Director, Program Management - Qualcomm Insight Platform (QIP)

* Own and drive integrated execution of QIP software programs, spanning AI frameworks, SDKs, models, video analytics pipelines, tooling, optimization, and platform enablement from planning through GA and customer rollout - across edge, on-prem, and cloud deployment models.

* Provide portfolio-level oversight across multiple AI initiatives and products, enabling alignment across platform, silicon, and solution layers - including vertical deployments across public safety, smart spaces, retail, and industrial markets.

* Partner with Product Management to translate strategy and roadmaps into executable plans with clear milestones, priorities, and dependencies.

* Serve as the primary interface to senior and executive leadership for program status, risks, trade-offs, and execution decisions.

* Drive cross-functional alignment with Core SW/Platform SW, Tools, QA, DevRel, and Customer Engineering teams to ensure QIP software readiness across edge, on-prem, and cloud delivery models.

* Establish and enforce program governance, including execution metrics, milestone reviews, dependency management, and change control.

* Proactively identify cross-program risks and execution bottlenecks, especially those impacting customer commitments or external releases, and drive mitigation.

* Lead execution rigor and operational excellence across the QIP Software Program Management team, continuously improving predictability and quality.

* Develop and manage Plans of Record (POR) for multiple high-complexity QIP software programs, including schedules, resource planning, and dependency tracking across hardware, software, and cloud components.

* Drive disciplined execution across globally distributed teams (US, India, China), ensuring consistent cadence and clear accountability.

* Balance innovation velocity with execution discipline, enabling rapid iteration while protecting internal and customer milestones.

* Represent QIP software execution in cross-org and executive reviews, including alignment with GTM, Sales, and Product Management leadership.

* Coordinate end-to-end product readiness across hardware, firmware, software, and cloud layers - ensuring integrated delivery from silicon bring-up through customer deployment.

This is an office based position located in Santa Clara, CA and is expected to comply with the company's onsite work policy.

- Bachelor's degree in Engineering, Computer Science, or related field.

- 8+ years of Program Management or related work experience.

* 8+ years of experience in software program management for AI, IoT, platform, or enterprise software products.

* Demonstrated experience shipping complete, integrated products encompassing hardware, software, and cloud components - from design through customer delivery.

* Experience delivering edge AI or computer vision-based platforms, including on-device inference and real-time performance constraints.

* Hands-on experience managing programs that span device (edge/on-device), AI (models, inference, pipelines), and cloud (SaaS, orchestration, CI/CD) layers.

* Strong understanding of hardware/software co-planning, platform dependencies, and scalability considerations.

* Prior experience working closely with Product Management and Sales to support product launches and revenue outcomes.

* Strong executive communication skills, with the ability to clearly articulate execution status, risks, and trade-offs.

* Experience operating in fast-paced, ambiguous environments with competing priorities and customer-driven timelines.

* Familiarity with video analytics, physical security, VSaaS platforms, or AI-driven enterprise software systems.

* Experience with AI/ML software stacks, platforms, SDKs, or developer ecosystems.

* Familiarity with AI frameworks, model lifecycle management, deployment workflows, performance optimization, and tooling ecosystems.

* Experience managing software programs that span platform, solutions, and customer-facing deliverables.

* Proven track record of shipping full-stack, integrated products that include hardware components (e.g., SoCs, edge devices, embedded systems), firmware, software stacks, and cloud services - with accountability across the entire product lifecycle from design through GA.

* Performance, power, and memory optimization across heterogeneous compute (e.g., NPU/DSP/GPU/CPU).

* Coordination of HW/SW co-design considerations impacting AI performance and scalability.

* Integration and delivery of edge AI SDKs, APIs, and developer enablement assets.

* AI model lifecycle management - from training and validation through on-device deployment and iteration.

* Coordination of AI framework and toolchain dependencies across engineering teams.

* Management of AI performance benchmarking, optimization cycles, and quality gates.

* Experience enabling AI capabilities across heterogeneous compute (NPU, DSP, GPU, CPU).

* Working knowledge of Cloud platforms and cloud-edge hybrid workflows, including:

* Cloud-based development, training, validation, and CI/CD pipelines.

* Deployment models that bridge cloud training/orchestration with edge inference and optimization.

* Understanding of customer and partner use cases that span edge, cloud, and hybrid architectures.

* Familiarity with multi-tenant SaaS delivery, cloud security, and enterprise-grade scalability.

* Experience with vertical market deployments across public safety, smart spaces, retail, and/or industrial segments.

* Proven success operating in high-ambiguity, fast-paced environments, balancing innovation velocity with execution discipline and customer commitments.