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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
our companys Harmony SASE is looking for an Information Security Manager to join its staff.
This is a unique opportunity for you to work in the #1 worldwide Cyber Security Company, gain expertise and experience leading the information security program for the best of SASE (Secure Access Service Edge).
Key Responsibilities
As Information Security Manager you will:
Governance, Risk & Compliance
Lead and manage the Product Security team
Build, operate, and continuously improve the Harmony SASE Information Security Management System (ISMS), aligning policies, standards, and controls with our company and industry best practices.
Own the Harmony SASE compliance roadmap - lead and maintain certifications and attestations including ISO/IEC 27001, SOC 2 Type II, GDPR, IRAP and C5
Lead enterprise risk assessments and the third-party / vendor risk program, ensuring risks are identified, prioritized, and treated.
Coordinate internal and external audits, manage evidence collection, and remediate findings to closure.
Product & Application Security
Develop and implement a comprehensive AI - Secure Software Development Lifecycle (AI S-SDLC) framework, embedding security into every phase of the SDLC and CI/CD pipelines.
Conduct threat modeling and secure architecture reviews for new and existing Harmony SASE features, partnering with R&D to mitigate vulnerabilities by design.
Operate the application security tooling stack - ASPM, SAST, DAST, SCA, AI Security Scanning and secret scanning - at scale, and partner with development teams to drive findings to remediation while maintaining developer productivity.
Champion secure coding practices and OWASP Top 10 awareness across R&D.
Operational Security & Incident Response
Lead security incident response for Harmony SASE - preparedness, detection, containment, eradication, recovery, and lessons-learned - covering both product and information security incidents.
Oversee identity and access governance, ensuring least-privilege, segregation of duties, and access reviews across production and corporate environments.
Design and operate security automation to enhance the efficiency and coverage of security operations.
Security Culture & Enablement
Foster a culture of security awareness and continuous improvement; deliver targeted training for engineers, operations, and broader staff.
Lead responses to customer security questionnaires, RFPs, and due-diligence requests, representing Harmony SASEs security posture to customers and partners.
Stay current on the evolving Threats Landscape, regulations, and technologies, and translate them into pragmatic improvements to the security program.
Youll enjoy:
Interact with executives, managers, engineers across the company
Be the best security expert and knowledgeable you can imagine
Sharing your day with fun, passionate, brilliant people.
דרישות:
We are looking for you:

Bachelors degree in computer science, Information Security, or related field.
Minimum of 5 years of experience in information security or application/product security, with at least 2 year in a leadership role.
Proven experience building or operating an Information Security Management System (ISMS) and leading certifications such as ISO/IEC 27001 and SOC 2.
Working knowledge of GDPR, PCI-DSS, and NIST CSF / 800-53; familiarity with HIPAA, FedRAMP, DORA, Cyber Essentials, C5, IRAP, AI Security Frameworks and the Cloud Controls Matrix (CCM).
Hands-on experience with S-SDLC, threat modeling, and application security tooling such as ASPM, SAST, and DAST in complex, high-scale environments.
Strong understanding of risk management, third-party risk, identity and access governance, and incident response.
Excellent communication and leadership skills, with the ability and passion to drive change across R&D and the broader organization.
Reports to the Harmony SASE Head of Architecture (R&D Director) and partners closely with R&D, DevOps, IT, Legal, and the company Corp המשרה מיועדת לנשים ולגברים כאחד.
 
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28/06/2026
Location: Ra'anana
Job Type: Full Time
We are looking for a strong QA Lead with high technical skills to build methodology, provide vision and direction, and lead quality & automation throughout the organization. This role operates at the intersection of traditional software quality and AI-powered development - owning quality not just for code written by humans, but for systems designed, generated, and executed by AI agents.
How will you make an impact?
Serve as the quality leader for an entire domain - accountable for product quality across human-written, AI-generated, and agent-executed software
Actively track the domains quality tasks, analyze the testing needs, and define QA activities and ownership
Continuously analyze and challenge existing testing coverage
Plan, develop, and execute test strategy across our Cloud Analytics platform , extending to AI-powered and agentic system components
Review and approve tests cases and complex system scenarios
Prepare and present data-driven quality insights, KPIs, risks, and trends to leadership through regular domain level reporting.
Lead domain-level RCA reviews for customer-facing bugs and major incidents; detect trends and drive systemic improvements.
Own post-deployment quality monitoring, drive sanity completion and rapid triage of production issues within the domain.
Lead Quality assurance efforts that align with product objectives to ship products rapidly and with confidence
Help the teams design the performance, concurrency and latency test scenarios and metrics
Lead risk-based test strategy with product and engineering - define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
Implement and evolve QA processes to get effective test signals and scale testing efforts across our services
Define acceptance criteria for non-deterministic systems using golden-set evaluation, behavioral contracts, and statistical confidence thresholds
Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
Partner with engineering and DevOps teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product
Track and improve CI/CD pipeline health across environments - expanding automation coverage, hardening test stability, and ensuring every environment produces trustworthy test signals.
Plan and lead NFR testing
Define guidelines and best practices for our automation and manual testing procedures
Coordinate cross-organization/cross-region testing activities
דרישות:
Education:
BSc in Computer Science/Software Engineering or equivalent
Requirements
3 years QA leadership experience: Team leader/Manager
Minimum 5 years of Experience as a QA engineer with at least 4 years of automation experience
Experience with large scale production distributed systems and proven experience with designing and implementing tests for such systems
Leadership, coordination abilities and ability to influence without authority
Experience with systems that work with structured and unstructured data and with AI services and models
Demonstrated technical leadership across teams - driving standards, roadmap execution, and stakeholder alignment
Ability to define QA processes across development groups
Hands on experience with CI/CD and Test-Driven Development
Excellent communication skills (written and verbal) and interpersonal skills
Experience with full software development lifecycle using Agile Development processes
Superior analytical and problem-solving abilities
Experience designing evaluation harnesses for non-deterministic AI systems
Cloud experience (AWS/Azure/GCP) and Infrastructure-as-Code
Hands-on experience working within an agentic SDLC - including AI-assisted code generation, agent-driven development workflows, and the quality, review, and governance practices that keep AI-accelerated delivery safe and r המשרה מיועדת לנשים ולגברים כאחד.
 
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06/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior AI Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the agentic AI platform that turns LLMs into reliable, production-grade capabilities. You care about clean APIs, well-defined service boundaries, and systems that teams can build on with confidence. We are AI-first across the board - every team builds and operates agents. You'll architect and ship the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation pipelines, tool-calling infrastructure, and retrieval systems. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments.
If you want to make a meaningful impact, join our mission and build the agentic AI platform that drives Sovereign AI products - this role is for you.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.
Requirements:
5+ years in backend or distributed systems engineering, with 2+ years focused on production systems that integrate AI/ML models or LLMs.
Engineering craft - Strong Python, Go, or Java, system architecture, API design, testing, and secure coding practices.
Agentic systems - Experience designing and building agent orchestration, tool-use systems, and autonomous workflows; familiarity with frameworks like LangGraph or similar, or having built equivalent from scratch
Backend engineering - Experience building production APIs and services (FastAPI or similar); async programming, service architecture, high-availability, and reliability patterns (retries, circuit breakers, backpressure)
LLM integration - Hands-on experience integrating LLMs via SDKs and APIs; context engineering, structured outputs, tool calling, and model routing
RAG & retrieval - Experience with embedding pipelines, vector databases (e.g., Milvus, Qdrant, Pinecone), chunking strategies, and relevance tuning
Evaluation & observability - Experience designing LLM and agent evals, monitoring AI system quality, and building observability for non-deterministic systems
Nice to Have:
Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, container orchestration, deploying and operating production services
Experience with MCP or similar tool-use protocols for agent-to-service communication.
This position is open to all candidates.
 
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06/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required AI Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job:
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.
Requirements:
6+ years in backend software engineering, with 4+ years focused on production systems that integrate AI/ML models or LLMs.
2+ years leading an engineering team - hiring, mentoring, conducting design reviews, and shipping alongside your team.
Engineering craft - Strong Python, Go, or Java, system architecture, API design, testing, and secure coding practices.
Agentic systems & LLM integration - Deep understanding of agent orchestration, tool-use architectures, LLM integration patterns, context engineering, and frameworks like LangGraph or similar, or custom-built equivalents
Backend & platform engineering - Experience building and operating production APIs, services, and platform infrastructure at scale; comfortable working with relational databases, message queues, and event-driven architectures
RAG & retrieval - Experience with production RAG pipelines, vector databases, embedding systems, and retrieval quality
Evaluation & observability - Experience building LLM and agent eval infrastructure, monitoring AI quality, and observability for non-deterministic systems
Nice to Have:
Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, service architecture, incident management
Experience with MCP or similar tool-use protocols for agent-to-service communication.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
Required Exposure Analyst (Customer-Facing)
About us:
We are a leading hybrid cloud security company thats changing the way organizations approach cyber risk. We transform exposure management by showing our customers exactly how attackers might combine misconfigurations, vulnerabilities, and identity exposures across cloud and on-prem environments to compromise critical assets. With us, our customers can see all the ways attackers might get in-and the best ways to stop them with a fraction of the effort.
About You & The Role:
Are you someone who loves connecting with people just as much as you love talking tech? We are looking for a highly empathetic, customer-focused Exposure Analyst to join our managed services team. In this role, youll be the friendly face and trusted advisor helping our premium customers get the absolute best out of the platform.
Youll dive deep into security postures, translate complex attack paths into simple, actionable steps, and build the kind of trust that makes IT and Security teams excited to work with you.
Responsibilities:
Be the Trusted Advisor: Own the primary technical relationship for a portfolio of enterprise and mid-market customers, establishing yourself as their go-to security partner representing us in the customers organization.
Daily Posture Reviews & Action: Conduct daily reviews and analyses of your customers' security postures using the platform. You'll turn complex findings into clear, risk-based insights and proactively open remediation tickets.
Weekly Check-ins & Deep Dives: Lead engaging weekly calls with your customers, hosting targeted deep-dive sessions to guide them on configuration, best practices, and new features to ensure optimal ROI.
Bridge the Gap: Drive remediation outcomes by pushing discussions directly with the customers IT, DevOps, and Cloud teams-not just their security teams-helping them prioritize efforts based on attack path analysis.
Deliver the Big Picture: Proactively track progress and provide monthly reports to both technical and executive stakeholders. Youll also co-host Executive Business Reviews (EBRs) alongside our Customer Success team.
Champion the Customer: Act as the lead technical escalation point, partnering with our internal R&D, Product, and Support teams to make sure your customers' needs are always heard and resolved.
Requirements:
Must have: 5+ years in a customer-facing tech role (e.g., Customer Success Manager, TAM, Security Consultant, or MSSP/SaaS Support), with a proven track record of managing large enterprise clients.
Outstanding interpersonal skills: You easily break down complex tech issues. You are equally comfortable driving an IT team to take action as you are presenting to C-suite executives.
Cyber orientation: Key understanding of:
On-Prem/Active Directory, Cloud environments (AWS, GCP, Azure) and Kubernetes.
Posture Management - KSPM, ADSPM, and CSPM.
Identity Management - CIEM, IAM
General ethical hacking and cybersecurity principles.
Self-driven learning style: You are naturally curious, highly analytical, and comfortable in a dynamic, fast-paced environment where you are always eager to expand your skills.
Communication: Native-level fluency in English (written and spoken) is a must.
This position is open to all candidates.
 
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05/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior ML Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the ML platform that turns research into reliable, production-grade intelligence. You care about reproducibility, low-friction experimentation, and infrastructure that earns the trust of the scientists and researchers who depend on it daily. You'll architect and ship our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - turning models into production capabilities across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments.
If you want to make a meaningful impact, join our mission and build the ML platform that drives Sovereign AI products - this role is for you.
Responsibilities
Build and operate ML training infrastructure - distributed training pipelines, compute scheduling, and reproducible experiment workflows that data scientists rely on daily.
Own model serving and inference systems - packaging, deployment, autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models.
Run feature stores, model registries, and dataset versioning - enabling self-serve feature engineering, model lineage, and reproducible experiments across teams.
Build experiment tracking and evaluation infrastructure - automated evals, comparison dashboards, drift detection, and monitoring that give teams visibility into model behavior and performance.
Build and maintain production pipelines for training, fine-tuning workflows, and serving domain models - owning reliability, reproducibility, and scale.
Build and maintain the monitoring and observability layer - model performance tracking, data and prediction drift detection, data quality validation, and alerting.
Improve performance and cost across the ML stack - training throughput, inference latency, batch vs. real-time tradeoffs, and compute cost management.
Ship shared tooling - libraries, templates, CI/CD for models, IaC, and runbooks - while collaborating across Data Platform, AI, Data Science, Engineering, and DevOps. Own architecture, documentation, and operations end-to-end.
Requirements:
5+ years in software engineering, with 2+ years focused on ML infrastructure, MLOps, or data-intensive systems
Engineering craft - Strong Python, distributed systems design, testing, secure coding, API design, CI/CD discipline, and production ownership.
ML platform & serving - Model serving frameworks (e.g., Triton, TorchServe, vLLM, Ray Serve); model packaging, deployment pipelines, and inference optimization
Training infrastructure - Distributed training pipelines (e.g., frameworks like PyTorch, JAX) experiment orchestration and reproducibility
ML lifecycle tooling - Feature stores, model registries, experiment tracking (e.g., MLflow, Weights & Biases); dataset versioning and lineage
Data pipelines - Building training and inference data pipelines; familiarity with tools like Spark, Airflow/Dagster, and streaming ingestion
Comfortable with AI coding tools like Cursor, Claude Code, or Copilot
Nice to Have:
Experience operating in constrained environments - on-premise, private cloud, or air-gapped deployments
Hands-on experience with simulation environments, synthetic data generation, or reinforcement learning workflows
Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, observability, incident response
Hands-on data science or applied ML experience.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As the Team Lead, Technical Account Manager (TAM), you will lead a team responsible for delivering excellent technical account management, with a focus on guiding the seamless onboarding of new customers. You will ensure your teams success in building strong customer relationships, addressing technical issues related to observability, and maintaining data-driven operational excellence. This role requires technical depth in logging, monitoring, and observability tools as well as strong leadership skills.
Key Responsibilities:
Leadership & Team Development:
Lead, mentor, and manage a team of TAMs to ensure successful customer onboarding and long-term success.
Develop KPIs for the team and track performance related to the onboarding experience, ensuring customer satisfaction.
Provide technical guidance and foster team collaboration on observability tools and log analytics.
Technical Expertise & Customer Engagement:
Oversee the implementation of observability tools, guiding customers through Logs, Metric and Traces monitoring, and real-time analysis.
Ensure that your team delivers expert-level onboarding and ongoing, for our observability and logging solutions.
Provide deep technical insights on cloud observability and integration of our company into customer infrastructures.
Customer Relationship Management:
Be the primary escalation point for customer technical challenges.
Proactively work with customers to enhance their logging and observability practices, integrating them seamlessly with our companys platform.
Engage with our company stakeholders to provide tailored technical solutions that align with customer business goals.
Data-Driven Leadership:
Leverage customer feedback and usage data to enhance the onboarding process and overall TAM team performance.
Analyze patterns in customer data, ensuring that your team applies data insights to improve observability outcomes and preempt issues.
Collaborate with internal teams on product enhancements, informed by your team's customer data analysis.
Requirements:
Technical Expertise:
Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP.
Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic, NewRelic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger.
Good knowledge of RegEx, Lucene, PromQL.
Leadership & Onboarding:
Proven experience leading technical teams, especially focused on delivering observability solutions, logging infrastructure, and successful customer onboarding.
Ability to define and track onboarding KPIs, focusing on technical adoption and customer satisfaction.
Customer-Focused & Data-Driven Mindset:
Strong analytical skills to interpret customer data and usage trends, ensuring continuous improvements in observability practices.
Ability to communicate complex technical information to both technical and non-technical stakeholders.
Excellent communication skills in English.
Strong presentation skills with the ability to establish credibility with executives.
Preferred Qualifications:
Certifications in AWS, Kubernetes, or observability platforms (e.g., Prometheus Certified).
Experience working in a data-driven or SaaS environment.
MBA or relevant leadership experience.
Cultural Fit
Were seeking candidates who are hungry, humble, and smart. our company fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, wed love to hear from you.
This position is open to all candidates.
 
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20/07/2026
Location: Ra'anana
Job Type: Full Time
the global market leader in wireless communication systems for motorcycle and ski helmets, is seeking a talented and hands-on Mobile Application Software manager to join our growing R&D department. This is a full-time position based at our headquarters in Ra'anana, reporting directly to the VP of R&D. As Mobile Application Software manager, you will lead several distributed teams responsible for our consumer and OEM mobile applications. Your mission is to transform our mobile organization into an AI-first engineering powerhouse, leveraging modern AI technologies and AI-driven software development practices to deliver exceptional, data -driven experiences for riders worldwide. Key Responsibilities Strategic Leadership
* Define and execute a unified mobile vision across B2C and B2B (OEM) products, aligning with Product Management, UX, Hardware, Cloud, and data teams. Team Management
* Lead, mentor, and grow teams of 25-40 engineers and tech leads located in Israel and offshore development centers.
* Foster a high-performance, collaborative, and inclusive engineering culture. AI-First Transformation
* Drive the adoption of AI-first development methodologies across the mobile organization.
* Partner with data Science teams to embed on-device AI/ML, personalization, and predictive capabilities into our products.
* Champion the use of AI-powered engineering tools and workflows throughout the Software Development Life Cycle (SDLC), improving productivity, code quality, testing, documentation, and release efficiency. Architecture & Quality
* Oversee native IOS and Android codebases (Swift/Kotlin), ensuring scalable and maintainable architecture and development best practices.
* Establish and enforce architecture standards, code quality processes, and engineering excellence.
* Lead implementation of automated testing and CI/CD pipelines using tools such as Bitrise, GitHub Actions, XCTest, Espresso, and Fastlane. Release Excellence
* Own the end-to-end mobile delivery lifecycle, including beta programs, phased rollouts, crash analytics, A/B testing, and app store submissions.
* Ensure high-quality releases and an exceptional User Experience across IOS and Android platforms. Stakeholder Collaboration
* Work closely with Product, Hardware, Cloud, QA, Customer Success, and Business stakeholders to deliver seamless helmet-to-cloud experiences. Metrics & Analytics
* Define and track KPIs such as user retention, crash-free sessions, engagement, feature adoption, and development efficiency.
* Use data -driven insights to guide priorities, roadmap decisions, and continuous improvement initiatives.
Requirements:
Required Qualifications
* B.Sc. in Computer Science, Software Engineering, or a related field.
* 5+ years of experience managing mid-sized mobile engineering teams, including geographically distributed and offshore teams.
* Deep hands-on knowledge of Swift, Kotlin, Xcode, Android Studio, Core Bluetooth (BLE), and modern mobile architectures such as MVVM, Clean Architecture, and Jetpack.
* Demonstrated success delivering large-scale consumer mobile applications (1M+ downloads) and/or white-label OEM solutions.
* Strong expertise in CI/CD, automated testing, mobile DevOps, and release management best practices.
* Proven experience leading cross-functional initiatives and influencing senior leadership and organizational strategy.
* Demonstrated experience working in AI-first development environments, including implementation of AI-powered engineering practices and AI-enhanced SDLC processes.
* Hands-on experience leveraging AI-assisted tools for software design, code generation, testing, code reviews, debugging, documentation, and development productivity.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

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.
Requirements:
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).
This position is open to all candidates.
 
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