Associate AI Product Manager

Hilco Global•Northbrook, IL

13d•Hybrid

About The Position

Hilco Global, a subsidiary of ORIX Corporation USA, is seeking an Associate AI Product Manager to join the CRM and Corporate Intelligence team. This individual-contributor role reports directly to the Senior Director, CRM & Corporate Intelligence. The primary focus is to help identify, develop, and scale AI-powered products, automations, and intelligence capabilities to improve operating efficiency, boost business development, and enhance Hilco’s CRM ecosystem. The position involves collaboration with various teams including CRM, Corporate Intelligence, Business Development, Data & Analytics, and Technology to translate business requirements into practical solutions. The Associate AI Product Manager will manage use cases from concept to deployment and assist with organizational adoption. This role requires efficiently handling diverse tasks in a fast-paced, collaborative environment, operating under the authority of the global company’s Chief Marketing Officer - Head of Global Business Development Operations. The role will leverage Hilco Global’s data and technology ecosystem, including Salesforce, enterprise data platforms, Power BI, automation tools, and approved generative AI solutions, to achieve tangible business results.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

Developing AI products and executing the product roadmap.
Identifying business opportunities where AI, automation, and intelligent workflows can enhance efficiency, decision-making, data quality, or revenue generation.
Defining business requirements, product specifications, success criteria, and implementation plans; overseeing assigned use cases from ideation and proof-of-concept through testing, deployment, adoption, and continuous improvement.
Creating AI-powered automation and improvements to automate repetitive business processes, reporting tasks, data workflows, analysis, and document generation using approved enterprise technologies.
Working with business stakeholders to redesign workflows, validate outputs, measure time and cost savings, and expand successful solutions across teams.
Developing AI-enabled capabilities to improve Salesforce effectiveness, relationship intelligence, data enrichment, classification, cleansing, and business development visibility.
Connecting internal CRM and enterprise data with external market, company, contact, and transaction information to create practical account, relationship, opportunity, and market insights.
Developing AI-powered intelligence products, dashboards, summaries, and executive briefing capabilities to surface market developments, client activity, emerging opportunities, and business risks.
Supporting predictive and AI-assisted analytics using proprietary business data with clear validation, source traceability, assumptions, and appropriate human review.
Applying responsible AI practices, including validation, transparency, data governance, access controls, documentation, and compliance with approved enterprise standards.
Running pilots, gathering user feedback, supporting training and communications, tracking adoption and business impact, and contributing to AI roadmap and governance discussions.