Solutions Architect jobs in Israel

Job Description Summary We are looking for a Lead Solutions Architect – DERMS, who will join our Pre-Sales team, which is a client-centric, driven and results-oriented group focusing on enabling sales with strong understanding of the utility business perspective and driving the strategic growth by delivering exceptional end-to-end business and technical solutions to GridOS DERMS customers and partners. Lead Solutions Architect – DERMS, works truly in a cross-functional capacity: working closely with our partners, US and Canada Account Managers, Commercial Operations team, Marketing and Communications team, and Product Management team. Job Description Who you are As the Lead Solution Architect on DERMS, you understand the utility challenges and opportunities at an operational and a regulatory level with the flexibility to undertake technical and functional analysis while focusing on client management and quality of services. You can empathize with customers, convey the strategic value of deploying GridOS DERMS enterprise level software solutions and construct a powerful technical solution to meet customers’ needs. You provide timely feedback to Account Managers and Product Managers on client’s requirements. What will our new Lead Solutions Architect on DERMS work on? Pre-sales Engagements • Identify and qualify new leads / opportunities and actively nurture relationships with existing and prospective client accounts • Consult with customers and provide technical expertise and recommendations based on the required applications (e.g. provide GridOS DERMS product-line overview, conducting product demonstrations etc.) • Understand and document the technical/process/policy/regulatory-related challenges customers face and identify appropriate and suitable use cases and GridOS DERMS Solution offerings addressing their challenges directly • Articulate new customer requirements, existing trends, and issues to the Product Management team for analysis (e.g. user stories, capabilities, functional/non-functional requirements, roadmap etc.) • Definition and assessment of value-added technology-enabled services leveraging GridOS DERMS Platform Product Demonstrations/Proposals • Work with Account Managers to meet customer needs and deliver proposals on time • Work with Proposal Manager for RFP/RFQ/Government Programs by providing technical input • Identify any proposal-related Product Development scope outside of the current roadmap and flag with Product Management team for analysis • Work with Marketing Manager on marketing material by contributing with information towards the technical aspects of customer-facing marketing campaigns by monitoring competitive products, identifying use cases and channeling market response and feedback • Support marketing activities by attending trade shows, conferences and other marketing events • Develop and maintain a library of continuously updated “customer-ready” presentations at multiple technical levels for use during pre-sales engagements • Internal knowledge transfer and communication of technical insights from the customer • Provide feedback to US, Canada and International Account Managers, Product Management and Research and Development teams regarding customer feedback, product bugs and quality defects Requirements Here’s what you bring: • The education. You hold a Bachelors or Masters degree in engineering or a related field with a focus on Power Systems. • The experience. You have minimum 5+ years of strong utility industry knowledge with combination of technical sales and technical writing experience in the energy market. • The work arrangement. Remote role based in the US, up to 25% travel required based on the business needs. • The knowledge. You are highly familiar with emerging energy industry trends, regulations and implications on utility customers in the area of DER management, microgrids, distribution planning, SCADA and asset management. In addition, knowledge of Distributed Energy Resources (DERs), interconnection and interoperability standards such as IEEE 1547, and industry communication protocols including IEEE 2030.5 (SEP2), OpenADR, and related utility-to-DER integration technologies is highly desirable. Familiarity with DER aggregation, virtual power plants (VPPs), demand response programs, inverter-based resources, and DER integration use cases is considered a strong asset. • Client management. You attract new clients and expand existing relationships internally and externally by articulating the strategic and technical value of GridOS DERMS platform. • The excellence. You get things done on-time and within the project deadlines. • The teamwork. You are self-motivated collaborator that can also work as a successful independent researcher. • The communication. You have exceptional written and oral communication skills, can communicate effectively with both technical and non-technical audiences and provide high-level summaries of the solution to the C-suite. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position Application Deadline: November 16, 2026 For candidates applying to a U.S. based position, the pay range for this position is between $103,040.00 and $154,560.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: sales incentive. This posting is expected to remain open for at least seven days after it was posted on October 23, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI. AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL : • Customer Engagement & Advisory • Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches • Extract business requirements from customers and translate them into a well-architected recommendation • Develop and provide forward-looking guidance and future-state roadmaps • Leverage known best practices and solutions to reduce risk to customer implementations • Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals • Technical Leadership & Architecture • Oversee and advise on the implementation of the customer’s Snowflake platform • Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations • AI/ML Solutions & ML Ops • Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance • Provide customers with standard practices and advice related to AI/ML workloads in Snowflake • Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment • Product Adoption • Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions • Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements • Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value THE IDEAL CANDIDATE FOR A SOLUTIONS ARCHITECT WILL HAVE : • BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience • 3 years of technical consulting experience • Experience in a lead role for analytics projects for large enterprises • Experience implementing and operating Snowflake centric solutions • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools • Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring • Familiarity with AI/ML and Transformation technologies • Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale • Proven experience with developing generative AI and LLM use cases • Familiarity with industry common BI and ETL solutions • Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) • Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform • Familiarity with prompt engineering techniques AS A BONUS, A STRONG CANDIDATE WILL ADDITIONALLY HAVE : • Hands-on experience or significant familiarity with building and managing AI/ML workloads • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer • Experience in the services organization of a product company • Experience in a leadership position executing technical projects • Application Development experience • AWS, Google or Microsoft Cloud certification(s) • Snowflake Snowpro Advanced Certification(s) Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Job Description Summary The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description The Architect, Data Integration & Digital Platform Solutions is responsible for designing and governing the data architecture that enables customer data to be securely ingested, transformed, integrated, and leveraged across the organization's digital platform ecosystem. This role serves as the technical leader for customer data onboarding, interoperability, integration frameworks, and enterprise data architecture, ensuring that customer data becomes a scalable foundation for analytics, operational intelligence, workflow optimization, and decision support. Working across Product, Engineering, Data Science, Customer Success, and Commercial teams, this individual will establish the architecture required to connect disparate customer systems and transform fragmented data into actionable insights across Capital Planning, Operations, Clinical Operations, Revenue Optimization, and Supply Chain domains. This role will require 50% travel. Essential Responsibilities Customer Data Integration Strategy • Define and execute the architectural strategy for onboarding and integrating customer data into commercial digital platforms. • Design scalable data ingestion frameworks to support structured, semi-structured, and unstructured customer data sources. • Establish standards and best practices for customer data acquisition, transformation, validation, and enrichment. • Ensure data integration architectures support current business requirements and future platform growth. • Drive technology decisions that simplify customer onboarding while improving data quality and usability. Healthcare & Enterprise Data Architecture • Design enterprise data models that create a unified view across customer operational, clinical, financial, and asset management systems. • Develop architectures that support healthcare interoperability standards including HL7, FHIR, DICOM, and API-based integrations. • Create standardized integration patterns for EHR, ERP, CMMS, supply chain, financial, and operational systems. • Ensure platform architectures support advanced analytics, machine learning, and enterprise decision intelligence capabilities. Data Platform & Cloud Architecture • Design scalable cloud-based architectures supporting data ingestion, storage, processing, governance, and analytics. • Define data pipelines and integration frameworks that support real-time, near real-time, and batch processing requirements. • Architect solutions that support large-scale customer data onboarding and multi-tenant platform growth. • Ensure high availability, reliability, performance, and scalability of data services. Data Quality, Governance & Security • Establish architecture standards for data quality, lineage, governance, privacy, and regulatory compliance. • Design controls that ensure customer data accuracy, completeness, and integrity throughout the data lifecycle. • Embed cybersecurity, access controls, and compliance requirements into all integration and data management solutions. • Partner with governance teams to ensure adherence to security and regulatory standards. Cross-Functional Technical Leadership • Collaborate with Product Management to define data requirements supporting commercial and customer outcomes. • Partner with Engineering teams to implement scalable integration and data platform solutions. • Serve as the technical advisor for customer onboarding initiatives, integration planning, and architecture reviews. • Guide solution designs that accelerate implementation timelines while minimizing integration complexity. • Mentor engineering and technical teams on data architecture best practices. Preferred Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or related field. • 10+ years of experience in enterprise architecture, data architecture, integration architecture, or software engineering leadership. • Experience designing and implementing large-scale data integration and analytics platforms. • Strong knowledge of data engineering, ETL/ELT frameworks, APIs, cloud platforms, and enterprise integration patterns. • Experience working with healthcare, operational, financial, or supply chain data environments. • Demonstrated success translating complex business requirements into scalable technical solutions. • Experience with healthcare interoperability standards, including FHIR, HL7, and DICOM. • Expertise in cloud-native data platforms and modern data architectures. • Experience supporting SaaS, digital health, enterprise analytics, or decision intelligence platforms. • Knowledge of AI/ML, predictive analytics, and enterprise reporting architectures. • Industry certifications in cloud architecture, data engineering, or enterprise architecture. Impact of the Role This role is foundational to the organization's digital growth strategy. The Architect will establish the technical framework that transforms customer data into a strategic asset, enabling scalable platform growth and powering enterprise decision intelligence across Capital Planning, Operations, Clinical Operations, Revenue Management, and Supply Chain optimization. By creating a robust and repeatable data integration architecture, this leader will accelerate customer onboarding, improve data quality, and unlock measurable value for customers through advanced analytics and operational insights. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-ML2 We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $188,000.00-$282,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No Application Deadline: January 26, 2027

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Customer experience Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are looking for an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market. You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement. You’re welcome to work from our office in Amsterdam or remotely from any EU country. Your responsibilities: • Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes. • Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations. • Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning. • Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform. • Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams. • Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities. • Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities. What you bring • 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships. • Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings. • Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact. • A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences. • Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs. • Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority. • Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money. • A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly. Added bonuses The following experience would be valuable but is not required for the role: • Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform. • Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps. • Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations. • Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms. I-PL1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our EU regional SA teams. Your scope is PoC delivery and post-sales technical support: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from any EU country. Your responsibilities will include: Lead the team • Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans • Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest • Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do • Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions • Onboard new joiners through to their first independently delivered engagement • Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery • Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production • Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it • Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries • Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team • Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy • Get it used, not just written: documentation nobody reads is a cost, not an asset • Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone • Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams • Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions • Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream • Account management: make production handoffs uneventful, and keep post-sales technical requests moving • Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: • 3+ years managing technical teams, including performance management and difficult conversations • Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. • Strong ML knowledge: LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) • Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion • Python strong enough to read and review your team's code • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure • Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick • Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: • References from both former managers and former direct reports • Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality • Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider • Experience defining process and documentation for a team that had none • Hands-on background running LLMs in production and debugging inference workloads at the framework level • Work with multimodal AI models (vision-language, speech) • Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: • Programming languages: Python • ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.