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Company:
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Qualcomm Technologies, Inc.
Job Area:
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Sales, Business Development \& Marketing Group, Sales, Business Development \& Marketing Group \> Business Development
General Summary:
Qualcomm is seeking a Director of AI Partnerships to develop and grow strategic AI ecosystem relationships across North America. This role will be responsible for identifying, shaping, and advancing partnerships that accelerate adoption of Qualcomm AI solutions, strengthen Qualcomm’s position across the AI ecosystem, and create measurable value across compute, edge AI, cloud, software, and emerging AI application domains.
The successful candidate will manage a portfolio of AI partners, including AI startups, cloud providers, software companies, PC ecosystem participants, and strategic industry stakeholders. This role will partner closely with Business Development, Marketing, Product Management, Sales, and internal AI teams to translate ecosystem opportunities into joint plans, go\-to\-market initiatives, commercial proposals, executive engagement, and long\-term partnership outcomes.
Key Responsibilities
- Drive AI partnership strategy: Develop and execute a comprehensive AI partnership strategy that supports Qualcomm’s business objectives and expands the company’s AI startup, software, cloud, and compute ecosystem.
- Build strategic relationships: Build, manage, and grow relationships with AI companies, cloud providers, software partners, PC ecosystem stakeholders, and other key industry participants.
- Lead partner portfolio execution: Serve as the business lead for a portfolio of AI partners, driving engagement cadence, joint planning, opportunity development, and long\-term account success.
- Identify growth opportunities: Identify and develop new partnership opportunities that create value for customers, partners, and Qualcomm business units.
- Orchestrate cross\-functional alignment: Collaborate with Business Development, Marketing, Product Management, Sales, and internal AI teams to align partnership initiatives with broader company priorities.
- Drive go\-to\-market programs: Partner with AI and marketing teams to develop joint marketing programs, industry events, partner communications, and go\-to\-market initiatives.
- Shape AI ecosystem positioning: Gather market intelligence and partner feedback to help inform AI product positioning, messaging, competitive insights, and ecosystem priorities.
- Support commercial execution: Support commercial negotiations, partnership frameworks, and legal agreements that drive business growth and expand Qualcomm’s AI market presence.
- Represent Qualcomm externally: Represent Qualcomm at industry events, customer meetings, and partner engagements to strengthen relationships and promote Qualcomm’s AI vision.
- Monitor market developments: Track AI industry trends, competitive developments, partner announcements, and ecosystem dynamics to identify emerging opportunities.
- Advance Compute AI initiatives: Drive AI partnership initiatives that support Qualcomm’s Compute business, working with AI software providers, PC ecosystem partners, and strategic industry participants to accelerate AI adoption across next\-generation Windows and enterprise computing platforms.
Minimum Qualifications:
- + Bachelor's degree and 10\+ years of Sales, Business Development or related work experience.
OR
Associate's degree and 12\+ years of Sales, Business Development or related work experience.
OR
High School Diploma or equivalent and 14\+ years of Sales, Business Development 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.
This role is U.S.\-based, and is not eligible for visa sponsorship. This position can be based out of Qualcomm's Santa Clara or San Diego's office locations and is expected to comply with the company's onsite work policy.
### Preferred Qualifications
- 12\+ years of experience in business development, strategic partnerships, alliance management, account management, product marketing, or related roles within the technology industry.
- Bachelor’s degree in Business, Marketing, Engineering, Computer Science, or a related field.
- 3\+ years of experience working with AI, cloud, software, semiconductor, PC compute, or technology ecosystem partners.
- Experience managing strategic partner accounts, building executive\-level relationships, and driving cross\-functional account plans.
- Strong familiarity with the AI industry, including AI platforms, models, developer ecosystems, software applications, enterprise AI adoption, and emerging market trends.
- Experience collaborating with product marketing, partner marketing, business development, sales, and go\-to\-market teams to develop joint business initiatives.
- Strong business acumen with the ability to identify partnership opportunities and translate them into measurable business outcomes.
- Excellent communication, presentation, executive presence, and relationship management skills.
- Proven ability to influence and coordinate cross\-functional teams without direct authority.
- Strategic thinker who can balance long\-term partnership objectives with day\-to\-day execution.
- Experience negotiating partnership agreements and managing complex stakeholder relationships.
- Self\-starter with strong organizational skills and the ability to manage multiple priorities in a fast\-paced environment.
- Experience working with the PC software ecosystem, including AI applications, productivity software, developer platforms, enterprise software vendors, or Windows\-based computing environments; familiarity with AI deployment in the PC market is highly desirable.
- Experience working with major AI platform providers, cloud service providers, leading AI software companies, semiconductor, mobile, edge AI, or enterprise technology ecosystems preferred.
- MBA or equivalent business experience preferred.
- Experience leading global or multi\-regional partner and/or marketing relationships preferred.
- Strong AI and PC Compute marketing experience preferred.
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\[email protected] 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 :
$198,400\.00 \- $297,600\.00
The 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 .
Salary Context
This $198K-$297K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Qualcomm, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Director-level AI roles across all categories have a median of $274,554. This role's midpoint ($248K) sits 14% above the category median. Disclosed range: $198K to $297K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Qualcomm AI Hiring
Qualcomm has 11 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, AI Software Engineer. Positions span San Diego, CA, US, Raleigh, NC, US, New York, NY, US. Compensation range: $141K - $301K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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