Directeam

Description Directeam helps startups scale on AWS efficiently, and increasingly helps them build with AI. As an AWS Premier Partner and an Anthropic partner, we combine our flagship automated savings engine, Sombrero Savings, with our latest breakthrough: a Real-Time AI FinOps Agent. We don't just manage costs, we provide a strategic advantage that converts cloud waste into business runway. Our AI-backed service has already been adopted across our client base, delivering an average monthly cost reduction of more than 30%. We are bootstrapped, profitable and growing fast, and we work with leading Israeli tech companies across cyber, fintech, sports-tech, AI and SaaS, from pre-seed to growth stage. We're looking for a Senior Solutions Architect (AI-Native Cloud) to be the trusted technical advisor for a portfolio of startups: designing their cloud and AI architectures, helping them run those architectures reliably and cost-efficiently, and putting generative AI and agents into production, not just into demos. About 80% of the role is customer-facing. This is a hands-on role working alongside a small team of senior architects, our Account Managers, and AWS and Anthropic field teams. What You'll Do • Own the technical relationship with your customers. Lead discovery and architecture review sessions, turn business goals into concrete AWS designs, and act as the escalation point for their hardest production problems. • Design and build cloud-native architectures, from greenfield to modernization, that are highly available, secure and cost-effective, using the AWS Well-Architected Framework, including the Generative AI Lens. • Architect GenAI and agentic solutions on AWS: RAG and knowledge systems, AI agents and multi-agent workflows, and LLM-powered product features, using building blocks such as Amazon Bedrock (including Claude models), Bedrock AgentCore, Knowledge Bases and Guardrails, vector stores (OpenSearch, pgvector, S3 Vectors) and MCP-based tool integrations. • Take AI from POC to production. Define evaluation, observability, security and governance for LLM workloads (prompt-injection risk, data privacy, IAM and least privilege for agents), and keep inference cost and latency under control. • Bring the FinOps mindset to everything, including AI. Run cost-optimization sessions, right-size compute and inference (model selection, prompt caching, batch, provisioned throughput), and connect customers to Sombrero Savings and our AI FinOps Agent. • Work AI-native yourself. Use AI coding and agent tools such as Claude Code, Kiro or Amazon Q Developer to speed up IaC, reviews, migrations, troubleshooting and documentation, and help customers' engineering teams adopt the same practices. • Write SOWs and plans that hold up. Scope work realistically, separate what matters from what doesn't (80/20), and hand over cleanly to delivery teams. • Drive growth with the account team. Spot opportunities proactively, including AI use cases, modernization, migration and AWS funding programs, before the customer has to ask. • Build thought leadership. Write blogs, run workshops, webinars, meetups and hands-on AI enablement sessions, and turn repeated field solutions into reusable playbooks, Terraform modules and reference architectures. • Feed the product. Bring field insight back into our FinOps products and internal AI tooling, and influence how they evolve. Requirements • 5+ years with cloud technologies, including 3+ years designing and running production systems on AWS. • 3+ years as a tech lead or architect for large-scale, production-grade products, ideally in a customer-facing role (Solutions Architect, Cloud Architect, consulting). • Proven expertise in designing, analyzing and troubleshooting large-scale distributed systems, including networking, security best practices and Linux. • Hands-on GenAI experience on AWS: you have built at least one LLM-based solution that reached real users (RAG, agent or AI feature), preferably with Amazon Bedrock, and you understand its architecture, cost and failure modes. • Working knowledge of agentic patterns: tool use and function calling, MCP, orchestration, memory, guardrails and evaluation. • Software development skills in Python and/or TypeScript, Go or Java. Read and write code, not only diagrams. • Infrastructure as Code (Terraform or CDK) and CI/CD. • Daily use of AI-assisted development tools (e.g. Claude Code, Kiro, Cursor, Amazon Q Developer), with good judgment about when to trust them. • Excellent verbal and written communication in Hebrew and English. Advantages • Kubernetes / EKS and its ecosystem (Karpenter, KEDA, ArgoCD), and serverless architectures. • Data platforms and databases (SQL, NoSQL, data lakes; Glue, Athena, Redshift, OpenSearch). • FinOps experience: CUR analysis, Savings Plans / RIs, cost-aware architecture, AI inference cost modeling. • Amazon SageMaker, model fine-tuning, or self-hosted open-source models on GPU (vLLM, Inferentia/Trainium). • AI observability and evaluation tools (e.g. Langfuse, LangSmith, Bedrock evaluations) and agent frameworks (Strands Agents, LangGraph, Claude Agent SDK). • Certifications: AWS Solutions Architect Professional, AWS Machine Learning / AI Practitioner, Claude Certified Architect. • Experience designing SaaS / multi-tenant platforms, and a good understanding of the startup ecosystem. Our office is located at Beit Geibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

Description Directeam empowers startups to scale AWS efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest breakthrough: a Real-Time AI FinOps Agent. As a top-tier AI-Native AWS Partner, we don’t just manage costs, we turn cloud waste into business runway. Our AI-backed service is already live across our client base, cutting monthly cloud costs by an average of over 30%. This is what makes us the category leader in cloud optimization, and we’re just getting started. We’re looking for an Assistant Controller to be the right hand of our VP Finance. You’ll run the day-to-day finance operations of a fast-growing company: month-end close, expense control, collections and vendor payments. You’ll also use AI tools to build and automate the processes around them. This is a hands-on role with real ownership, where your work directly shapes how the business runs and your path toward Controller is built into the job. What You’ll Do • Support and run the month-end close, including journal entries, reconciliations and accruals. • Control expenses, monitor actuals against budget and flag deviations early. • Track open invoices, follow up with customers and report aging. • Manage the vendor payment cycle end to end. • Perform compliance controls and make sure documentation is in order. • Ensure data accuracy across billing, bookkeeping and finance systems. • Spot inefficiencies, then build and automate processes using AI tools instead of repeating manual work. • Work closely with the VP Finance, Bookkeeper, Billing Operations and other teams across the company. Requirements • Licensed CPA (internship completed). • Up to 2 years of experience in a CPA firm or a hi-tech company. • Hands-on experience with month-end close. • Excellent English, written and spoken. • Proficiency in Google Workspace. • Ability to build and improve processes using AI. • Precise and detail-oriented, with accuracy in data validation. • Independent and proactive, with a habit of improving things before anyone asks. • Strong interpersonal skills. • Works well under pressure: a fast, self-driven learner. Advantages • Big 4 background. • Familiarity with Priority ERP. • Creative approach to problem solving. Our office is located at Beit Gibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

Description Directeam empowers startups to scale their AWS infrastructure efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest innovation: a real-time, AI-powered FinOps, SRE, and cloud architecture platform designed to help engineering teams analyze, investigate, and optimize their AWS environments. As a premier AI-native AWS Partner, we go beyond simple cost management. We provide a strategic advantage that converts cloud inefficiency into business runway. Our solutions deliver significant market impact. Our AI-driven services have been widely adopted across our client base, achieving an average monthly cost reduction of over 30% and positioning us as a leader in cloud optimization. The Head of Operations serves as the CEO’s primary execution partner. This role is responsible for transforming company strategy into measurable execution, ensuring accountability across departments, and building the operating system that enables scale. The role owns company-wide execution, strategic initiatives, operational excellence, and cross-functional alignment. Requirements • Build & Manage the Operating System: Design and scale the company’s operational framework to support rapid organizational maturity. • Drive Strategic Execution & Alignment: Turn high-level strategy into flawless execution while building cross-functional accountability across departments. • Embed AI-Driven Efficiency: Champion an AI-first internal culture, integrating advanced AI tools and automated workflows to eliminate manual operational overhead. • Own Metric Frameworks: Design and institutionalize company-wide KPI and OKR systems to drive data-backed decision-making. • Provide Executive Leverage: Establish rigorous reporting protocols and business reviews to optimize executive bandwidth. • Lead Special Initiatives: Spearhead high-stakes, cross-functional projects directly alongside the CEO. What We’re Looking For • 7+ years in Operations, Strategy, Consulting, or Business Leadership; 3+ years leading high-impact, cross-functional initiatives. • Proven track record working directly with Founders/CEOs as a trusted execution partner. • Demonstrated success scaling organizations and building lean processes from the ground up. • Practical experience identifying and integrating generative AI platforms and automation tools to optimize workflows. • Bachelor’s degree in Business, Engineering, Economics, Finance, Law, or Computer Science. An MBA is highly advantageous. Must-Haves • Strategic Planning, KPI/OKR Design, Process Automation, Financial Acumen, and Data Analysis. • An innate drive to leverage AI and technology to replace manual effort. • Extreme ownership, high urgency, executive presence, and the ability to simplify chaos. • Native or entirely fluent English (written and verbal). Advantages • Experience within the AWS ecosystem, FinOps, or high-growth SaaS startups. • Professional background in Tier-1 management consulting. • Hands-on proficiency with HubSpot and Business Intelligence (BI) tools. Our office is located at Beit Gibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

Description Directeam empowers startups to scale their AWS infrastructure efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest innovation: a real-time, AI-powered FinOps, SRE, and cloud architecture platform designed to help engineering teams analyze, investigate, and optimize their AWS environments. As a premier AI-native AWS Partner, we go beyond simple cost management. We provide a strategic advantage that converts cloud inefficiency into business runway. Our solutions deliver significant market impact. Our AI-driven services have been widely adopted across our client base, achieving an average monthly cost reduction of over 30% and positioning us as a leader in cloud optimization. The Role We are seeking a Senior Agentic AI Engineer (AWS/DevOps) with extensive hands-on AWS and DevOps expertise to translate cloud operational excellence into a robust production product. In this role, you will develop the backend systems and agentic workflows that analyze cloud costs, reliability, security, logs, and architectural risks. While prior GenAI experience is an advantage, we prioritize strong cloud judgment, backend engineering excellence, and the curiosity to build agentic systems from the ground up. Requirements • Architect and build the agentic systems powering our FinOps, SRE, and cloud architecture solutions. • Design and implement agents capable of investigating AWS environments, complex cloud data, and delivering insights. • Encode deep AWS operational expertise, spanning IAM, networking, and management into agent tools, decision logic, and retrieval systems. • Develop the backend platform to support production-grade agents, focusing on AWS integrations. • Iteratively improve agent performance based on production feedback, analysis, and customer usage patterns. • Maintain full ownership of the product lifecycle, from initial design through deployment and long-term iteration. • Collaborate with product and engineering teams to transform real-world cloud challenges into dependable, automated capabilities. What we’re looking for Must have • 7+ years of hands-on AWS or DevOps experience in production-scale environments. • 2+ years of backend development experience, with a proven track record of building and operating production systems. • Deep technical proficiency in AWS services, cloud networking, and security best practices. • Strong backend engineering skills, ideally with Python and native AWS services. • Experience architecting APIs, asynchronous jobs, and complex data-processing workflows. • Proficiency in designing for resilience, including observability, and robust error handling. • Ownership mindset with the ability to navigate and drive customer outcomes. • Excellent communication skills and a collaborative approach to problem-solving. Nice to have • Experience building GenAI applications, LLM workflows, RAG systems, or evaluation pipelines. • Familiarity with tool calling, agent orchestration, and prompt engineering. • Proficiency with Infrastructure as Code (Terraform), CI/CD, and Kubernetes. • Background in cloud cost optimization, SRE practices, or security automation. • Experience thriving in high-growth startup environments. • Degree in Computer Science or equivalent practical engineering experience. Location: Beit Gibor Sport Tower, Ramat Gan (near Tel Aviv Savidor Central Station).