Voice AI Staff Product Manager

Qualcomm; San Diego (CA); On-site; USD 179,200 - 268,800; Full time

Job summary

Qualcomm in San Diego is seeking a Voice AI Product Manager who will define and drive the Voice AI technology across mobile, compute, wearables, and automotive domains.

You will own the end-to-end lifecycle from concept to launch, coordinating with DSP, AI software, OS, and hardware teams to deliver on-device, low-power Voice AI experiences.

The role emphasizes cross-functional leadership, customer ecosystem engagement, and market analysis to differentiate Qualcomm's Voice AI platform.

Qualifications

• Bachelor's degree in engineering, CS, or related field.
• 5+ years in Product Management or related work.
• Experience with audio, voice and/or AI software systems.
• Knowledge of AI/ML pipelines (ASR, NLP, TTS) and low-power embedded systems.
• Experience in a large matrixed organization and with external ecosystem players.

Responsibilities

• Define and drive end-to-end Voice AI product lifecycle.
• Own feature definitions for Voice AI software stack.
• Collaborate with DSP, AI SW, OS, and framework teams to deliver features.
• Meet KPIs for power, latency, and accuracy.
• Develop business cases for new Voice AI features.
• Coordinate with OEMs and ecosystem partners.

Skills

Product management

Voice AI

AI software systems

Cross-functional leadership

Data-driven decisions

Education

Bachelor's degree

Tools

DSPs

NPUs

Embedded OS

Job description

General Summary

This role is responsible for defining and driving Voice AI technology across multiple business units, including mobile, compute, smart glasses, wearables, personal AI, IoT, and automotive. The Voice AI Product Manager owns the end-to-end product lifecycle, from concept and definition through launch and lifecycle management. The role serves as the central point of coordination across engineering and business units to deliver scalable, power-efficient, and high-performance Voice AI user experiences.

Voice AI Stack Ownership

• Voice activation / wake word detection
• Echo cancellation & noise suppression (ECNS)
• Speech recognition (ASR)
• Text-to-speech (TTS)
• Speaker identification / verification
• Speaker diarization (SDZ)
• End-to-end Voice AI / conversational UX
• On-device vs. cloud partitioning
• Hardware and software platform roadmap definition to support the above

Product Strategy & Roadmap

• Define and execute long-term Voice AI product strategy
• Develop and maintain Voice AI software roadmap
• Drive differentiation through:
  • Low-power always-on capabilities
  • On-device intelligence and privacy
• Promote adoption of new Voice AI technologies, features and address industry trends

Product Definition & Execution

• Drive product lifecycle (requirements → development → validation → launch)
• Own feature definition for Voice AI software stack
• Work with engineering teams (DSP, AI SW, OS, frameworks) to:
  • Deliver features
  • Meet KPIs (power, latency, accuracy)
  • Build business cases for new features and investments

Cross-Functional Leadership

• Serve as the product management lead and domain expert with
  • Chipset teams
  • BU/Product teams
  • Audio / Voice software teams
  • AI / ML hardware and software teams
  • OS teams (Android, Windows, Linux)
• Align stakeholders across product, engineering, and customer teams
• Drive cross-functional decision-making and execution

Customer & Ecosystem Engagement

• Work with OEMs and customers, ecosystem partners (cloud, voice AI vendors, ISVs)
• Translate customer needs into product requirements
• Ensure clear Voice AI requirements across platforms and BUs
• Support customer engagements and early enablement
• Coordinate activities with Customer Engineering teams

Market & Competitive Analysis

• Conduct analysis on competing voice AI solutions and trends in on-device vs cloud voice AI
• Identify opportunities for differentiation
• Drive platform positioning and strategy

Go-To-Market & Communication

• Develop product messaging and positioning
• Create technical collateral and presentations
• Deliver customer demos, technical presentations, and executive briefings

Preferred Qualifications

• 7+ years of Product Management or related work experience
• Experience with audio, voice, and/or AI software systems
• Strong understanding of:
  • AL/ML pipelines (Speech Recognition, Natural Language Processing, Text-to-Speech)
  • Low-power / embedded systems (DSPs, NPUs)
• Working in a large matrixed organization
• Experience working with external ecosystem players

Core Competencies

• Analytical thinking and data-driven decision-making
• Strong cross-functional leadership
• Ability to translate customer needs into product requirements
• Strong communication across technical and business audiences
• Ability to drive execution across complex, ambiguous environments

Level of Responsibility

• Works independently with limited supervision
• Drives decisions with organizational impact
• Influences roadmap and platform-level direction
• Solves complex, ambiguous problems requiring multi-domain understanding
• Participates in strategic planning for Voice AI and broader AI platform efforts

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field
• 5+ years of Product Management or related work experience

Pay Range and Other Compensation & Benefits

$179,200.00 - $268,800.00. The pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. Additional benefits include a competitive annual discretionary bonus program and opportunity for annual RSU grants. Highly competitive benefits support employee success at work, home, and play.

Equal Opportunity Statement

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Qualcomm will provide reasonable accommodations to support participation in the hiring process.

Contact Information

If you would like more information about this role, please contact Qualcomm Careers.