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Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon's Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters. Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details

Own Every Moment at NetApp You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a?Principal Product Manager?to lead the definition and evolution of NetApp's?AI Data Infrastructure (AIDI)?portfolio. This role owns a?broad, end-to-end AI infrastructure strategy, spanning?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with?architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on?enabling ONTAP and complementary data services across diverse system architectures, including?high-performance file and block platforms, scale-out systems, and object storage, as well as?validated reference architectures. The role supports both?Neocloud providers?and?Strategic Enterprise customers, shaping solutions that enable?training, fine-tuning, inference, and emerging AI workloads across?hybrid and on-prem?environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the?holistic AIDI product strategy, centered on?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a?phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize?AI workload use cases?(training, fine-tuning, inference, multi-tenant AI platforms), and map them to?storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead?co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain?validated reference architectures and certified AI designs?(e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between?NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID)?and external partner ecosystems. Platform & Ecosystem Definition Drive?platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define?end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define?fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from?Neocloud providers?and?large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into?clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are?consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define?monetization strategies?for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess?revenue impact, pricing, margin, and cost structure?across solution types. Cross-Functional Leadership Serve as the?single point of accountability?across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to?executive leadership and field organizations. Influence?long-term platform decisions?that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with?enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of?on-prem and/or cloud infrastructure?and modern data center architectures. Proven experience partnering with?architecture and engineering teams?to translate technical concepts into market-ready products. Experience defining?product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with?hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with?OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining?monetization and licensing models?for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our?AI Data Infrastructure?business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in?AI-ready data platforms and solutions, while working closely with senior leaders across the company. EducationIC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication to customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal . click apply for full job details

Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.