Own your product scope end-to-end: discovery, definition, prioritization, delivery, and iteration
Write clear, unambiguous specs and user stories that engineers can act on without constant clarification
Run structured discovery: talk to customers and internal agents, synthesize insights, identify patterns
Maintain and groom a prioritized backlog, balancing quick wins with meaningful product bets
Partner closely with engineering to scope work, manage tradeoffs, and keep delivery on track
Own the performance and iteration of AI models within your product scope
define evaluation criteria, monitor output quality, and drive continuous improvement
Lead automation-first thinking in your area
every workflow you touch should ask whether a human is still needed, or whether AI can own it end-to-end
Communicate progress, blockers, and decisions clearly to the Head of Product and leadership
Track adoption and outcomes; use data to inform what to build next
Requirements
3-6 years of product management experience at a B2B SaaS company
Hands-on experience managing or iterating on AI models in a product context
you understand prompt design, evaluation frameworks, and how to improve model performance over time
Strong spec-writing and communication skills
you can turn fuzzy ideas into clear requirements
Comfortable working in a fast-moving, relatively unstructured environment
Experience shipping full product features from discovery to launch
Proven ability to work cross-functionally with engineering, ops, and customer-facing teams
Hands-on experience designing or improving workflows, decision trees, or automation-ready processes
Comfortable working with data, dashboards, and analytics tools to guide decisions
Proficient in Jira
you use it daily to manage your backlog, write and organize tickets, track sprint progress, and keep engineering aligned without constant back and forth
Must be based in or willing to relocate to Miami, Florida
Benefits
Real ownership from day one: Not a feature-factory environment
you will have genuine scope and accountability over both product and AI model performance
Strong engineering team: Work alongside experienced engineers who have collaborated across multiple projects worldwide and hold a high standard for their work
Executive visibility: Direct access to the Head of Product and leadership with fast feedback loops