About The Role
As an AI Product Manager, you will own strategy, discovery, and delivery for LLM, NLP, and machine learning features. You will translate business goals into PRDs, model/data requirements, and measurable success metrics while partnering cross-functionally to ship reliable and responsible AI.
Key Responsibilities
- Define AI product strategy and roadmap for LLM/ML-powered features
- Write PRDs, acceptance criteria, and align stakeholders across engineering, data science, MLOps, design, QA, and analytics
- Establish evaluation plans: offline metrics, online A/B tests, and human-in-the-loop review
- Drive feedback loops including RLHF and prompt evaluation; improve training data quality and labeling workflows
- Own launch readiness: safety reviews, monitoring, incident response playbooks, and post-launch iteration
- Manage tradeoffs across quality, latency, cost, privacy, and safety
Qualifications
- Mid-senior product management experience shipping data-driven or AI-enabled products end-to-end
- Working knowledge of ML/LLM concepts: evaluation, monitoring, training data, and experimentation
- Strong stakeholder management and execution in ambiguous environments
- Bonus: experience with annotation workflows, QA evaluation, or LLM evaluation pipelines
Compensation
Hourly base salary range: $30–$50/hr.
Apply via Rex.zone.