Q

Qualcomm

Designs mobile chips and licenses wireless patents

Technical Program Manager - GSOC Agentic Execution Enablement, Program Management

Program ManagementConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, or a related field is required.
  • At least 2 years of Program Management or related work experience is required.

Responsibilities

  • Lead execution of strategic Agentic AI initiatives across GSOC.
  • Develop and maintain integrated program plans, roadmaps, milestones, dependencies, risks, and executive status reporting.
  • Establish program governance, operating rhythms, execution metrics, and program review mechanisms to ensure successful delivery.
  • Drive alignment across multiple organizations while balancing competing priorities and resource constraints.
  • Facilitate technical reviews, roadmap discussions, decision-making forums, and executive communications.
  • Drive issue resolution, dependency management, and risk mitigation across participating teams.
  • Track overall agent development activities to ensure alignment toward common system objectives and program milestones.
  • Drive roadmap execution, milestone tracking, dependency management, and readiness reviews for agentic AI initiatives.
  • Track and support benchmark creation and qualification activities for agent deployments.
  • Define and monitor operational metrics, qualification readiness indicators, and program health measurements.
  • Support continuous improvement of agent development processes through stakeholder feedback and data-driven decision making.
  • Track and drive adoption of Qualcomm AI platforms and related AI enablement platforms.
  • Define and monitor adoption, usage, roadmap, qualification, and operational readiness metrics.
  • Gather stakeholder feedback and partner with development teams to prioritize improvements and enhancements.
  • Ensure visibility and awareness across engineering organizations regarding available AI capabilities, roadmap priorities, and deployment readiness.
  • Lead coordination of Company Confidential Information/Secure Asset Management initiatives supporting Agentic AI development, including classification, governance, and lifecycle management for prompts, skills, rollouts, memories, and related AI assets.
  • Partner with GMRD, Cybersecurity, Qualcomm AI Foundations, and engineering stakeholders to define requirements and implement mechanisms that meet security, compliance, and governance requirements while achieving optimal agentic performance.
  • Drive alignment of governance processes, asset management requirements, access controls, qualification criteria, and operational readiness activities associated with Agentic AI solutions.
  • Track execution and closure of security, compliance, and governance-related program milestones.
  • Serve as the primary program management interface between GSOC and Qualcomm AI Foundations teams to ensure alignment of infrastructure, platform capabilities, and roadmap priorities.
  • Manage and coordinate GSOC requests requiring support from Qualcomm AI Foundations, helping consolidate and prioritize requests originating from multiple stakeholder groups.
  • Track and align Qualcomm AI Foundations platforms and GSOC technology roadmaps to ensure dependencies, deliverables, and readiness milestones remain synchronized.
  • Drive visibility, communication, dependency management, and executive reporting related to AI platform enablement initiatives across participating organizations.
  • Identify roadmap gaps, execution risks, and resource conflicts and facilitate resolution through appropriate stakeholder engagement and escalation.
  • Support the shared roadmap required to enable agentic workflows across engineering domains and readiness for deployment into production engineering environments.
  • Coordinate activities across GSOC, GMRD, Qualcomm AI Foundations, Cybersecurity, infrastructure, and engineering organizations.
  • Build partnerships with technical leaders, architects, development teams, and business stakeholders.
  • Communicate program status, risks, decisions, and trade-offs to technical and executive audiences.
  • Operate effectively in fast-paced, highly technical, and evolving environments with multiple stakeholders and competing priorities.

Desired Qualifications

  • A master's degree in Computer Science, Engineering, Information Systems, Business Administration, or a related field.
  • A background in software development, software engineering, platform engineering, AI/ML engineering, or technical product development.
  • Experience with Generative AI, Agentic AI systems, AI agents, copilots, LLM-based solutions, workflow automation, RAG systems, or enterprise AI platforms.
  • Experience working with AI platform deployment, adoption, governance, qualification, or operational readiness programs.
  • Familiarity with cybersecurity, compliance, secure development practices, data governance, or access-control frameworks.
  • Experience building dashboards, KPIs, adoption metrics, roadmap metrics, and executive-level program reporting.
  • Experience driving large-scale cross-functional initiatives involving engineering, infrastructure, security, and business stakeholders.
  • Familiarity with semiconductor development, silicon engineering, validation, emulation, design verification, engineering productivity platforms, or technical infrastructure programs.
  • PMP, PgMP, Agile, Scrum, or equivalent program management certification.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

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