What You'll Be Doing:
Own DOCA work end-to-end – from strategy and prioritization to release – incorporating signals from hyperscalers, CSPs, and the developer ecosystem.
Lead and grow a team of product managers, setting direction, developing talent, and maintaining cross-functional alignment with engineering, architecture, and GTM.
Champion DOCA SDK adoption with developers and partners, defining new APIs, libraries, and microservices that unlock new deployment architectures.
Drive requirements for end-to-end platform capabilities, covering accelerated datapath provisioning, multi-tenant network isolation, and offload lifecycle management – feeding into a complete, production-ready DOCA solution for AI factory and cloud deployments.
Collaborate deeply with multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.
Build positive relationships with customers and ecosystem partners. Listen carefully to their technical needs. Provide expert mentorship and support broad AI implementations that advance their strategic goals.
Create use cases and reference applications to demonstrate product value to technical and executive audiences.
Drive competitive intelligence and market analysis to identify gaps and opportunities across the DPU software landscape, informing both near-term priorities and long-term platform strategy.
What We Need to See:
BSc/MSc in Computer Science, Software Engineering, or related field; or equivalent experience.
15+ years of overall experience as product management in systems software or networking, and 5+ years leading PM teams and cross-functional leadership at scale
Demonstrated experience leading and developing product management teams in complex, multi-stakeholder environments
Expertise in cloud technologies, Linux, User Space, RDMA, DPDK, Kubernetes, cloud storage, and accelerated networking (InfiniBand, Ethernet).
Strong ability to translate customer and business insights into networking software solutions, with a focus on cloud providers, enterprises, integrators, and vendors.
Great balance of deep systems software knowledge with business acumen – equally fluent in API design tradeoffs and revenue/GTM conversations.
Proven success working with Enterprise clients and top Cloud Service Providers on product releases and large-scale AI deployments.
Advanced analytical and product/project management skills in dynamic, technical environments.
Excellent communication skills in both technical and business contexts.
Ways to Stand Out from the Crowd:
Strong background in Data Center networking, networking powered by artificial intelligence, storage, and security techniques.
Proven leadership in embedded software development, from networking infrastructure to application-level innovation.
Track record of growing developer ecosystems around a platform SDK – driving adoption metrics, community engagement, or ISV integrations.
Hands-on experience with DPU offload architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge.
Extensive product management experience in international organizat המשרה מיועדת לנשים ולגברים כאחד.
