Senior Product Manager

Eaze, part of the Vireo family, is seeking a Senior Product Manager to own product problems across its consumer app, internal tools, retail, and delivery. The role leads product strategy from discovery through launch and measured results, using customer research, data, experimentation, and AI-enabled tools.

Responsibilities:

• Lead cross-functional teams of engineering, design, data, operations, and marketing, and set product strategy for the areas you take on: what we build, how we scale it, and why
• Write business cases for new initiatives and get leadership to back them
• Work with operations, retail, customer support, compliance, and finance to turn their needs into clear product requirements
• Run user research and usability studies, using AI to synthesize interviews, support tickets, and app reviews, then check its conclusions against the source
• Build working prototypes with Claude Code or a similar tool and test them with customers, drivers, and store teams
• Answer your own data questions by writing SQL against our data warehouse
• Design and read out experiments, track how features perform after launch, and recommend improvements
• Find places where AI can remove work or improve the experience for customers and operators
• Define what "good enough to ship" means before launch

Requirements:

• 5+ years of product management experience in at least two types of product, such as consumer apps, marketplaces, retail, or internal tools for operations-heavy teams, with a track record of shipping work that moved the business
• AI built into your weekly work, well beyond writing help: analysis, research synthesis, prototyping, and automation, with recent examples from your job or your own projects and what changed because of them
• Proficiency with Claude Code or a similar agentic tool (such as Cursor or Codex), and you've built at least one prototype, analysis, or internal tool that other people used
• Fluency in product analytics: you write SQL, build dashboards, and pull insights from large datasets, and you catch numbers that don't add up
• Hands-on experience designing and interpreting A/B tests
• Sound judgment about AI's limits: you check its output before you act on it
• A solid technical background: you're comfortable reading code, working in a terminal, and talking through trade-offs with engineers
• Clear, persuasive writing and presenting: you write crisp docs and can align stakeholders with competing priorities
• Range: you ramp up quickly on unfamiliar problems by talking to the people who live with them and pulling the data yourself, and you're comfortable committing to a direction before everything is certain
• experience shipping LLM-powered features, leading AI adoption on a team, or connecting AI tools to company data (for example, through MCP); a background in cannabis or another regulated industry, or in multi-location retail