UI/ UX Lead - AI Datacenter Orchestration

📍 Job Overview

Job Title: UI/UX Lead - AI Datacenter Orchestration

Company: DriveNets

Location: Ra'anana, Israel

Job Type: Full-Time

Category: Product Design / User Experience (UX)

Date Posted: April 25, 2026

Experience Level: Mid-Senior Level (5-10 years implied)

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end User Experience (UX) design for a complex AI datacenter orchestration platform, focusing on network engineers as the primary user base.

• Drive the creation of intuitive and efficient user workflows for critical datacenter operations, including provisioning, configuration management, automation, validation, monitoring, and incident response.

• Leverage advanced AI and Large Language Model (LLM) tools to accelerate design processes, from research synthesis and prototyping to UX writing and iteration.

• Partner closely with Product Management and Engineering teams to define the UX roadmap, ensure high-fidelity execution of design deliverables, and drive cross-functional alignment.

• Develop and maintain lightweight UI guidelines and shared design patterns to ensure a consistent and cohesive user experience across multiple services within the platform.

📝 Enhancement Note: While the job title is "UI/UX Lead," the responsibilities lean heavily into leading the strategic UX vision and execution for a complex technical product, suggesting a seniority beyond a standard "lead" role. The emphasis on AI/LLM integration and operating within a sophisticated datacenter orchestration environment indicates a need for deep domain understanding and forward-thinking design capabilities. The "5+ years" requirement solidifies this as a mid-to-senior level position.

📈 Primary Responsibilities

• End-to-End UX Ownership: Lead the complete UI/UX design process for a multi-service datacenter orchestration platform, specifically tailored for network engineering teams managing large-scale AI infrastructure.

• Workflow Design & Optimization: Design intuitive and efficient workflows that cover the entire datacenter lifecycle, from initial provisioning and ongoing configuration management to network automation, system validation, real-time monitoring, and critical incident response.

• Information Architecture & Interaction Design: Translate complex technical concepts and operational requirements into clear and logical information architecture, effective navigation models, comprehensive user flows, and user-friendly interaction patterns.

• High-Fidelity Deliverables: Produce detailed, implementation-ready design assets including high-fidelity mockups, interactive prototypes, comprehensive interaction specifications, edge case handling, definition of various UI states (loading, empty, error), responsive design behaviors, and adherence to accessibility standards.

• User Research & Validation: Conduct in-depth user research, including interviews, usability testing, and workflow mapping sessions, with network engineers to deeply understand their operational pain points and continuously optimize workflows for maximum efficiency and effectiveness.

• LLM Integration in Design: Proactively integrate LLM tools into the design workflow to expedite discovery phases, enhance ideation processes, generate UX copy drafts, refine prototypes, and speed up iteration cycles, establishing best practices for their effective use within the team.

• Cross-Functional Collaboration: Drive alignment across Product Management, Engineering, and other stakeholders through structured design reviews, collaborative workshops, and clear articulation of design decisions, tradeoffs, and rationale.

• Design System Development: Create and manage lightweight UI guidelines, shared design patterns, and reusable components within Figma to ensure a consistent and coherent end-user experience across the platform's various services.

• UX Acceptance Criteria: Define clear UX acceptance criteria and actively collaborate with the Engineering and QA teams during the build and testing phases to ensure the final shipped product accurately reflects the design intent and meets user needs.

• Product Strategy Contribution: Bring a strong customer-centric perspective to product decision-making, contributing measurable UX goals and leveraging iterative validation to inform product direction.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on design work and strategic product leadership. The emphasis on "AI datacenter orchestration" and "network engineers" points to a specialized B2B/enterprise design role. The specific mention of LLM tools indicates a forward-looking approach and a requirement for candidates to be adaptable and innovative in their design methodologies.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 5+ years of professional experience in UI/UX design, with a proven track record in designing complex software products, particularly enterprise or B2B applications.

Required Skills:

• Expert UI/UX Design: Demonstrated expertise in end-to-end UI/UX design for complex software, with a portfolio showcasing successful enterprise/B2B application design projects.

• Design Tool Proficiency: Expert-level command of modern design and prototyping tools, with a strong preference for Figma, including experience with componentization, design systems, and interactive prototyping. (Sketch or Adobe XD may be acceptable as alternatives).

• Data-Dense & Workflow Interfaces: Proven ability to design highly functional, data-dense interfaces for complex workflows, such as dashboards, monitoring tools, configuration interfaces, and operations management systems.

• Engineering Collaboration: Experience working closely with frontend engineers, understanding their implementation processes, and effectively producing implementation-ready design specifications.

• Interaction Design & IA: Strong theoretical and practical understanding of interaction design principles, information architecture, user-centered design methodologies, and usability best practices.

• User Research: Proficiency in conducting various forms of user research, including user interviews, usability testing, and workflow analysis, to gather actionable insights.

• Communication & Presentation: Excellent verbal and written communication skills, with the ability to articulate complex design decisions, explain tradeoffs, and present design rationale clearly and persuasively to diverse stakeholders.

• Accessibility Fundamentals: Solid understanding of web accessibility standards and best practices (e.g., WCAG) and how to incorporate them into design solutions.

Preferred Qualifications:

• Prototyping Skills (HTML/CSS/JS): Ability to produce implementation-ready static prototypes using HTML, CSS, and JavaScript, either hand-coded or with modern tooling, as a supplement or alternative to Figma deliverables.

• Domain Familiarity: Background or demonstrated familiarity with network engineering, datacenter operations, infrastructure management, or related IT operations domains.

• LLM Tool Experience: Prior practical experience integrating LLM tools into design workflows for research, content generation, ideation, or prototyping.

• AI/ML Infrastructure Design: Experience designing user interfaces for AI/ML infrastructure, such as GPU clusters, High-Performance Computing (HPC) environments, or distributed machine learning systems.

• Monitoring & Observability: Experience designing user experiences for monitoring, observability, incident response, or infrastructure management tools.

• Orchestration & IaC: Familiarity with concepts related to Kubernetes, cloud orchestration platforms, or Infrastructure-as-Code (IaC) principles.

• Network Visualization: Understanding of network topology visualization techniques, graph-based user interfaces, or real-time data streaming interfaces.

📝 Enhancement Note: The "5+ years" requirement is explicitly stated, implying a need for candidates with substantial experience. The preferred qualifications highlight a strong desire for candidates who can either bridge the gap between design and development (HTML/CSS/JS) or possess domain-specific knowledge in networking and AI infrastructure, making them valuable assets from day one. The emphasis on LLM tools is a key differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Comprehensive Case Studies: Showcase 2-3 detailed case studies demonstrating end-to-end UX ownership for complex software products, ideally enterprise or B2B applications. Each case study should clearly outline the problem, your role, the design process, key decisions, challenges, and quantifiable outcomes.

• Workflow Design Examples: Include specific examples of how you've designed complex operational workflows, detailing the information architecture, user flows, and interaction patterns created to enhance efficiency and usability.

• Data-Dense Interface Design: Present examples of designing data-rich dashboards, monitoring interfaces, or operational tools where clear data visualization and actionable insights were paramount.

• Prototyping & Interaction Specs: Demonstrate proficiency in creating interactive prototypes and detailed interaction specifications that clearly communicate design intent to engineering teams.

• LLM Integration Examples (Optional but Recommended): If possible, include a case study or section that highlights how you've leveraged AI/LLM tools to enhance your design process, showcasing efficiency gains or novel solutions.

Process Documentation:

• User Research Synthesis: Provide evidence of how user research (interviews, usability testing) was conducted, analyzed, and translated into actionable design insights and product improvements.

• Design System Components: If applicable, showcase examples of design system components or UI guidelines you've developed to ensure consistency and scalability in product design.

• Cross-Functional Collaboration: Illustrate how you've collaborated with product managers and engineers, including documentation of design reviews, feedback loops, and problem-solving sessions.

• Metrics & Validation: Demonstrate how you've defined and measured UX success, using data and user feedback to validate design decisions and drive product iteration.

📝 Enhancement Note: For a "Lead" role, especially one emphasizing complex enterprise software and AI, the portfolio is critical. It needs to show not just visual design skills but a deep understanding of user-centered design processes, problem-solving for complex technical domains, and the ability to translate intricate requirements into usable interfaces. The inclusion of LLM usage in the portfolio would be a significant advantage.

💵 Compensation & Benefits

Salary Range: Given the location (Ra'anana, Israel), the experience level (5+ years implied), and the specialized nature of the role (AI Datacenter Orchestration, UI/UX Lead), a competitive salary range is expected. Based on industry benchmarks for similar roles in Israel, the estimated range could be:

• NIS 35,000 - NIS 55,000 per month (approximately USD $9,500 - $15,000 per month, depending on exchange rates).

Benefits:

• Comprehensive Health Insurance: Including medical, dental, and vision coverage.

• Stock Options/Equity: Potential for participation in the company's growth through stock options or grants.

• Professional Development: Budget for conferences, training, courses, and certifications relevant to UI/UX, AI, and networking.

• Hybrid Work Model: Flexibility with a hybrid work arrangement, allowing for a balance between in-office collaboration and remote work.

• Generous Paid Time Off (PTO): Including vacation days, sick leave, and holidays.

• Retirement Plan Contributions: Employer contributions to a pension or retirement fund.

• Commuting Assistance: Support or reimbursement for commuting to the Ra'anana office.

• Team Events & Social Activities: Opportunities for team building and social engagement.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility offered due to the hybrid work arrangement. Expect core hours for team collaboration and meetings.

📝 Enhancement Note: Salary figures are estimates based on Israeli tech market data for senior design roles and specialized technical fields. Actual compensation will depend on the candidate's specific experience, interview performance, and prevailing market conditions. The benefits listed are typical for a well-established tech company in Israel.

🎯 Team & Company Context

🏢 Company Culture

Industry: Networking Technology, AI Infrastructure, Cloud Computing Solutions. DriveNets operates at the intersection of high-scale networking and artificial intelligence, modernizing how service providers, cloud providers, and hyperscalers build and manage their network infrastructure.

Company Size: DriveNets has raised significant funding ($587 million) and supports large-scale deployments, indicating a company that has moved beyond startup phase into a growth or established phase. Likely in the range of 200-500+ employees, with a global presence.

Founded: 2015. This suggests a relatively young but rapidly growing company that has achieved significant market traction and technological validation, evidenced by supporting AT&T's backbone traffic.

Team Structure:

• Cross-Functional Product Teams: The UI/UX Lead will likely be part of a dedicated product team, working closely with Product Managers, Engineers (Frontend, Backend, AI/ML), and potentially QA.

• Design Function: While this role leads UX for a specific platform, there might be a broader design function or community within DriveNets for sharing best practices and maintaining consistency.

• Reporting: The role likely reports to a Head of Product, Director of Product Design, or a senior Engineering leader responsible for the platform.

Methodology:

• Agile Development: Given the tech industry and product development focus, an Agile methodology (Scrum, Kanban) is highly probable, emphasizing iterative development, Sprints, and continuous feedback.

• Data-Driven Decision Making: The company's focus on AI and large-scale networks suggests a strong emphasis on data analysis, performance metrics, and evidence-based decision-making for both product development and operational efficiency.

• User-Centric Design: The explicit requirement for user research and validation underscores a commitment to understanding and addressing the needs of their target users (network engineers) throughout the product lifecycle.

Company Website: https://www.drivenets.com/

📝 Enhancement Note: DriveNets' positioning as a disruptor in the networking market, backed by significant funding and major client adoption, implies a fast-paced, innovative, and technically challenging environment. The company culture likely values deep technical expertise, problem-solving, and a drive to push boundaries, especially in the integration of AI with networking infrastructure.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Lead" with significant ownership and strategic input, implying a Senior or Principal level within the UX/Product Design domain. It's a pivotal role responsible for shaping the user experience of a core, complex platform.

Reporting Structure: The UI/UX Lead will report to a senior leader within Product or Engineering, such as a Director of Product, VP of Product, or Head of Design. They will collaborate heavily with Product Managers and Engineering Leads, acting as a peer to these functions on the product team.

Operations Impact: The impact of this role is substantial. By creating intuitive and efficient interfaces for the AI Datacenter Orchestration platform, the UI/UX Lead directly influences the productivity, accuracy, and operational success of network engineers managing critical infrastructure. This translates to reduced operational costs, faster deployment times, fewer errors, and improved stability for DriveNets' clients, which are major service and cloud providers. A well-designed platform is a key differentiator and driver of customer adoption and satisfaction.

Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for AI infrastructure, complex distributed systems, and networking technologies, becoming a go-to expert in this niche.

• Leadership Expansion: Transition into a management role, leading a team of UX designers, or expanding scope to oversee UX for multiple product lines.

• Product Strategy Influence: Grow influence on broader product strategy, contributing to long-term vision and roadmap development based on user insights and design expertise.

• Cross-Functional Leadership: Take on more responsibility in driving cross-functional initiatives, mentoring other team members, and becoming a champion for user-centered design principles across the organization.

• Industry Recognition: Contribute to thought leadership through presentations, publications, or community involvement related to UX for complex infrastructure and AI platforms.

📝 Enhancement Note: The "Lead" title, coupled with the responsibility for a core platform and the emphasis on strategic input and user research, indicates a role with significant autonomy and potential for career advancement within DriveNets or the broader tech industry. The opportunity to work with cutting-edge AI and networking technologies is a significant growth driver.

🌐 Work Environment

Office Type: DriveNets operates a hybrid work model, suggesting a modern office environment designed for collaboration, innovation, and focused work. This likely includes meeting rooms, open collaborative spaces, and quiet zones.

Office Location(s): The primary location mentioned is Ra'anana, Israel. DriveNets also has offices in Romania, the US, and Japan, indicating a global organization with a strong presence in Israel. The Ra'anana office serves as a key hub.

Workspace Context:

• Collaborative Hub: The office environment is designed to foster collaboration between product, engineering, and design teams, facilitating brainstorming sessions, design reviews, and agile ceremonies.

• Technology-Rich: As a leader in networking and AI, the workspace would be equipped with the latest technology to support design and development workflows, including high-performance workstations and reliable network infrastructure.

• Innovation Focus: The culture likely encourages an environment where experimentation and the adoption of new technologies (like LLMs) are supported and expected.

• Hybrid Integration: Tools and processes are in place to ensure seamless collaboration between in-office and remote team members.

Work Schedule: The role is full-time, with an expected 40-hour work week. The hybrid model provides flexibility, allowing individuals to structure their workdays to balance in-office collaboration with focused remote work, accommodating the needs of complex design tasks and user research.

📝 Enhancement Note: The hybrid nature of the role suggests a company that values flexibility and employee well-being, while still recognizing the importance of in-person interaction for complex problem-solving and team cohesion in the tech industry.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Challenge: Candidates will be asked to present their portfolio, focusing on relevant case studies that demonstrate their experience with complex enterprise software, data-dense interfaces, and workflow design. This may be followed by a take-home design challenge or an in-person/virtual whiteboarding session to assess problem-solving skills and design thinking.

• Technical & Team Interviews: Interviews with Product Managers, Engineering Leads, and potentially other designers to delve deeper into technical understanding, design methodology, collaboration style, and experience with specific tools and concepts (e.g., LLMs, networking).

• Hiring Manager Interview: A final interview with the hiring manager to discuss strategic alignment, leadership potential, career aspirations, and overall fit with the team and company culture.

Portfolio Review Tips:

• Curate for Relevance: Select case studies that best align with the requirements: complex enterprise software, data-heavy interfaces, workflow optimization, and ideally, experience with infrastructure or AI-related products.

• Tell a Story: For each case study, clearly articulate the problem, your specific role and contributions, the design process undertaken, the rationale behind key decisions, challenges faced, and the measurable impact of your design solutions.

• Highlight Process: Emphasize your user research methodologies, iterative design approach, and how you collaborated with engineering and product teams. Show your thinking process, not just the final output.

• Showcase LLM Integration (If Applicable): If you have experience using LLMs in design, clearly demonstrate how you leveraged these tools, the benefits achieved, and any best practices you developed.

• Prepare for Questions: Be ready to discuss your design decisions in detail, explain tradeoffs, and articulate how your work aligns with business goals and user needs.

Challenge Preparation:

• Understand the Domain: Research DriveNets, their AI Datacenter Orchestration platform, and the challenges network engineers face. Understand concepts like disaggregated networking, AI infrastructure, and datacenter operations.

• Focus on User Needs: Frame your solutions around solving specific user pain points and improving operational efficiency.

• Structure Your Approach: For whiteboarding or take-home challenges, clearly define the problem, outline your assumptions, sketch out potential solutions, and explain your rationale.

• Demonstrate Design Thinking: Show your ability to break down complex problems, explore multiple solutions, and justify your chosen path based on user needs and technical feasibility.

📝 Enhancement Note: The process emphasizes a strong portfolio and practical design skills. Candidates should prepare to not only showcase their work but also articulate their thinking process and demonstrate problem-solving capabilities relevant to complex technical domains and the use of emerging AI tools.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The preferred tool for UI design, wireframing, prototyping, and component library management. Expect to create and maintain design systems within Figma.

• Prototyping Tools: Beyond Figma's built-in capabilities, experience with tools like InVision, Axure, or similar for more advanced interactive prototypes might be beneficial.

• User Research Platforms: Tools for conducting usability testing, surveys, and remote interviews (e.g., UserTesting.com, Lookback, Maze).

• Collaboration Tools: Jira, Confluence, Slack, Microsoft Teams for project management, documentation, and team communication.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, or Pendo for understanding user behavior within the platform, tracking feature adoption, and identifying areas for improvement.

• Data Visualization Tools: While not directly a designer's primary tool, familiarity with how data is presented in tools like Tableau, Power BI, or Grafana can inform dashboard design.

CRM & Automation:

AI & LLM Tools:

• AI Assistants: Experience with various AI assistants for tasks such as:

  • Research Synthesis: Summarizing user feedback, market research.
  • Ideation: Generating UI concepts, design patterns.
  • UX Writing: Drafting copy, microcopy, error messages.
  • Prototyping Assistance: Generating code snippets or conceptual layouts.
  • Quality Assurance: Creating checklists for design review.

• Specific LLM Platforms: Familiarity with platforms like ChatGPT, Claude, Gemini, or specialized AI design tools.

📝 Enhancement Note: The explicit mention of LLM tools is a key differentiator. Candidates should be prepared to discuss their practical application in accelerating design workflows, improving quality, and fostering innovation. Proficiency in Figma is a must.

👥 Team Culture & Values

Operations Values:

• Innovation & Disruption: DriveNets thrives on challenging the status quo in networking and embracing new technologies like AI and disaggregation to create market-leading solutions.

• Customer Focus: A deep commitment to understanding and solving the complex problems faced by their customers, particularly large-scale network operators.

• Technical Excellence: A culture that values deep technical expertise, rigorous problem-solving, and a commitment to building high-quality, robust, and scalable systems.

• Collaboration & Teamwork: Emphasis on cross-functional collaboration, open communication, and shared ownership to achieve ambitious goals.

• Impact & Ownership: Encouraging individuals to take ownership of their work, drive meaningful impact, and contribute to the company's success.

• Agility & Adaptability: The ability to move quickly, adapt to changing market dynamics, and embrace new tools and methodologies, such as LLMs in the design process.

Collaboration Style:

• Cross-Functional Integration: Strong emphasis on seamless collaboration between Design, Product Management, and Engineering, fostering a shared understanding of goals and challenges.

• Data-Informed Discussions: Decisions and discussions are often informed by user data, performance metrics, and technical feasibility assessments.

• Iterative Feedback Loops: A culture that embraces continuous feedback, both within the design team and across departments, to refine solutions and improve product quality.

• Open Communication Channels: Encouraging direct and transparent communication through tools like Slack, regular stand-ups, and review sessions.

📝 Enhancement Note: The culture at DriveNets likely appeals to individuals who are technically proficient, enjoy tackling complex challenges, and thrive in a dynamic, forward-thinking environment that leverages cutting-edge technologies like AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Domain: Designing for large-scale AI datacenter orchestration involves understanding intricate technical concepts, complex workflows, and the needs of highly specialized users (network engineers).

• Balancing Innovation with Usability: Integrating cutting-edge AI and LLM tools while ensuring the user experience remains intuitive, efficient, and reliable for critical operations.

• Cross-Functional Alignment: Ensuring consistent design vision and execution across multiple services and collaborating effectively with diverse stakeholders who may have different priorities.

• Rapid Technological Evolution: Staying abreast of advancements in AI, LLMs, and networking technologies, and translating these into user-centric design solutions.

• Data Visualization for Scale: Designing effective ways to visualize and manage vast amounts of data and complex network topologies in real-time.

Learning & Development Opportunities:

• Deep Domain Expertise: Gain unparalleled knowledge in AI infrastructure, datacenter orchestration, and advanced networking technologies.

• AI/LLM Design Methodologies: Become an expert in leveraging AI tools to enhance the entire design lifecycle, setting best practices for the industry.

• Leadership & Strategy: Develop strategic product thinking and leadership skills by influencing the roadmap and user experience of a core platform.

• Cross-Disciplinary Learning: Work closely with world-class engineers and product managers, fostering a rich learning environment across disciplines.

• Industry Impact: Contribute to a product that is at the forefront of modernizing global communication networks, offering significant career growth and recognition potential.

📝 Enhancement Note: This role presents significant challenges but also offers exceptional opportunities for professional growth in a rapidly evolving and impactful technological space. The emphasis on AI integration is a key differentiator for skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow for enterprise users. What were the key challenges, and how did you ensure efficiency and usability?" (Focus on your process, problem-solving, and user-centric approach)

• "How would you approach designing a monitoring dashboard for a large-scale AI datacenter infrastructure? What data points would be critical, and how would you visualize them?" (Assess your understanding of data density, prioritization, and visualization for complex systems)

• "Tell us about your experience using LLMs in your design workflow. Can you provide a specific example of how it accelerated your process or improved the outcome?" (Crucial for this role; be ready to detail your practical application and understanding of AI tools)

Company & Culture Questions:

• "What interests you about DriveNets and our mission in AI Datacenter Orchestration?" (Show you've researched the company and understand its market position)

• "How do you stay updated on the latest trends in UI/UX design, AI, and networking technology?" (Highlights your commitment to continuous learning)

• "Describe your ideal cross-functional team dynamic and how you contribute to a collaborative environment." (Assesses your teamwork and communication style)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the process (research, ideation, iteration), the solution, and the impact (quantifiable results are best).

• Highlight Your Contribution: Be specific about what you did, especially if it was a team project.

• Showcase Process, Not Just Pixels: Explain why you made certain design decisions. Discuss tradeoffs, user research insights, and how you iterated based on feedback.

• Prepare for Deep Dives: Be ready to answer detailed questions about your design choices, tools used, and challenges encountered.

• Address LLM Usage: If you have LLM experience, integrate it into your case study explanations or have specific examples ready to share.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of UX principles applied to complex technical domains, practical experience with modern design tools, and a clear, forward-thinking approach to integrating AI/LLM technologies into the design process.

📌 Application Steps

To apply for this UI/UX Lead position:

• Submit your application through the provided link on Comeet.

• Portfolio Customization: Tailor your resume and portfolio to highlight experience relevant to complex enterprise software, data-dense interfaces, workflow design, and ideally, any exposure to infrastructure, networking, or AI/ML environments.

• Resume Optimization: Ensure your resume clearly states your years of experience, proficiency with Figma and other design tools, and any specific achievements related to improving user workflows or product efficiency. Use keywords from the job description.

• Prepare Your Portfolio Presentation: Rehearse a concise and compelling presentation of your most relevant case studies, focusing on your process, impact, and ability to articulate design rationale. Be ready to discuss your experience with AI/LLM tools.

• Company Research: Thoroughly research DriveNets, their products, market position, and company culture. Understand their focus on AI Datacenter Orchestration and what makes their technology disruptive.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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