AI Product Manager

Rex.zone; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Rex.zone is seeking an AI Product Manager to define and deliver AI-powered product outcomes tailored for US-based customers. This full-time, remote role encompasses managing the product roadmap, collaborating across teams, and driving the data strategy for ML projects. Candidates should possess mid-senior experience in shipping software products, strong skills in product execution, and a solid understanding of ML concepts. Join Rex.zone to influence AI product development and ensure metrics-driven success.

Qualifications

• Mid-senior experience shipping software products with measurable outcomes.
• Strong product execution with clear PRDs and stakeholder alignment.
• Comfort with ML concepts like precision/recall and ranking metrics.

Responsibilities

• Define product vision, milestones, and success metrics for LLM/ML features.
• Partner with ML engineering and data science on model evaluation.
• Drive data strategy including dataset planning and taxonomy design.

Skills

Product execution

ML concepts understanding

Cross-functional collaboration

Job description

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

• 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.