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About This Role
Job Title: Product Manager I, Key Project Edge AI
Location(s): Tustin, CA \- Onsite
Compensation: $80,000 \- $90,000
About this position:
Advantech is seeking a dynamic and strategic Product Manager to lead the projects and go\-to\-market execution of Edge AI\-related projects. This role is pivotal in aligning internal capabilities with the sales team to drive innovation, growth, and customer success.
This is a high\-ownership role for someone who thrives in technology and customer engagement. You’ll be involved across the full product lifecycle from initial requirement gathering, architecture recommendation, design\-in, and delivery.
Responsibilities:
- Partner with the sales team to engage customers, recommend the most suitable Edge AI solutions based on Advantech's product portfolio and services, and drive project design wins.
- Lead and coordinate Edge AI key projects by collaborating with cross\-functional teams, including application engineering, product management, supply chain, procurement, manufacturing, and quality, to ensure successful project execution and on\-time delivery.
- Serve as the primary project interface between customers, sales, and internal teams to manage project schedules, risks, technical discussions, and issue resolution.
- Work closely with product management and quality teams to resolve product\- and project\-related issues, driving corrective and preventive actions when necessary.
- Collaborate with the marketing team to develop go\-to\-market plans, customer success stories, and solution\-focused campaigns that accelerate Edge AI business growth.
- Coordinate with global teams, including headquarters in Taiwan and regional teams in Asia, on project execution, product updates, and business initiatives.
- Monitor project progress, customer satisfaction, and business opportunities, proactively identifying risks and driving actions to improve project success and customer experience.
- Support strategic customer engagements, solution demonstrations, and technical/business presentations for key Edge AI opportunities.
Required Qualifications:
- 3\+ years of experience in product management, project management, business development, solution engineering, or related roles within the industrial PC, embedded computing, Edge AI, or technology industry.
- Solid understanding of x86 computing platforms, AI hardware ecosystems (e.g., NVIDIA, Intel, AMD), and emerging Edge AI technologies and market trends.
- Strong communication, presentation, and interpersonal skills, with the ability to engage effectively with customers, partners, and executive\-level stakeholders.
- Experience managing customer\-facing projects and collaborating with cross\-functional teams to drive project execution and business success.
- Demonstrated ability to lead multiple projects simultaneously, prioritize tasks, and deliver results in a fast\-paced environment. Self\-motivated, proactive, and solution\-oriented, with strong problem\-solving and decision\-making skills.
- Due to collaboration with global teams across multiple time zones, occasional meetings outside regular business hours may be required.
Preferred Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience is preferred.
- Ability to analyze data, track partnership performance, and report on key metrics and KPIs
- Proficiency in Microsoft Office Suite. Experience with Salesforce.com, social media marketing, and SAP is a plus.
Benefits:
- Competitive salary dependent on experience (DOE)
- Winning culture with a friendly, team\-oriented environment!
- Generous benefits package including medical, dental, vision, long\-term disability, and life insurance.
- Employee Assistance Program (EAP)
- 401(k) with company match
- Education \& personal development reimbursement program
- Generous vacation and paid holidays package
- Company events, and lunches
- Work from home program – once eligible
- Referral Bonus
About Advantech
Founded in 1983, Advantech is a leader in providing trusted innovative embedded and automation products and solutions. Advantech offers comprehensive system integration, hardware, software, customer\-centric design services, and global logistics support; all backed by industry\-leading front and back\-office e\-business solutions. Advantech has always been an innovator in the development and manufacture of high\-quality, high\-performance computing platforms.
We cooperate closely with our partners to help provide complete solutions for a wide array of applications across a diverse range of industries. To realize our corporate vision of Enabling an Intelligent Planet, Advantech will continue collaborating and partnering for Smart city \& IoT Solutions.
World\-class Recognition
Advantech is an authorized alliance partner of both Intel® and Microsoft®. Our customers will find the technologies we use inside our products to be widely compatible with other products in the global marketplace. In 2018 and 2019, Interbrand, the world\-renowned brand consulting firm, once again recognized Advantech efforts to build a trusted, global brand; it also symbolizes a promise we gave to our business partners, which was to do our best to keep building a trustworthy brand that is recognized everywhere in the world. Advantech was selected as Interbrand’s \#5 best Taiwan Global Brand in 2018\.
Work Authorization:
To conform to U.S. Government export regulations (ITAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8\. U.S.C. 1324b(a)(3\), or eligible to obtain the required authorizations from the U.S. Department of State. More information can be found at https://www.pmddtc.state.gov/regulations\_laws/itar.html
Advantech is proud to be an Equal Employment Opportunity employer. We accept applications directly from candidates only and will not be responsible for any recruiting agency fees absent a formal agreement.
Salary Context
This $80K-$90K range is in the lower quartile for AI Product Manager roles in our dataset (median: $188K across 140 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 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Advantech, 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 Required
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 $216,175 based on 270 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($85K) sits 61% below the category median. Disclosed range: $80K to $90K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Advantech AI Hiring
Advantech has 1 open AI role right now. They're hiring across AI Product Manager. Based in Tustin, CA, US. Compensation range: $90K - $90K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 $300,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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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