Key job responsibilities
– Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
– Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
– Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
– Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
– Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
– Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
– Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
– Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
– Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.
Basic Qualifications
– 10+ years of experience in technical roles involving distributed systems, cloud architecture, software development, infrastructure/platform engineering, Data & Analytics, or AI / ML.
– Experience in a customer-facing technical role such as technical account manager, solutions architect, consultant, or support engineer.
– Experience with operational parameters and troubleshooting for a combination of the following: compute, storage, networking, databases, AI/ML, containers, DevOps, big data and analytics, security.
– Demonstrated ability to drive technical discussions and communicate effectively with both engineering teams and executive stakeholders.
– Experience working in fast-paced environments where priorities shift and ambiguity is the norm.
– Fluent in English and Hebrew.
Preferred Qualifications
– Knowledge of distributed systems design and implementation or equivalent.
– Knowledge of large scale automation and workflow management or equivalent.
– Professional experience with AWS services or equivalent cloud platforms (Azure, GCP).
– Experience with AI/ML workloads including foundation models, inference infrastructure, agentic systems, accelerated compute (GPU, custom silicon), or MLOps.
– Background working with startups or high-growth technology companies where you've seen systems scale from early product through to production maturity.
– Experience with container orchestration (EKS, ECS, Kubernetes), serverless architectures, and infrastructure as code (Terraform, CloudFormation, CDK).
