AI Product Owner, Intelligent Operations

e.l.f. Beauty•Oakland, CA

44d•$110,000 - $140,000•Hybrid

About The Position

e.l.f. Beauty is seeking an AI Product Owner, Intelligent Operations to lead the AI roadmap for their Operations, Finance, and HR systems. This role focuses on transforming AI from experimentation into measurable productivity gains within the back office. It's a hands-on product position at the intersection of AI and enterprise operations, where the owner will be accountable for AI-enabled solutions that enhance core processes in supply chain, inventory, finance, accounting, and HR. The role involves cross-functional partnerships with various departments to identify high-impact use cases, redesign processes for agent-driven automation, and bring solutions from concept to adoption and value generation. The ideal candidate will understand complex enterprise systems and processes and identify opportunities for AI to improve speed, intelligence, and simplicity.

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 delivering AI, automation, or digital transformation initiatives across enterprise functions, ideally spanning more than one of Operations, Finance, or HR.
Strong process orientation: ability to map end-to-end processes, spot automation-ready opportunities, and drive transformation, not just deliver software.
Familiarity with AI/ML and GenAI (agents/copilots, RAG, LLM integration, intelligent automation) and how they reshape process design.
Ability to write clear, detailed requirements and translate between business stakeholders (Ops, Finance, HR) and technical teams (engineering, data, IT).
Experience leading complex, cross-functional programs and influencing stakeholders up to executive level without authority.
Analytical and outcomes-driven: comfortable building ROI cases, running experiments, and measuring adoption and value.
A builder mindset — comfortable deciding with ~70% of the data and focused on shipping.

Nice To Haves

Background in supply chain, inventory, finance, or enterprise apps (ERP, HCM, finance, planning, CRM platforms and their modules).
Direct experience owning AI roadmaps for Operations, Finance, or HR systems in-house or at a platform/consultancy.
Experience with enterprise systems (e.g., SAP, Oracle, Workday, NetSuite, Salesforce, Anaplan) and integrating AI/automation into them (APIs, middleware, RPA).
Experience with AI agents and automation platforms (e.g., Copilot Studio, agent platforms, UiPath/Power Automate-style RPA).
Background in beauty, retail, consumer goods, or another high-velocity operations environment.
Familiarity with AI governance, data quality, and compliance in regulated/enterprise contexts.

Responsibilities

Own the Intelligent Operations AI roadmap, defining and maintaining the product vision and roadmap for AI across enterprise systems (Operations, Finance, HR) aligned with business and AI strategy.
Identify, prioritize, and sequence high-impact AI/automation use cases across supply chain, inventory, finance, accounting, and people processes.
Manage the product lifecycle end-to-end, from opportunity framing through delivery, adoption, and measured outcomes, with tight feedback loops.
Transform fragmented tools, data, and processes into cohesive, secure, and reliable AI solutions.
Partner cross-functionally with Operations, Finance, Accounting, HR, and People Development teams, acting as the central product partner to assess needs, define requirements, and establish success measures for AI initiatives.
Redesign and transform business processes around agent-driven automation, rather than just applying AI to legacy workflows.
Enable AI-driven capabilities across the enterprise stack, including intelligent automation, predictive analytics, copilots and agents, anomaly detection, and AI-assisted workflows (e.g., invoice automation, demand forecasting, inventory optimization, recruitment, onboarding, finance close).
Translate business and functional requirements into clear product requirements, specifications, and acceptance criteria for engineering, data science, and IT teams.
Drive delivery, adoption, and measurable value by designing and leading pilots and structured experiments with clear hypotheses, rollout criteria, and measurable outcomes.
Own the backlog, roadmap, priorities, and communication of progress and outcomes to stakeholders up to the executive level.
Drive adoption through enablement, training, SOP updates, usage metrics, and continuous improvement based on feedback.
Build ROI cases, track realized value, and justify AI investments.
Operate within governance and partner with technical teams, working hands-on with enterprise platforms (e.g., ERP, finance, planning, OMS) and their integrations.
Operate within AI governance, data, security, privacy, and compliance standards, managing risks and escalating blockers.
Partner with engineering, data science, IT, security, and external vendors to evaluate solutions and determine paths to market.