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About This Role
Company Overview
Hilco Global, a subsidiary of ORIX Corporation USA, is a diversified financial services company that delivers integrated professional services and capital solutions that help clients maximize value and drive performance across the retail, commercial and industrial, real estate, manufacturing, brand and intellectual property sectors, and more. Hilco Global provides a range of customized solutions to healthy, stressed, and distressed companies to resolve complex situations and enhance long-term enterprise value. Hilco Global works to deliver the best possible result by aligning interests with clients and providing strategic advice and, in many instances, the capital required to complete the deal. Hilco Global is based in Northbrook, Illinois and has more than 850 professionals operating on four continents. Visit www.hilcoglobal.com .
Position Overview
Our growing team has an open role for an Associate AI Product Manager to join the CRM and Corporate Intelligence team. The Associate AI Product Manager will report directly to the Senior Director, CRM & Corporate Intelligence. It is an individual-contributor position whose main responsibility is to help identify, develop, and scale AI-powered products, automations, and intelligence capabilities that lead to improved operating efficiency, boost business development, and enhance Hilco’s CRM ecosystem. The person will collaborate with teams covering CRM, Corporate Intelligence, Business Development, Data & Analytics, and Technology in order to turn business requirements into practical solutions, take charge of use cases from concept right through to deployment, and assist with adoption throughout the organization. The individual will need to efficiently handle a variety of tasks in a fast-paced and highly collaborative environment, all under the overall authority of the global company’s Chief Marketing Officer - Head of Global Business Development Operations. The role will use Hilco Global’s wider data and technology ecosystem, including Salesforce, enterprise data platforms, Power BI, automation tools, and approved generative AI solutions, to achieve tangible business results.
Responsibilities
- Developing our own AI products and carrying out the roadmap.
- Find business opportunities in which AI, automation, and intelligent workflows can enhance efficiency, decision-making, data quality, or revenue generation.
- Define the business requirements, product specifications, success criteria, and implementation plans; and oversee the assigned use cases from the ideation and proof-of-concept stages through to testing, deployment, adoption, and continuous improvement.
- Create AI-powered automation and improvements.
- Create and manage solutions that automate repetitive business processes, reporting tasks, data workflows, analysis, and document generation using approved enterprise technologies.
- Work with business stakeholders to redesign workflows, validate outputs, measure time and cost savings, and expand successful solutions across teams.
- Strengthen CRM, data, and relationship intelligence.
- Develop AI-enabled capabilities that improve Salesforce effectiveness, relationship intelligence, data enrichment, classification, cleansing, and business development visibility.
- Connect internal CRM and enterprise data with external market, company, contact, and transaction information to create practical account, relationship, opportunity, and market insights.
- Deliver corporate intelligence and support executive decisions.
- Develop AI-powered intelligence products, dashboards, summaries, and executive briefing capabilities that surface market developments, client activity, emerging opportunities, and business risks.
- Support predictive and AI-assisted analytics using proprietary business data with clear validation, source traceability, assumptions, and appropriate human review.
- Support responsible AI governance, adoption, and change management.
- Apply responsible AI practices, including validation, transparency, data governance, access controls, documentation, and compliance with approved enterprise standards.
Run pilots, gather user feedback, support training and communications, track adoption and business impact, and contribute to AI roadmap and governance discussions. *
Qualifications
- Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Marketing, Finance, or a related field; equivalent relevant experience will be considered.
- 2-5 years of progressive experience in product management, CRM, business intelligence, analytics, workflow automation, business operations, or a related discipline.
- Experience translating business requirements into AI product requirements, workflows, technical specifications, or implementation plans.
- Hands-on exposure to generative AI, large language models, AI copilots, intelligent automation, or related AI-enabled business solutions.
- Experience with Salesforce or another enterprise CRM platform; exposure to CRM data, relationship intelligence, reporting, or business development workflows is preferred.
- Experience with Microsoft Power Platform, Copilot Studio, Power Automate, Power BI, SQL, Python, or comparable technologies is preferred.
- Strong analytical, problem-solving, project-management, and documentation skills, with the ability to manage multiple workstreams and meet deadlines.
Strong written and verbal communication skills, with the ability to work across business and technical teams, explain assumptions and limitations, and handle confidential information. *
Characteristics of success
- Product ownership: Converts business needs into clear requirements, priorities, deliverables, and measurable outcomes.
- Business judgment: Focuses AI and automation efforts on practical commercial, operational, and stakeholder value.
- Execution discipline: Independently drives assigned workstreams, tests rigorously, documents decisions, and escalates risks early.
- Analytical rigor: Validates AI-generated outputs, challenges assumptions, traces sources, and produces defensible results.
- Scalable-builder mindset: Creates reusable products, workflows, documentation, and governance controls rather than one-off solutions.
Collaborative influence and learning agility: Works effectively without formal authority, learns new technologies quickly, and helps users adopt new ways of working responsibly. *
Annual base salary gross: $80,000-$90,000. The base salary range represents the estimated low and high end of Hilco’s salary for this position based on geography. Actual base salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base pay is one component of Hilco’s total compensation package for employees. Other rewards and benefits include cash bonuses, long term incentives, health insurance, accident and life insurance, and retirement benefits.
Hilco Global is an equal opportunity employer. Qualified candidates will be considered on merits and without regard to race, religion, color, national origin, sexual orientation, genetic information, marital status, gender, veteran, or disability status.
Hilco Global strives to comply with all applicable local/state regulations regarding displaying salary ranges. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, Hilco Global is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. https://hilcoglobal.com/careers-about/
Salary Context
This $80K-$90K range is in the lower quartile for AI Product Manager roles in our dataset (median: $193K across 99 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 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Hilco Global, 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 $220,200 based on 862 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $110,408. This role's midpoint ($85K) sits 61% below the category median. Disclosed range: $80K to $90K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
Hilco Global AI Hiring
Hilco Global has 1 open AI role right now. They're hiring across AI Product Manager. Based in Northbrook, IL, US. Compensation range: $90K - $90K.
Location Context
Across all AI roles, 6% (568 positions) offer remote work, while 9,010 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,413 roles, $264,500 median); Los Angeles (1,340 roles, $210,000 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 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). 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 (193) are outnumbered by mid-level (4,500) and senior (3,455) 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 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 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 $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. 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 $253,100 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 (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 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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