AI Product Owner, Agentic Commerce

e.l.f. Beauty•Oakland, CA

9d•Hybrid

About The Position

e.l.f. Beauty is seeking an AI Product Owner, Agentic Commerce to expand its presence and performance in emerging agent-driven shopping channels, including AI assistants, answer engines, and conversational/agentic checkout experiences. This is a hands-on product role focused on the intersection of AI, commerce, and discoverability. The successful candidate will own the roadmap for how e.l.f. appears, is cited, and converts within an ecosystem where shoppers discover, decide, and transact with AI assistance. The role involves close collaboration with the AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) team to enhance e.l.f.'s visibility, share-of-answer, and citations across generative search and AI assistants. Additionally, the Product Owner will partner with the Connected Commerce and CRM teams, serving as their primary product contact for Agentic needs, including integrating agentic discovery into the commerce stack and enabling agent-friendly offers, checkout, and personalized journeys. This is a "builder" role for individuals passionate about the convergence of AI, search, and commerce.

Requirements

5-10 years of relevant experience, with at least 5 years in product management or product ownership owning roadmap, requirements, and delivery.
Hands-on experience in at least one of: AI products, digital/e-commerce commerce, or AEO/GEO/SEO.
Exposure to the agentic commerce landscape and how AI agents impact search, discovery, decisioning, and transaction flows is a strong plus.
Strong understanding of how AI agents and answer/generative engines surface, cite, and act on content.
Ability to write clear, detailed requirements and translate between technical and non-technical stakeholders.
Analytical and experimentation-driven; comfortable with data, dashboards, and reporting tools (GA, Looker/Tableau, Adobe Analytics).
Excellent stakeholder management and communication; ability to influence without authority.
A builder mindset – comfortable deciding with approximately 70% of the data and focused on shipping products.

Nice To Haves

Direct experience with Agentic Commerce, AEO, GEO, or AI-driven search/discovery (in-house or at a platform/agency).
Familiarity with RAG, vector search, structured data, LLM data sourcing and crawler behavior, and making content agent-readable.
Experience with agentic commerce frameworks/protocols and agent-based integrations (agent-friendly feeds, headless/agent checkout).
Experience partnering with Connected Commerce and/or CRM teams on AI-enabled or agentic journeys.
Background in beauty, retail, consumer goods, or high-velocity DTC/e-commerce.
Active immersion in the AI and answer-engine ecosystem.

Responsibilities

Own the Agentic Commerce roadmap, defining and maintaining the product vision and roadmap aligned with business and AI strategy.
Sequence investments across the discovery-to-purchase path, including agent discoverability, product data and content readiness, agent-friendly offers, and agentic checkout flows.
Manage the product lifecycle from concept through launch, measurement, and optimization with tight feedback loops.
Partner with AEO/GEO to grow e.l.f.'s visibility, share-of-answer, and citations across generative search and AI assistants.
Ensure e.l.f.'s products, content, pricing, and offers are structured for AI agents to access, understand, and act upon accurately.
Map the agentic discovery journey, from LLM data sourcing to agent citation and conversion, identifying areas for intervention.
Co-build measurement for agentic visibility (citation tracking, share-of-answer, sentiment by engine) and link it to commerce outcomes.
Act as the central product partner for Connected Commerce and CRM teams building agentic capabilities, assessing needs, defining requirements, and setting success measures.
Enable agent-driven experiences across the commerce stack, including agent-readable product/offer data, headless and agentic checkout integrations, and connected journeys.
Support CRM in orchestrating personalized, agent-mediated customer journeys and lifecycle touchpoints.
Promote consistency and alignment on the Agentic Commerce approach across teams.
Collaborate with engineering, data science, design, content, analytics, and external partners to evaluate solutions and determine paths to market.
Write clear product requirements, specs, and acceptance criteria, including prompts, retrieval logic, structured data, and integration details.
Run experiments, analyze performance, and ship frequently, making fast, data-informed decisions.
Identify and mitigate risks to ensure high-quality, responsible, brand-safe delivery.
Stay informed about how AI is changing consumer behavior and the agentic ecosystem.