AI Product Manager
6 - 10 years
United States
Full-time
Remote
1 month ago
About the role
AI Product Manager (Remote, US)
Rex.zone is hiring an AI Product Manager to define and deliver AI-powered product outcomes for US-based customers. You will own the roadmap, translate user needs into ML requirements, shape data strategy, and lead evaluation and iteration loops from prototype to production.
What You Will Do
Required Qualifications
Preferred Qualifications
Location
Remote (United States). Full-Time employment with cross-functional collaboration across time zones.
Apply with examples of AI products shipped, evaluation approach, and impact metrics.
Rex.zone is hiring an AI Product Manager to define and deliver AI-powered product outcomes for US-based customers. You will own the roadmap, translate user needs into ML requirements, shape data strategy, and lead evaluation and iteration loops from prototype to production.
What You Will Do
- Define product vision, PRDs, milestones, and success metrics for LLM/ML features
- Partner with ML engineering and data science on model selection, fine-tuning, and evaluation design
- Drive data strategy: dataset planning, taxonomy design, training data quality, and labeling operations
- Lead experimentation: offline metrics, human evaluation, prompt evaluation, A/B testing, and RLHF-style feedback loops
- Collaborate on responsible AI guardrails, content safety, risk assessment, and mitigations
- Ensure production readiness with MLOps, monitoring, incident response, and continuous improvement
Required Qualifications
- Mid-Senior experience shipping software products with measurable outcomes
- Strong product execution: clear PRDs, acceptance criteria, and stakeholder alignment
- Comfort with ML concepts (training/eval splits, precision/recall, ranking metrics, calibration)
- Experience working cross-functionally with engineering, data science, operations, legal/security
Preferred Qualifications
- LLM applications experience (RAG, agents, tool use)
- Familiarity with RLHF and human-in-the-loop evaluation programs
- Experience with annotation vendors/BPOs and QA processes
- Knowledge of MLOps, drift/latency monitoring, and quality regression tracking
Location
Remote (United States). Full-Time employment with cross-functional collaboration across time zones.
Apply with examples of AI products shipped, evaluation approach, and impact metrics.
Skills
Technology, Information and Internet