads the architecture, development, and deployment of enterprise machine learning, Generative AI, NLP, and RAG solutions on AWS. Designs scalable MLOps platforms, data pipelines, feature stores, vector search systems, and model monitoring. Advises enterprise customers, leads technical workshops, collaborates with architects and data scientists, and mentors engineers. Requires advanced Python and ML framework expertise, AWS AI/ML services experience, big data and database knowledge, customer-facing leadership, and fluency in Hebrew and English.

Drive revenue for Salesforce implementation services by building pipelines, managing full sales cycles, creating SOWs, and cultivating C-suite relationships. Collaborate with Salesforce account teams, lead cross-functional internal resources, negotiate large contracts, and achieve quota while supporting strategic enterprise transformations.