TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: Internship Program Overview We are pleased to offer a 10-week full-time Summer Internship Program, tentatively scheduled from 22 June to 28 August, with interns working five days per week. This program reflects our continued commitment to providing meaningful and challenging learning opportunities for students, while supporting the development of a strong and future-ready talent pipeline. Our internship program is designed to deliver a well-rounded intern experience, combining hands-on work exposure with structured learning and engagement opportunities. Interns will gain practical insight into real business operations, work closely with experienced professionals, and contribute to projects that drive impact across the organization. Throughout the program, interns can expect exposure to: - Professional Development – Building functional and technical skills through real project work aligned with the team’s objectives. - Personal Development – Strengthening soft skills such as communication, problem-solving, project management, and presentation skills. - Mentorship Experience – Receiving guidance and career insights from managers and cross-functional leaders, offering exposure to diverse perspectives and potential career pathways. - Engagement Experience – Participating in company activities, initiatives, and intern engagement events that foster collaboration, learning, and connection. This program aims to equip interns with practical experience, professional confidence, and meaningful exposure to the working world, while enabling them to explore potential long-term career interests. What You'll Bring: Intern, Product Management (Consumer Interactive) will support the team in data research, mobile revamp studies, product brief creation, and daily operational activities. The role involves close collaboration with product managers, project stakeholders, and cross‑functional teams to ensure timely execution and clear communication of product initiatives. Key Responsibilities: - Conduct data research and analysis to support product initiatives and decision‑making - Assist in mobile revamp studies, including research, benchmarking, and documentation - Support the creation and maintenance of product briefs, summaries, and presentation materials - Own coordination of various tactical initiatives and follow‑up actions - Assist in project schedule planning, task prioritization, and milestone tracking - Monitor and update daily, weekly, and monthly project progress - Review communication plans and help prepare internal and external communication materials - Act as a point of contact for project integration across teams and departments - Provide day‑to‑day and ad hoc support to product managers and business leaders as requested Impact You'll Make: - Currently pursuing or recently completed a degree or tertiary programme - Strong analytical, organization, and coordination skills - Basic understanding or interest in product management and digital/mobile products - Good written and verbal communication skills - Ability to manage multiple tasks in a fast‑paced environment - Proficient in common office and collaboration tools - Ability to work in a fast‑paced, cross‑functional environment - Proactive and eager‑to‑learn mindset - Basic knowledge of data analysis tools, dashboards, or wireframing tools - Exposure to mobile or digital product platforms This job is assigned as On-Site Essential and requires in- person work at an assigned TU office location as a condition of employment. TransUnion's Internal Job Title: Intern, Product Management

Role Description We are seeking a highly analytical and hands-on Senior Tech AI/ML Product Manager with deep expertise in Machine Learning and Artificial Intelligence and Product Management. You will define and build a best-in-class job discovery and matching engine that connects users with the most relevant roles for them, at scale. You will own the strategy, discovery, and delivery of AI-powered features, focusing on matching, ranking, and personalization systems. The ideal candidate is an entrepreneurial thinker with an engineering mindset, capable of building rapid prototypes, making decisive calls with imperfect data, and relentlessly driving measurable outcomes. Key Responsibilities - Strategy & Ownership: Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine). Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance. - ML Product Leadership: Translate business problems into ML hypotheses and solutions. Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes. - Hypothesis Validation & Experimentation: Design and execute rapid, pragmatic validation cycles. Formulate clear hypotheses (Problem → Mechanism → Impact → Metric), choose the right validation method (A/B test, shadow model, phased rollout), and make data-driven go/no-go decisions under uncertainty. Be scrappy and effective with limited data or infrastructure. - Structured Problem Solving: Apply critical thinking to decompose complex, ambiguous problems. Cut through noise, prioritize what truly matters, and build simple, effective solutions first. - Cross-Functional Execution: Collaborate closely with Engineering, Data Science, and business teams. Communicate complex ML concepts clearly and align stakeholders on goals, trade-offs, and progress. Expected Outcomes - First 3 Months: - Establish baseline measurement of job supply coverage across the U.S. market, including companies listed in the NASDAQ-100. - Increase the percentage of users who successfully find a job through the platform by 50%, driven by improvements in matching logic and job relevance. - First 6 Months: - Expand job vacancy coverage in the U.S. market, achieving up to 80% coverage of NASDAQ-100 companies and increasing overall coverage by 30%. - Ship a major upgrade to the resume enhancement feature. - Increase the percentage of users who successfully found a job through our platform by 3×. - 12 Months: - Further expand U.S. job vacancy coverage, achieving a 50% increase in coverage of NASDAQ-100 companies compared to the 6-month baseline. - Double the matching success rate, measured as the percentage of matched vacancies approved as relevant by users. - Improve the application-to-offer conversion rate by 50%, directly impacting the core business outcome — successful employment. Qualifications - Strong understanding of ML/LLM fundamentals (NLP, recommendation systems, etc.). - Hands-on experience building and scaling AI-powered features (matching, ranking, personalization). - Practical knowledge of modern AI/ML concepts: evaluation frameworks, RAG, agents, model monitoring. - Ability to define data pipelines, metrics, and work processes with ML engineering teams. - Nice to have: hands-on experience in a Data Science, Data Analyst, or ML Engineer role. - 5+ years of experience in a Product Manager role, preferably in a data-intensive or ML-driven domain (HRTech experience is a strong plus). - Proven ability to formulate and rigorously test product/ML hypotheses using statistical methods (A/B testing, significance, confidence intervals). - Ability to reason about probability, causality, and data limitations to make informed decisions. Requirements - Entrepreneurial & Hands-on: "Let's build it" attitude. Able to create quick prototypes and test ideas without over-engineering. Comfortable with "building with sticks and glue" to learn fast. - Outcome-Oriented: Owns the business result, not just the AI model. Pragmatic and willing to simplify or kill features that don't drive impact. - Thrives in Ambiguity: Can navigate uncertainty, contradictory model results, and noisy data. Structured thinker who can bring clarity to complex situations. - Fluent English and Russian. Excellent ability to communicate with technical (Engineers, Data Scientists) and non-technical stakeholders. Benefits - Remote work - work/life balance. - Competitive package ($100-150k + Equity). - 38 days Off (vacation + local holidays) and sick leave.

Role Description As a Sr. Product Manager, Notifications for Intelligent Solutions Group Urbandale, you will: - Guide John Deere’s strategy for developing and delivering impactful notifications to users of John Deere equipment and technology. - Be responsible for Notifications in John Deere Operations Center, enabling hundreds of thousands of mission-critical messages to customers each year. - Develop, enhance, and deliver value-focused operational updates to customers. - Build the next generation of personalized AI-generated content based on intelligent triggers. - Ensure high-value information gets in the right hands in a timely manner. - Work with enterprise teams across ISG, DA&CS, Customer Success, marketing, and in every production system to enable messages that create confidence and alerts that drive action. Responsibilities Include: - Define and evolve a clear, compelling product vision for Operations Center Notifications and for the AI-powered Newsfeed. - Build, maintain, and socialize the product roadmaps to align to customer outcomes around awareness and value generation and to internal business priorities. - Discover what’s next, clarify customer problems, and develop a unified messaging strategy that maximizes value customer gain from understanding events, information, opportunities in their operations. - Facilitate a cross-functional product team with engineering, UX, and data science teams to deliver a cohesive, high-quality experience. - Collaborate across to manage and maintain approaches and improvements to the products while ensuring the purpose and need for using Notifications to drive Org-based communications is well understood. - Revise and maintain a system of classifying and maintaining customer messages and approach to governing user and org preferences for notification delivery. - Establish and monitor success metrics, using both qualitative insights and quantitative data to inform decisions. - Continuously iterate through experimentation and user feedback to improve clarity, speed, and usefulness of the experience. Qualifications - 6 years of experience in digital/software product development. - 3+ years of experience as a Digital Product Manager working with engineering teams, designers, and customers to discover and craft highly usable experiences. - A track record building and delivering strategy that drives digital products from concept to market. - Demonstrated value resulting from managing and leading collaboratively across-products and across-functions. - Expert-level communication skills, with the ability to effectively communicate with a team and stakeholders. - Pending business needs, travel up to 50%. Requirements - Examples, in production, of usable features you have delivered that make the complicated simple. - Experience working in customer-facing communications platforms across a varied audience. - Hands-on experience or demonstrated understanding of the benefits and risks associated with generative AI in digital products. - Enough technical grounding to engage with Data Scientists and Software engineers to create solutions. - Experience crafting and then advancing product strategy in a complex organization. Education - Bachelor’s degree in Business or a related field (e.g., Agriculture/Ag Tech, Construction or Heavy Equipment, User Experience, Software Engineering), or equivalent relevant work experience. Benefits - Flexible work arrangements. - Highly competitive base pay. - Savings & Retirement benefits (401K and Defined Contribution). - Healthcare benefits with a generous company contribution in the Health Savings Account. - Adoption assistance. - Employee Assistance Programs. - Tuition assistance. - Fitness subsidies and on-site gyms at specific Deere locations. - Charitable contribution match. - Employee Purchase Plan & numerous discount programs for personal use. - Vacation and Holiday Pay. - Salary range: $138,144.00 - $207,216.00 + Benefits.

Role Description Own Application Intelligence at Userlane. You'll shape what we build across App Discovery, HEART Analytics and Portfolio Overview to help enterprise CIOs and IT leaders see where software spending delivers value and where it creates waste. You’ll work on opportunities such as: - Delivering outcome-linked metrics: Evolve our HEART Analytics to connect usage data to business outcomes like cost savings, efficiency and compliance risk that enterprise executives can take action on. - Building for time-poor executives: Design analytics that bring insights to leaders and answers "what should I do?" not just "what happened?". - Scaling portfolio intelligence: Define how to connect engagement, cost and risk data across hundreds of applications, helping executives understand where value is created or lost in their software portfolio. - Connecting fragmented data sources: Define the integration strategy to combine Userlane behavioural data with cost data from SAM tools, license data from IT asset management and employee data from HR systems. - Transforming insights into action: Define what turns raw usage data into insights that drive action, not just dashboards people look at once. - AI adoption governance: Extend analytics to measure how AI assistants and agents affect productivity, cost and ROI. Qualifications - 3-5+ years of product management experience on data/analytics products within a modern product organisation. - Experience building analytics for executives or senior leaders who need insights pushed to them. - Strong understanding of the difference between interesting data and actionable insight. - Ability to start with the business question rather than just the data. - Strong opinions on data visualisation for time-poor executives. - Experience in enterprise B2B (not B2C product analytics); healthcare experience is a strong plus. - Capability to figure out what works by talking to customers and observing product usage. - Ability to explain concepts to engineers, salespeople, support agents, and CEOs alike. - Fluency in English (spoken and written). Benefits - Team & Culture: A high-performance culture with great leadership and a fun, engaged, motivated and diverse team with people from over 20 countries. - Impact: Be part of an empowered cross-functional team given the freedom and autonomy to solve real customer problems. - Product strategy influence: Work directly with our VP Product to shape our 2026-2030 strategy as we expand into new sectors. - Market: Userlane is among the global leaders in the rapidly growing Digital Adoption industry. - Growth: Expect weekly 121s, a personalised skills assessment and development plan, on-the-job coaching, and budget for events and training.