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About This Role
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong\-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer\-Value Creation' and 'People\-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work, and create value. At LG, you're encouraged to take a creative and individual approach to challenges, with a strong emphasis placed on performance and skill—and equal, merit\-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry\-leading benefits. Come join the team!
Be with the Industry Innovation Leader
We are currently seeking a Channel Development Manager to join our Air Conditioning Technologies Team!
The Channel Development Manager leads the strategy and execution of partner\-facing marketing programs that drive sell\-in, sell\-through, and loyalty across distributors, manufacturer reps, contractors, and strategic accounts. This role owns channel program design (MDF/co\-op, promotions, SPIFFs, rebates), through\-channel demand generation, and partner enablement to accelerate growth for residential and/or commercial HVAC portfolios. The position partners closely with Sales, Product Management, Marketing Operations, and Training to plan and launch programs that increase brand preference, capture share at the counter and jobsite, and deliver measurable pipeline and revenue.
Essential Duties and Responsibilities include the following:
Channel Strategy \& Partner Growth
- Build the annual channel marketing plan aligned to revenue targets, product roadmaps, and regional priorities.
- Develop joint business plans with priority distributors and rep agencies; set goals, KPIs, and co\-funded initiatives.
- Segment partners (tiering) and define benefits, incentives, and requirements to drive performance and loyalty.
Program Design: MDF/Co‑op, Promotions \& Incentives
- Own MDF/co\-op strategy, policy, claims, and budget governance; improve utilization and ROI.
- Design seasonal promotions, SPIFFs, rebates, and bundle offers for NPI and base business; ensure compliance.
- Coordinate with Finance and Legal on eligibility rules, claims auditing, and tax/regulatory considerations.
Through‑Channel Demand Generation (TCMA)
- Launch through\-channel campaigns (email, paid/local digital, social, search, events) that partners can easily activate.
- Manage partner portal/PRM and TCMA platforms (content syndication, ad funds, campaign\-in\-a\-box).
- Deliver localizable assets: counter flyers, landing pages, sell sheets, spec sheets, case studies, videos, and playbooks.
Partner Enablement \& Training
- Drive contractor and distributor enablement: certification programs, webinars, and counter training with Sales/Training.
- Equip partners with sales tools (selectors, calculators, configurators) to speed quoting and close rates.
- Align with Service and Tech Support to ensure the post\-sale experience reinforces brand loyalty.
Events, Trade Shows \& Local Activation
- Plan regional events (Utility/energy conferences, roadshows, counter days) to generate partner demand.
- Provide market development kits for branch\-level activations and local lead capture.
Analytics, Insights \& Continuous Improvement
- Build dashboards for MDF usage, campaign activation, MQLSQL conversion, partner contribution, promo lift, and ROI.
- Use POS/ship‑through data, CRM, and marketing analytics to optimize mix, targeting, and offer design.
- Conduct win/loss and voice\-of\-partner feedback loops to refine programs.
Leadership \& Cross\-Functional Collaboration
- Lead and develop a team of channel marketers, coordinators, and/or agencies.
- Influence cross\-functionally with Sales, Product, Finance, Legal, and Marketing Ops to ensure on\-time execution.
- Manage agencies and vendors; enforce brand and compliance standards across all partner\-facing materials.
Qualifications
- Bachelor's degree in Business, Communications, or a related field.
- 7\+ years in channel or trade marketing within HVAC, building technologies, or industrial B2B.
- Proven success with co\-op/MDF, promotions, incentives, and through\-channel marketing at scale.
- Experience with PRM/partner portals, TCMA, CRM (e.g., Salesforce), and marketing automation (e.g., Marketo/Eloqua).
- Strong analytical skills; proficiency with dashboarding/BI tools and POS/ship\-through analysis.
- Excellent stakeholder management; ability to simplify technical content for contractor audiences.
Benefits Offered Full\-Time Employees:
- No\-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
- Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
- Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
- Performance based Short\-Term Incentives (varies by role).
- Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
- Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
- Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
- Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973\-477\-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
At LG, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Consistent with our commitment to providing equal opportunity and embracing diversity, LG has implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied*.*
Salary Context
This $90K-$105K range is in the lower quartile for AI Product Manager roles in our dataset (median: $174K across 475 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 26,159 AI roles we're tracking, AI Product Manager positions make up 2% of the market. At LG Electronics, 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 $204,600 based on 532 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($97K) sits 52% below the category median. Disclosed range: $90K to $105K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
LG Electronics AI Hiring
LG Electronics has 11 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Positions span Englewood Cliffs, NJ, US, Alpharetta, GA, US, Washington, DC, US. Compensation range: $58K - $304K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 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 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 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 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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