Jobs at Replications, Inc

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure, enterprise storage, and AI workloads, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, managing joint go-to-market narratives with Microsoft, and balancing hyperscaler constraints with NetApp's unique data services. The role appeals to strategic leaders seeking to shape the future of AI data infrastructure while collaborating with passionate teams across engineering, sales, and customer success. NetApp offers a hybrid work environment that fosters a culture of bold thinking, ownership, and flexibility, allowing professionals to drive innovation in a trusted partner organization.

This principal-level product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into product requirements, managing joint go-to-market narratives with Microsoft, and balancing hyperscaler constraints with NetApp differentiation. The role appeals to strategic leaders by offering the chance to shape a foundational data platform for high-impact industries like healthcare and semiconductor design. It features a hybrid work arrangement and a culture that rewards bold thinking, ownership, and the opportunity to drive innovation in a rapidly evolving AI landscape.

This principal-level product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, managing joint go-to-market narratives with Microsoft, and balancing hyperscaler constraints with NetApp differentiation. The role appeals to strategic leaders seeking to shape the future of data infrastructure for high-performance AI pipelines while working within a culture that rewards bold thinking and ownership. The position operates in a hybrid environment designed to foster collaboration and connection.

This role involves hiring experienced Systems Software Engineers to design and optimize core storage and data management technologies for NetApp's ONTAP platform and related products. Engineers will write high-quality C/C++ code to develop features, enhance filesystems, improve performance, and ensure reliability across distributed systems. The position offers the opportunity to work on complex challenges involving scalability, data integrity, and cloud integration while collaborating with cross-functional teams. The role is appealing due to NetApp's focus on innovation in intelligent data infrastructure, a culture that rewards ownership and bold thinking, and a hybrid work environment that balances in-person collaboration with flexibility.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, requiring the owner to define multi-year roadmaps that support training, inference, and agentic workflows. Key responsibilities include translating complex AI patterns into concrete product requirements, managing joint go-to-market initiatives with Microsoft, and driving cross-functional leadership across engineering and sales teams. The role appeals to strategic thinkers who want to shape the future of enterprise data infrastructure while working in a culture that rewards bold innovation and ownership. The position operates within a hybrid work environment that balances in-office collaboration with flexibility.

The Azure Cloud Engineer role is a full-time, in-house position within Bright Vision Technologies, offering 100% remote work across the continental United States. The engineer will design and manage secure, scalable cloud architectures on Microsoft Azure, utilizing infrastructure-as-code tools like Terraform and Bicep. Key responsibilities include operating Azure Kubernetes Service clusters, building automated CI/CD pipelines, implementing robust security and compliance controls, and driving cost optimization initiatives. This position appeals to candidates seeking long-term career growth within a collaborative culture that values technical excellence and innovation. The role involves mentoring junior staff and partnering with development teams to deliver resilient, cloud-native solutions without third-party vendor constraints.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, partnering with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp differentiation in data governance and performance. The role appeals to strategic leaders seeking to shape the future of AI data infrastructure within a culture that rewards bold thinking and ownership. It offers a hybrid work arrangement and the opportunity to drive impact across regulated industries like healthcare, finance, and manufacturing.

This distinguished engineering role within NetApp's Cloud Business Unit focuses on architecting and scaling storage solutions integrated into Amazon Web Services, Microsoft Azure, and Google Cloud. The position involves leading the design of fault-tolerant, high-performance control plane architectures and building modern continuous deployment and quality assurance frameworks for large-scale distributed systems. Key responsibilities include solving complex engineering challenges, mentoring senior engineers, and contributing to intellectual property through patents while maintaining hands-on coding practices. The role appeals to technical leaders seeking to drive innovation in enterprise data infrastructure within a culture that values bold thinking and ownership. It offers a hybrid work arrangement that balances in-person collaboration with remote flexibility.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, focusing on defining multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market strategies, and balancing hyperscaler constraints with NetApp's enterprise differentiation. The role appeals to strategic leaders by offering the opportunity to shape the data foundation for next-generation AI workloads within a culture that rewards bold thinking and ownership. The position operates within a hybrid work environment designed to foster collaboration and innovation.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, enterprise storage, and AI workloads, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp's unique data services. The role appeals to strategic leaders seeking to shape the future of enterprise AI infrastructure while working within a culture that rewards bold thinking, ownership, and innovation. The position operates within a hybrid work environment designed to foster collaboration and connection.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position focuses on defining multi-year roadmaps that integrate AI workloads like training, inference, and RAG with enterprise storage requirements. Key responsibilities include translating emerging AI patterns into product requirements, collaborating with Microsoft teams on joint roadmaps, and driving cross-functional leadership to deliver differentiated platform capabilities. The role appeals to strategic leaders seeking to shape the future of data infrastructure in a high-impact environment. It offers the opportunity to work at the intersection of cloud, AI, and storage while benefiting from a culture that rewards bold thinking and provides flexibility to balance professional ambition with personal life within a hybrid work model.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp differentiation. The role appeals to strategic leaders seeking to shape the future of data infrastructure for high-performance computing and regulated industries. It offers a hybrid work arrangement and a culture that rewards bold thinking, ownership, and the opportunity to drive innovation in a rapidly evolving market.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp differentiation. The role appeals to strategic leaders seeking to shape the future of data infrastructure for high-performance industries like healthcare, manufacturing, and HPC. It offers a hybrid work arrangement and a culture that rewards bold thinking, ownership, and the opportunity to drive innovation in a rapidly evolving AI landscape.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp's differentiation in data governance and performance. The role appeals to strategic leaders seeking to shape the future of AI data infrastructure within a culture that rewards bold thinking and ownership. It offers a hybrid work arrangement and the opportunity to drive impact across regulated industries including healthcare, finance, and high-performance computing.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, balancing hyperscaler co-development constraints with NetApp differentiation, and partnering with Microsoft teams to align joint go-to-market narratives. The role appeals to strategic leaders seeking to shape the future of data infrastructure for regulated industries while working in a culture that rewards bold thinking and ownership. The position operates within a hybrid work environment designed to foster collaboration and connection.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, enterprise storage, and AI workloads, requiring the owner to define multi-year roadmaps that support training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp's differentiation in data governance and performance. The role appeals to strategic leaders seeking to shape the future of enterprise AI infrastructure while working within a culture that rewards bold thinking and ownership. The position operates in a hybrid environment, combining in-office collaboration with remote flexibility to support a dynamic, cross-functional team.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market strategies, and balancing hyperscaler constraints with NetApp's differentiation in data governance and performance. The role appeals to strategic leaders seeking to shape the future of AI data infrastructure within a culture that rewards bold thinking and ownership. It offers a hybrid work arrangement and the opportunity to drive impact across regulated industries including healthcare, finance, and high-performance computing.

This principal product management role leads the AI strategy for Azure NetApp Files, a fully managed enterprise file service developed in partnership with Microsoft. The position sits at the intersection of cloud infrastructure, AI workloads, and enterprise storage, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into concrete product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and balancing hyperscaler constraints with NetApp's differentiation in data governance and performance. The role appeals to strategic leaders seeking to shape the future of AI data infrastructure within a culture that rewards bold thinking and ownership. It offers a hybrid work arrangement and the opportunity to drive impact across regulated industries including healthcare, finance, and high-performance computing.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise file service between NetApp and Microsoft. The position focuses on defining multi-year roadmaps that integrate AI workloads like training, inference, and RAG with enterprise storage capabilities. Key responsibilities include translating emerging AI patterns into product requirements, partnering with Microsoft teams on joint roadmaps, and leading cross-functional efforts to deliver scalable data solutions. The role appeals to strategic leaders seeking to shape the future of AI infrastructure within a culture that rewards bold thinking and ownership. It offers a hybrid work arrangement and the opportunity to drive innovation at the intersection of cloud, storage, and artificial intelligence.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, focusing on defining multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into product requirements, managing joint development with Microsoft teams, and driving cross-functional leadership to deliver differentiated data solutions. The role appeals to strategic thinkers seeking to shape the future of enterprise AI infrastructure within a culture that rewards bold innovation and ownership. It offers a hybrid work arrangement that balances in-person collaboration with flexibility, allowing the incumbent to influence high-impact technology decisions across regulated industries.

This Distinguished Engineer role within NetApp's Cloud Business Unit focuses on architecting and scaling storage solutions integrated with Amazon Web Services, Microsoft Azure, and Google Cloud. The position involves leading the design of fault-tolerant, high-performance control plane architectures and building modern CI/CD and QA frameworks to support hundreds of developers. Key responsibilities include solving complex engineering challenges, mentoring senior engineers, and contributing to intellectual property through patents. The role appeals to hands-on technical leaders who wish to drive innovation in enterprise data infrastructure while working in a culture that values bold thinking and ownership. NetApp offers a hybrid work arrangement that balances in-office collaboration with flexibility, supporting a diverse and inclusive environment where employees can shape the future of multicloud storage.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows while balancing hyperscaler constraints with enterprise data services. Key responsibilities include translating emerging AI patterns into product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and driving cross-functional leadership to deliver scalable data solutions. The role appeals to strategic thinkers seeking to shape the future of AI infrastructure within a culture that rewards bold innovation and ownership. It offers a hybrid work arrangement and the opportunity to influence technology used across major industries including healthcare, finance, and manufacturing.