Interested in this AI Product Manager role at ASUS COMPUTER INTERNATIONAL?
Apply Now →About This Role
Asus Edge Computer Business Unit delivers a focused portfolio of Edge AI compute solutions across five key categories: Intelligent Edge Computers, Edge Server, AI Accelerators, Industrial Motherboards, Single Board Computers, and the Tinker Board series.
These platforms form the foundation for deploying high-performance, low-latency AI inference and training directly at the edge - empowering industries such as healthcare, retail, and advanced automation to process data in real time without cloud dependency.
We are seeking a Business Development Manager (BDM). This position requires engaging with potential clients to showcase ASUS’s cutting-edge PC/IoT products, understanding client needs, and delivering OTS, Customized/ODM solutions that align with their business objectives, especially in Manufacture, Surveillance and Medical market and accelerate revenue growth.
Essential Duties and Responsibilities* Conduct targeted cold calling, email outreach, and proactive prospecting to identify and qualify potential leads for ASUS Intelligent Edge Computers in healthcare, retail, and industrial automation sectors.
- Support the execution of go-to-market activities, including outreach to system integrators, ISVs, and OT SIs to help expand channel partner engagement and accelerate Edge AI adoption.
- Build and maintain relationships with Enterprises, Machine Builders, Manufacturers, and OT SIs through regular follow-ups, meetings, and ongoing communication to position ASUS Edge AI solutions effectively.
- Prepare and deliver technical presentations, product demonstrations, and proof-of-concept sessions (e.g., showcasing NVIDIA Jetson or NPU-accelerated performance and rugged fanless designs) for clients, webinars, and industry events.
- Gather market feedback and customer requirements to assist the Product Management and R&D teams in refining Edge AI product roadmaps and solution offerings.
- Track and maintain a healthy sales pipeline, update CRM records, help achieve team targets, and provide regular reports on lead generation and deal progress to help achieve team sales targets.
- Assist in organizing participation at trade shows, conferences, and customer visits, including demo setup and on-site support.
- Research target accounts, industry trends, and competitive landscape to identify new business opportunities.
- Collaborate with internal teams (marketing, technical support, sales) to ensure smooth lead handoff and customer onboarding.
- Monitor and report on key performance metrics such as number of calls, qualified leads, meetings booked, and conversion rates.
Knowledge and Skills
- Ability to work confidently in a rapidly changing, fast-paced, results-oriented corporate environment where flexibility is required.
- Excellent written and verbal communication skills in English, including the ability to call, connect, and interact with potential customers.
- Persuasive, goal-oriented approach with an ability to build customer relationships, communicate technical value, and influence purchasing decisions.
- Demonstrated and proven sales results
Required Qualifications:Years of Education
- Bachelor’s degree in technical or business degree
Work Experience
- 3-5 years of experience in Computer hardware/or IPC related business development or account management
- Proven experience driving Edge AI computer channel and client development, including setting demand creation goals, coaching partners on ASUS’s edge-optimized hardware (Intelligent Edge Computers, AI Accelerators, Industrial Motherboards, SBCs), and evaluating performance against revenue and pipeline metrics.
- Demonstrated success generating new business, developing channel partnerships, and managing opportunities from prospecting through commercial close.
- Experience managing a sales pipeline, preparing forecasts, and achieving assigned revenue targets.
Working Conditions:
- Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
- 35%-50% Traveling is required (domestic and international)
$120K~$175K total package annually is the estimated pay range for this role working in California remote home office. The final amount will be determined based on the qualifications & experience of the candidate related to the role. Our employee comprehensive benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k). ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.
Salary Context
This $120K-$175K range is in the lower quartile for AI Product Manager roles in our dataset (median: $194K across 123 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 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At ASUS COMPUTER INTERNATIONAL, 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 $220,200 based on 947 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($147K) sits 33% below the category median. Disclosed range: $120K to $175K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
ASUS COMPUTER INTERNATIONAL AI Hiring
ASUS COMPUTER INTERNATIONAL has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $175K - $175K.
Remote Work Context
Remote AI roles pay a median of $188,000 across 2,316 positions. About 6% of all AI roles offer remote work.
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 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 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 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). 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 (106) are outnumbered by mid-level (4,384) and senior (3,343) 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 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 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 $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. 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 $256,000 median, while Prompt Engineer roles sit at $141,440. 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 (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 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
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.