
Director, Product Management - Data Center AI Software Stack
- San Diego, CA
- Permanent
- Full-time
Product ManagementGeneral Summary:Join Qualcomm's Data Center Business Unit as a Director of Product Management, where you will own and advance our end-to-end AI software stack for next-generation data centers. You'll shape products spanning orchestration, frameworks, compilers, runtimes, and observability-enabling hyperscale and enterprise customers to deploy and scale AI training and inference at cloud scale.Key Responsibilities:
- Define and drive the product vision and roadmap for AI data center software, including:
- Lead cross-functional teams of software architects, engineers, DevOps, and QA to deliver integrated solutions that maximize performance-per-watt and utilization of Qualcomm AI accelerators.
- Conduct deep market and technical analysis to identify trends in model parallelism, inference pipelines, and MLOps-translating findings into product requirements.
- Partner with hyperscale cloud providers, OEMs, and system integrators to co-develop reference architectures, PoCs, and early deployments, ensuring smooth integration into customer environments.
- Collaborate with silicon and firmware teams to align hardware capabilities with software features, driving end-to-end optimizations and SDK/tool support.
- Drive go-to-market planning in partnership with marketing and sales: develop competitive positioning, pricing, reference designs, and enablement programs.
- Mentor and build a high-impact product management organization, fostering a data-driven culture and technical rigor.
- 8+ years of Product Management or related work experience.
- Ph.D. or equivalent experience in systems, compilers, or machine learning systems.
- Hands-on experience with MLOps platforms, model registries, CI/CD pipelines for AI workloads.
- Contributions to open-source AI or orchestration projects (e.g., Kubernetes SIG-AI, ONNX).
- Familiarity with emerging trends: serverless inference, disaggregated architectures, DPUs, edge-to-cloud AI pipelines.
- 10+ years of product management experience, including 5+ years focused on AI infrastructure software.
- Deep technical expertise in AI frameworks, orchestration platforms, compiler stacks, and observability tools.
- Proven track record launching complex software products that integrate closely with custom silicon.
- Strong understanding of distributed systems, cloud-native architectures, GPU/accelerator virtualization, and performance tuning.
- Excellent analytical skills, financial modeling, and competitive benchmarking capabilities.
- Outstanding communication and storytelling skills, able to translate technical detail into strategic business impact.