Experian Consumer Services is seeking a
Product Manager – Generative AI Experiences
to help shape and scale AI-powered conversational products, including the
Experian Virtual Assistant™ (EVA)
and off-property Generative AI conversational experiences. This role will report into the EVA product leadership team and help advance our mission to deliver an AI financial assistant that uses natural language to anticipate needs, automate actions, and orchestrate tools.
As the Product Manager for Generative AI Experiences, you will help define, build, iterate, and improve conversational AI products that drive stronger self-service, deeper engagement, and better monetization outcomes. You will work across product, engineering, design, data science, analytics, compliance, and operations to deliver AI-powered experiences that are more helpful, more personalized, and more effective than traditional digital support flows.
Role and Responsibilities
Help drive product discovery, roadmap definition, and execution for EVA and related Generative AI assistant experiences across owned and/or off-property surfaces.
Build conversational product experiences that increase
digital self-service
and reduce reliance on call center support.
Identify and prioritize opportunities for AI-driven conversations to improve
consumer engagement
, task completion, and retention.
Partner on monetization use cases, including personalized offers, recommendations, and conversion-oriented conversation flows that create value for both consumers and the business.
Define and optimize AI-powered user journeys that feel more helpful, personalized, and effective than traditional human-assisted or static digital experiences.
Contribute to the development of
agentic experiences
that can safely take actions on behalf of consumers, such as orchestrating tools, completing workflows, and resolving financial tasks.
Translate consumer problems, business goals, and technical constraints into clear product requirements, user stories, and experimentation plans.
Work closely with engineering, data science, project managers and design teams to launch iterative improvements to conversational experiences, including prompting, flow design, memory/context handling, and orchestration logic.
Success in This Role
Increase self‑service adoption and reduce avoidable call‑center contacts.
Improve customer engagement through relevant, natural, and high‑value AI‑driven conversations.
Drive monetization through personalized conversational experiences and targeted offers.
Create differentiated assistant experiences that are proactive, context‑aware, and action‑oriented.
Advance
EVA
toward more intelligent, agentic financial assistance for consumers.
Bachelor’s degree in Engineer, Business/Marketing, or a technical field preferred
Overall 1o to 13 years of experience, including 3–5 years of product management experience, preferably in consumer products, fintech, AI/ML products, or digital platforms
Experience shipping customer-facing digital experiences in collaboration with engineering, design, and analytics teams
Strong product sense with the ability to identify customer pain points and translate them into clear product requirements and measurable outcomes
Strong analytical mindset and comfort using data to prioritize opportunities, define success metrics, and evaluate results
Excellent written and verbal communication skills, including the ability to simplify complex technical concepts for diverse stakeholders
Ability to work effectively across cross-functional teams in a fast-paced environment
Experience writing user stories, defining MVPs, and managing product delivery in Agile development environments
Passion for customer experience, consumer advocacy, and building intuitive, high-impact products
Preferred Qualifications
Experience with Generative AI, LLMs, conversational AI, chatbots, virtual assistants, or related AI-powered product experiences
Familiarity with prompt design, conversational UX, orchestration patterns, evaluations and/or agentic workflows
Background in consumer financial services, subscriptions, financial wellness, or regulated industries
Experience with experimentation, funnel optimization, or personalization in digital product environments
Experience partnering with globally distributed engineering and product teams
Understanding of privacy, compliance, and trust considerations in AI-enabled consumer products
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