Product Manager, Enterprise AI

Vuori•Carlsbad, CA

About The Position

As AI Product Manager, you will maintain Vuori’s AI product roadmap and guide AI capabilities through successful delivery. You will work closely with AI engineers, business stakeholders, and design to focus the team on the right problems, make requirements clear and actionable, and track progress from concept through production. The role suits a product practitioner energized by shipping AI, translating stakeholder needs into crisp requirements, removing blockers, and assessing whether delivered capabilities work for users and the business. You will maintain a current, well-sequenced, and visible roadmap that reflects business priorities, engineering capacity, and active work. You will surface and assess AI opportunities with business and technology leaders, facilitate prioritization and trade-off decisions, communicate roadmap and delivery updates, and flag risks and dependencies early. You will translate business and user needs into product specifications, user stories, and acceptance criteria; work alongside AI engineers throughout delivery; participate in agile ceremonies; and manage launches from rollout planning through go-live readiness and post-launch monitoring. You will also build relationships with business teams, operations, merchants, and marketing; work with engineering and data teams to track technical, user, and business outcomes; synthesize feedback and usage data into continuous improvement work; advocate for end users; and provide data-grounded progress and impact updates to senior leadership.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent years of experience; listed as preferred.
At least 5 years of product management experience, including at least 2 years working on AI, machine learning, or data-driven products shipped to real users in production environments.
Demonstrated track record managing a product roadmap and delivering features end to end with measurable business outcomes.
Ability to listen to stakeholders and users and translate their needs into clear, actionable product requirements.
Working knowledge of AI and machine learning concepts sufficient to hold substantive conversations with engineers and make grounded trade-off decisions.
Experience tracking and reporting AI product performance using technical and business success metrics.
Excellent written and verbal communication skills, with the ability to adapt to engineering, design, business, and executive audiences.
Comfort with ambiguity, bias toward action, and strong organizational and follow-through skills.

Nice To Haves

Experience shipping LLM-powered products, conversational AI, recommendation systems, or agentic workflows to production users.
Familiarity with AI evaluation approaches, responsible AI principles, and considerations for deploying AI features to real users at scale.
Experience with enterprise AI or SaaS platforms such as Microsoft Copilot, Azure AI, or similar.
Comfort working with data using SQL, BI dashboards, or A/B testing frameworks to independently assess product performance.
Experience in retail, e-commerce, direct-to-consumer, or a similar consumer operating environment.
Curiosity about emerging AI technologies and a history of bringing new capabilities to market.

Responsibilities

Maintain and manage a current, well-sequenced AI product roadmap that reflects business priorities, engineering capacity, and active development.
Work with business and technology leaders to identify AI opportunities, assess their value, and prioritize them through a structured process.
Facilitate trade-off discussions between stakeholders and engineering teams, balancing impact, feasibility, and timing.
Communicate roadmap changes, sequencing decisions, and delivery status regularly and clearly.
Identify risks and dependencies early so teams can adapt before they become blockers.
Translate business needs and user requirements into detailed product specifications, user stories, and acceptance criteria.
Partner with AI engineers during delivery by answering questions, clarifying scope, reviewing work in progress, and making informed scope decisions.
Participate in agile ceremonies, including sprint planning, reviews, and retrospectives.
Manage launches end to end, including rollout plans, stakeholder communication, go-live readiness, and post-launch monitoring.
Follow up after launch to verify outcomes and surface issues for resolution.
Build working relationships with business teams, operations, merchants, and marketing to understand workflows, pain points, and potential AI use cases.
Work with engineering and data teams to measure AI features against technical measures and user and business outcomes.
Collect and synthesize user feedback, usage data, and stakeholder input to inform a continuous improvement backlog.
Advocate for end users and help ensure AI capabilities are intuitive, trustworthy, and fit for their users.
Provide senior leadership with regular, data-grounded progress updates and impact summaries.