Director, Product Management Jobs in San Diego, CA
Director, Product Management jobs in San Diego are concentrated in Sorrento Valley, UTC, and Downtown, with strong demand across defense technology, biotech, and enterprise software. Employers actively hiring include Qualcomm, Petco, and Intuit. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 124+ Director, Product Management jobs
Company:
Qualcomm Technologies, Inc.Job Area:
Operations Group, Operations Group > Product ManagementGeneral Summary:
* Location: San Diego, CA (Preferred) or Santa Clara, CA *
As a member of the Product Management team, directs a comprehensive AI Software product strategy focused on Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute acceleration across CPU, GPU, and NPU architecture . Drives product conception, roadmap definition, ecosystem engagement, and execution through product lifecycle, enabling industry-leading AI experiences on Qualcomm platforms.
The ideal candidate is passionate about advancing AI software technologies and developer ecosystems, translating market requirements into differentiated software products and platform capabilities. This role requires deep expertise in
AI frameworks, inference runtimes, Windows AI software architecture, and emerging Agentic AI workflows.
The candidate will work closely with engineering, ecosystem partners, OEMs, ISVs, Microsoft, and strategic customers to define and deliver next-generation AI software capabilities for AI PCs and edge AI platforms.
Preferred Qualifications
Technical Expertise
Strong understanding of AI inference software stacks, model deployment workflows, and optimization across CPU, GPU, and NPU accelerators.
Deep understanding of ONNX Runtime, Windows ML , Windows AI platform architecture, and AI PC ecosystem requirements.
Experience with PyTorch , ONNX, Ro Cm , Hugging Face, OpenVINO , TensorRT , CoreML , or comparable AI software frameworks.
Strong knowledge of Generative AI, LLMs, multimodal AI, Agentic AI architectures, RAG systems, tool calling frameworks, and AI orchestration solutions.
Understanding of compiler and runtime technologies including MLIR, graph optimization, kernel fusion, quantization, model conversion, and hardware-aware optimization.
Experience analyzing tradeoffs among performance, accuracy, latency, memory footprint, power efficiency, and developer experience.
Familiarity with Windows application development ecosystem and AI SDK integration models.
Knowledge of AI model onboarding and optimization workflows across edge and client platforms.
Product Leadership
8+ years of Product Management, Engineering, Technical Marketing, Solutions Architecture, or related experience.
5+ years leading AI/ML software products or platform technologies.
Proven ability to define software roadmaps and influence cross-functional execution across engineering, business, and ecosystem teams.
Experience driving partnerships with operating system vendors, framework developers, cloud providers, OEMs, and ISVs.
Track record translating customer and ecosystem requirements into product investments and measurable business outcomes.
Business & Communication
Strong executive communication and presentation skills.
Experience engaging customers, strategic partners, and senior leadership.
Ability to lead through influence across geographically distributed organizations.
Demonstrated success driving complex initiatives from concept through commercial deployment.
Principal Duties and Responsibilities
Product Strategy & Roadmap
Define and own the AI software product roadmap for AI PCs and edge AI platforms, spanning inference runtimes, frameworks, developer tools, and ecosystem integrations.
Develop long-term strategy for ONNX Runtime, Windows AI software enablement, and heterogeneous acceleration technologies.
Identify emerging market opportunities and technology trends in GenAI, Agentic AI, multimodal AI, and AI-powered productivity experiences.
Establish product requirements and success metrics aligned with customer needs and business goals.
Ecosystem & Platform Leadership
Drive Qualcomm's engagement with Microsoft, ecosystem partners, framework communities, ISVs, and strategic customers.
Lead platform differentiation initiatives covering ONNX Runtime optimization, Windows AI integration, and AI application enablement.
Influence framework roadmaps to maximize performance and usability on Qualcomm AI PC platforms.
Collaborate with ecosystem partners to accelerate adoption of Qualcomm AI technologies.
Technology & Customer Engagement
Work closely with engineering teams to define software architecture priorities and investment areas.
Evaluate emerging AI technologies and define platform requirements for future hardware and software generations.
Translate customer feedback and market insights into differentiated roadmap strategies.
Define benchmark methodologies, workloads, and evaluation frameworks for AI software performance and usability.
Cross-Functional Execution
Drive alignment across Product Management, Engineering, Business Development, Marketing, and Program Management organizations.
Ensure successful delivery of roadmap commitments and platform capabilities.
Establish KPIs and metrics to measure ecosystem adoption, developer engagement, customer success, and product impact.
Lead executive reviews and provide regular updates on strategy, execution progress, and market trends.
Industry Leadership
Represent Qualcomm in industry forums ( such as UXL, MLPerf ) , partner engagements, conferences, and customer briefings.
Maintain leadership awareness of competitive AI software frameworks, runtimes, developer tools, and ecosystem developments.
Drive innovation that strengthens Qualcomm's position in AI PCs, edge AI, and future intelligent computing platforms.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 8+ years of Product Management or related work experience.
- Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$198,200.00 - $297,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Operations Group, Operations Group > Product ManagementGeneral Summary:
* Location: San Diego, CA (Preferred) or Santa Clara, CA *
As a member of the Product Management team, directs a comprehensive AI Software product strategy focused on Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute acceleration across CPU, GPU, and NPU architecture . Drives product conception, roadmap definition, ecosystem engagement, and execution through product lifecycle, enabling industry-leading AI experiences on Qualcomm platforms.
The ideal candidate is passionate about advancing AI software technologies and developer ecosystems, translating market requirements into differentiated software products and platform capabilities. This role requires deep expertise in
AI frameworks, inference runtimes, Windows AI software architecture, and emerging Agentic AI workflows.
The candidate will work closely with engineering, ecosystem partners, OEMs, ISVs, Microsoft, and strategic customers to define and deliver next-generation AI software capabilities for AI PCs and edge AI platforms.
Preferred Qualifications
Technical Expertise
Strong understanding of AI inference software stacks, model deployment workflows, and optimization across CPU, GPU, and NPU accelerators.
Deep understanding of ONNX Runtime, Windows ML , Windows AI platform architecture, and AI PC ecosystem requirements.
Experience with PyTorch , ONNX, Ro Cm , Hugging Face, OpenVINO , TensorRT , CoreML , or comparable AI software frameworks.
Strong knowledge of Generative AI, LLMs, multimodal AI, Agentic AI architectures, RAG systems, tool calling frameworks, and AI orchestration solutions.
Understanding of compiler and runtime technologies including MLIR, graph optimization, kernel fusion, quantization, model conversion, and hardware-aware optimization.
Experience analyzing tradeoffs among performance, accuracy, latency, memory footprint, power efficiency, and developer experience.
Familiarity with Windows application development ecosystem and AI SDK integration models.
Knowledge of AI model onboarding and optimization workflows across edge and client platforms.
Product Leadership
8+ years of Product Management, Engineering, Technical Marketing, Solutions Architecture, or related experience.
5+ years leading AI/ML software products or platform technologies.
Proven ability to define software roadmaps and influence cross-functional execution across engineering, business, and ecosystem teams.
Experience driving partnerships with operating system vendors, framework developers, cloud providers, OEMs, and ISVs.
Track record translating customer and ecosystem requirements into product investments and measurable business outcomes.
Business & Communication
Strong executive communication and presentation skills.
Experience engaging customers, strategic partners, and senior leadership.
Ability to lead through influence across geographically distributed organizations.
Demonstrated success driving complex initiatives from concept through commercial deployment.
Principal Duties and Responsibilities
Product Strategy & Roadmap
Define and own the AI software product roadmap for AI PCs and edge AI platforms, spanning inference runtimes, frameworks, developer tools, and ecosystem integrations.
Develop long-term strategy for ONNX Runtime, Windows AI software enablement, and heterogeneous acceleration technologies.
Identify emerging market opportunities and technology trends in GenAI, Agentic AI, multimodal AI, and AI-powered productivity experiences.
Establish product requirements and success metrics aligned with customer needs and business goals.
Ecosystem & Platform Leadership
Drive Qualcomm's engagement with Microsoft, ecosystem partners, framework communities, ISVs, and strategic customers.
Lead platform differentiation initiatives covering ONNX Runtime optimization, Windows AI integration, and AI application enablement.
Influence framework roadmaps to maximize performance and usability on Qualcomm AI PC platforms.
Collaborate with ecosystem partners to accelerate adoption of Qualcomm AI technologies.
Technology & Customer Engagement
Work closely with engineering teams to define software architecture priorities and investment areas.
Evaluate emerging AI technologies and define platform requirements for future hardware and software generations.
Translate customer feedback and market insights into differentiated roadmap strategies.
Define benchmark methodologies, workloads, and evaluation frameworks for AI software performance and usability.
Cross-Functional Execution
Drive alignment across Product Management, Engineering, Business Development, Marketing, and Program Management organizations.
Ensure successful delivery of roadmap commitments and platform capabilities.
Establish KPIs and metrics to measure ecosystem adoption, developer engagement, customer success, and product impact.
Lead executive reviews and provide regular updates on strategy, execution progress, and market trends.
Industry Leadership
Represent Qualcomm in industry forums ( such as UXL, MLPerf ) , partner engagements, conferences, and customer briefings.
Maintain leadership awareness of competitive AI software frameworks, runtimes, developer tools, and ecosystem developments.
Drive innovation that strengthens Qualcomm's position in AI PCs, edge AI, and future intelligent computing platforms.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 8+ years of Product Management or related work experience.
- Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$198,200.00 - $297,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
See All 124+ Director, Product Management Jobs in San Diego
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Find JobsDirector, Product Management Job Market in San Diego
Who's Hiring
- Qualcomm76
- Petco10
- Intuit10
- Measurabl10
- Genalyte10
Top Industries Hiring
- Telecommunications38
- Technology & Software38
- Electronics & Hardware38
- Animal Care & Pet Services10
Director, Product Management Jobs in San Diego: Frequently Asked Questions
How do I get a director, product management job in San Diego?
San Diego's strongest hiring pockets for director, product management roles are defense and aerospace contractors in Sorrento Valley, biotech and medtech firms in Torrey Pines and UTC, and enterprise software companies Downtown. Candidates who stand out typically bring cross-functional leadership experience, a history of shipping hardware-adjacent or regulated products, and familiarity with the government contracting culture that shapes many San Diego tech employers.
Which companies hire director, product managements in San Diego?
Companies currently hiring director, product managements in San Diego include Qualcomm, Petco, and Intuit, per current listings on Migrate Mate as of September 2026. San Diego's hiring base leans heavily toward defense primes, life sciences companies, and mid-size software firms with deep ties to the military and research institutions clustered along the I-805 and I-5 corridors.
Are there remote director, product management jobs in San Diego?
Yes, though director-level product management roles that involve cross-team leadership and stakeholder alignment tend to favor hybrid arrangements over fully remote. About 17% of director, product management openings tied to San Diego are remote or hybrid as of September 2026, with most flexibility found in enterprise software and SaaS companies rather than defense or regulated biotech employers. Strategy and roadmap work is most commonly done remotely.
How can I get a director, product management job in San Diego with little or no experience?
The most realistic entry path in San Diego is moving up from a senior PM role at one of the city's defense technology or biotech firms, where cross-functional ownership and program complexity create natural director-track progression. Employers at UCSD-affiliated startups in Torrey Pines and mid-size medtech companies in UTC regularly promote from within. Building experience with hardware or regulated product cycles gives candidates a clear edge over generalist software PMs in this market.
Which industries hire the most director, product managements in San Diego?
Most director, product management openings in San Diego sit in Telecommunications, Technology & Software, and Electronics & Hardware, per current listings on Migrate Mate as of September 2026. San Diego's unique mix of Navy and Marine Corps installations, top-tier research universities, and a mature biotech corridor keeps defense technology, life sciences, and enterprise software consistently at the top of local hiring volume for this role.
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