Product Manager, Enterprise AI

Vuori, Inc•Carlsbad, CA

2d•$137,300 - $176,610•Onsite

About The Position

Vuori is seeking an AI Product Manager to maintain the company’s AI product roadmap and guide AI capabilities through successful delivery. The role works closely with AI engineers, business stakeholders, and design to focus teams on the right problems, establish actionable requirements, and track progress from concept through production. It is suited to a product practitioner who enjoys shipping AI products, translating stakeholder needs into clear requirements, removing blockers, and monitoring whether solutions work for users and the business.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent years of experience; listed as preferred.
5+ years of product management experience.
2+ years working on AI, machine learning, or data-driven products shipped to real users in production environments.
Demonstrated experience managing a product roadmap and delivering features end to end with measurable business outcomes.
Ability to translate stakeholder and user needs into clear, actionable product requirements.
Working knowledge of AI and machine learning concepts sufficient to have 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, including the ability to adapt to engineering, design, business, and executive audiences.
Comfort with ambiguity, a 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, including 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 a current, well-sequenced, and visible 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.
Work with AI engineers throughout delivery to clarify scope, answer questions, review work, and make informed decisions when scope changes.
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.
Confirm after launch that products are working as intended and surface issues for resolution.
Build relationships with business teams, operations, merchants, and marketing to understand workflows, pain points, and opportunities for AI.
Partner with engineering and data teams to track technical performance 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 ensure AI capabilities are intuitive, trustworthy, and fit for their users.
Provide senior leadership with regular, data-grounded progress updates and impact summaries.