Own the Agentic Commerce roadmap
· Define and maintain the product vision and roadmap for e.l.f.'s Agentic Commerce channels, aligned to business and AI strategy.
· Sequence investment across the discovery-to-purchase path: agent discoverability, product data and content readiness, agent-friendly offers, and agentic checkout flows.
· Manage the product lifecycle end to end — from concept through launch, measurement, and optimization — with tight feedback loops.
Drive Agentic visibility with the AEO/GEO team
· 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 so AI agents can access, understand, and act on them accurately.
· Help map the agentic discovery journey — from how LLMs source and retrieve data, to how agents cite and convert — and find where intervention compounds.
· Co-build measurement for agentic visibility (citation tracking, share-of-answer, sentiment by engine) and tie it to commerce outcomes.
Support Connected Commerce and CRM for their Agentic needs
· 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 our commerce stack: agent-readable product/offer data, headless and agentic checkout integrations, and connected journeys bridging discovery, personalization, and conversion.
· Support CRM in orchestrating personalized, agent-mediated customer journeys and lifecycle touchpoints.
· Promote consistency and alignment on the Agentic Commerce approach across teams.
Partner cross-functionally and lead execution
· 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 often; make fast, data-informed decisions.
· Identify and mitigate risks to ensure high-quality, responsible, brand-safe delivery.
· Stay ahead of how AI is changing consumer behavior and the agentic ecosystem.