Product Management Intern – AI Products

Xpansiv is the leading infrastructure provider for the energy transition markets.

Our comprehensive platform includes registries, online marketplaces, market execution services, wholesale power solutions, and market data for energy and environmental commodity markets. Trusted worldwide, Xpansiv enables stakeholders to deliver transparent, credible, and auditable environmental claims to address the growing global demand for assurance and accountability on climate action and sustainability performance.

From our founding in 2009 through more than 10 acquisitions, Xpansiv has become a global leader in environmental commodity markets. We are backed by Blackstone and other leading investors.

Position Summary

We are seeking a curious, analytical, and execution-oriented Product Management Intern to support the development and adoption of AI-enabled products and workflow automation initiatives across the organization. Working closely with the SVP, Strategic Projects and cross-functional partners, the intern will help identify high-value use cases, translate business needs into clear product requirements, support rapid prototyping, and measure the impact of AI-powered solutions. This internship is ideal for a student who is interested in the intersection of product management, artificial intelligence, business operations, and user experience.

Key Responsibilities

• Partner with Product, Operations, Technology, and business teams to identify and evaluate opportunities where AI can simplify complex workflows, improve user experiences, or increase operational efficiency.

• Gather, analyze, and document business and user requirements for AI-enabled products, workflow automations, and internal tools.

• Translate business needs into product requirements documents, user stories, acceptance criteria, process maps, and prioritized backlogs.

• Support the discovery, design, prototyping, testing, and rollout of AI product concepts, including proof-of-concept solutions and dashboards.

• Conduct user research, stakeholder interviews, and workflow analysis to understand pain points, validate assumptions, and define measurable outcomes.

• Contribute to AI initiatives across multiple products and business lines

• Develop frameworks and scorecards for measuring AI product success, including adoption, accuracy, time savings, quality, user satisfaction, and business impact.

• Assist with defining MVP scope, prioritizing features, evaluating trade-offs, and maintaining clear product roadmaps and delivery plans.

• Coordinate with cross-functional stakeholders to track milestones, dependencies, risks, decisions, and action items.

• Support product testing by documenting test scenarios, gathering feedback, identifying issues, and validating that solutions meet user and business requirements.

• Research emerging AI capabilities, product management practices, and relevant market trends, and summarize practical implications for the organization.

• Prepare clear presentations, product updates, recommendations, and demonstrations for business and senior leadership audiences.

• Maintain product documentation, decision logs, implementation materials, and user guidance to support successful adoption.

• Apply responsible AI principles by considering data quality, privacy, security, transparency, human oversight, and potential business risks throughout the product lifecycle.

Qualifications

• Currently enrolled in an undergraduate or graduate program in Product Management, Business, Information Systems, Computer Science, Engineering, Data Science, Human-Computer Interaction, or a related field.

• Demonstrated interest in AI-enabled products, automation, digital platforms, or technology-driven business transformation.

• Foundational understanding of product management practices, including customer discovery, requirements gathering, user stories, prioritization, MVP definition, and product metrics.

• Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business challenges.

• Excellent written and verbal communication skills, including the ability to explain technical or complex concepts clearly to non-technical audiences.

• Strong organizational skills and attention to detail, with the ability to manage multiple workstreams and follow through on commitments.

• Comfort working independently and collaboratively in a fast-paced, cross-functional, and geographically distributed en…