AI Product Manager Jobs India
Rex.zone · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Lead AI product management for production systems.
- Develop LLM, NLP, and computer vision capabilities.
- Define metrics and evaluation workflows for AI models.
- Iterate on models using RLHF and human feedback.
- Collaborate with engineering and data operations teams.
About the role
About The Role
Lead end-to-end product management for AI capabilities used in production systems, including LLM-driven experiences, NLP classifiers, and computer vision automation. Translate customer problems into PRDs, user stories, evaluation plans, and launch criteria while coordinating with ML engineering and data operations teams.
What You Will Do
- Own AI product roadmaps and prioritize backlogs based on impact, risk, and model readiness
- Define success metrics (precision/recall, calibration, latency, cost, CSAT) and maintain dashboards
- Design model evaluation workflows (offline/online) and acceptance thresholds
- Drive iteration cycles using RLHF concepts, prompt evaluation, and human-in-the-loop QA evaluation
- Partner with data labeling teams/vendors to scope datasets, taxonomies, rubrics, and QC
- Coordinate cross-functional delivery including privacy, security, and responsible AI requirements
Required Qualifications
- Mid-Senior product management experience shipping AI/ML products with measurable outcomes
- Understanding of LLM/NLP and/or computer vision fundamentals and inference constraints
- Experience with model evaluation plans, human evaluation, and iterative improvement loops
- Ability to manage training data quality and annotation guidelines compliance
- Strong stakeholder management, prioritization, and communication skills
Work Model
This role is Remote and supports collaboration across time zones.
Key skills/competency
- AI Product Management
- LLM Product Management
- NLP Product Management
- Computer Vision Product Management
- Product Roadmapping
- Agile Methodologies
- Stakeholder Management
- Data Analysis
- ML Engineering Collaboration
- Go-to-market Strategy
Skills & topics
- AI Product Manager
- Product Management
- Artificial Intelligence
- Machine Learning
- LLM
- NLP
- Computer Vision
- Product Roadmap
- Agile
- Remote Work
- India Jobs
How to get hired
- Tailor your resume: Highlight AI/ML product management experience, LLM/NLP/CV knowledge, and successful product launches with measurable outcomes.
- Craft a compelling cover letter: Emphasize your understanding of model evaluation, iterative improvement loops, and stakeholder management for AI products.
- Prepare for technical interviews: Brush up on LLM/NLP/CV fundamentals, inference constraints, and concepts like RLHF and human-in-the-loop evaluation.
- Showcase your communication skills: Be ready to discuss how you prioritize backlogs, define success metrics, and collaborate cross-functionally to bring AI products to market.
- Understand Rex.zone's AI focus: Research their existing AI products and how this AI Product Manager role contributes to their mission.
Technical preparation
Study LLM, NLP, and computer vision fundamentals.,Understand model evaluation, offline and online.,Review RLHF and human-in-the-loop concepts.,Practice defining product metrics and KPIs.
Behavioral questions
Describe a challenging AI product launch.,How do you prioritize competing AI features?,How do you manage cross-functional AI teams?,How do you ensure responsible AI development?
Frequently asked questions
- What is the application process for the AI Product Manager role at Rex.zone?
- The application process typically involves submitting your resume and cover letter, followed by a series of interviews. These interviews may include technical assessments, behavioral questions, and discussions with hiring managers to assess your AI product management expertise and fit with Rex.zone's collaborative, remote-first culture. Candidates with experience in LLM, NLP, or computer vision products are highly encouraged to apply.
- What specific AI/ML product experience is Rex.zone looking for in an AI Product Manager?
- Rex.zone is seeking candidates with mid-senior level product management experience who have successfully shipped AI/ML products. This includes hands-on experience with LLM-driven experiences, NLP classifiers, or computer vision automation, demonstrating measurable outcomes. A strong understanding of model evaluation plans, human evaluation loops, and managing training data quality is also crucial.
- How does Rex.zone approach remote work for its AI Product Manager positions?
- This AI Product Manager role is fully remote, supporting collaboration across different time zones. Rex.zone fosters a collaborative environment that values asynchronous communication and provides the necessary tools and support for remote teams to succeed in developing and launching cutting-edge AI products.
- What are the key metrics an AI Product Manager will define and track at Rex.zone?
- An AI Product Manager at Rex.zone will define and track critical success metrics such as precision, recall, calibration, latency, cost, and customer satisfaction (CSAT). They will also be responsible for maintaining dashboards to monitor these metrics and ensure the performance and effectiveness of AI capabilities in production systems.
- Does Rex.zone require experience with specific AI/ML methodologies for the AI Product Manager role?
- While a strong understanding of LLM/NLP and/or computer vision fundamentals is required, experience with specific methodologies like Reinforcement Learning from Human Feedback (RLHF), prompt evaluation, and human-in-the-loop QA is highly valued. This role involves driving iteration cycles using these advanced techniques to improve AI model performance.