AI Product Manager Jobs India

AI Product Manager jobs in India focus on owning AI product strategy, discovery, and delivery across LLM, NLP, and computer vision workflows—turning data, model evaluation (including RLHF), and user needs into shipped features. On Rex.zone, you will partner with engineering, data labeling and QA evaluation teams, and stakeholders to define requirements, manage backlogs, and improve model performance through training data quality, prompt evaluation, content safety labeling, and measurable product outcomes. This page is for candidates searching remote, full-time, contract, freelance, entry-level, and senior AI PM roles that connect real-world AI/ML training pipelines to product roadmaps and go-to-market execution at AI labs, tech startups, and enterprise teams.

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AI Product Manager Jobs India

Title: AI Product Manager Jobs India Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: AI product strategy, LLM product management, NLP, Computer Vision, RLHF, Prompt Evaluation, Model Evaluation, Data Labeling, QA Evaluation, Content Safety, Training Data Quality, Product Requirements, Roadmap Planning, Experiment Design, A/B Testing, Metrics and OKRs, Stakeholder Management Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

About the Role

You will lead end-to-end product management for AI capabilities used in production systems, including LLM-driven experiences, NLP classifiers, and computer vision automation. You will translate customer problems into PRDs, user stories, evaluation plans, and launch criteria, coordinating with applied ML engineers, platform engineers, and data operations teams. You will design and maintain model evaluation workflows (offline/online), define acceptance thresholds, and drive iteration cycles using RLHF, prompt evaluation, and human-in-the-loop QA evaluation. You will ensure annotation guidelines compliance, training data quality, and content safety labeling practices support model performance improvement and reliable releases.

What You Will Do

You will own AI product roadmaps and prioritize backlogs based on business impact, risk, and model readiness. You will define success metrics (precision/recall, calibration, latency, cost, CSAT), establish dashboards, and run experiment design and A/B testing. You will partner with data labeling vendors and internal annotators to scope datasets, taxonomy, rubrics, and quality control processes. You will coordinate cross-functional delivery from discovery to rollout, including privacy, security, and responsible AI requirements. You will write clear documentation for stakeholders and align engineering execution with timelines and launch plans.

Required Qualifications

Mid-Senior product management experience delivering AI/ML-powered products with measurable outcomes. Strong understanding of LLM/NLP and/or computer vision fundamentals, including inference constraints, evaluation, and feedback loops. Experience with model evaluation plans, human evaluation, prompt evaluation, and iterative improvement cycles such as RLHF. Ability to work with data labeling, QA evaluation, and training data quality processes, including annotation guidelines compliance. Proven stakeholder management, prioritization, and communication skills across technical and non-technical teams.

Preferred Qualifications

Experience building product requirements for safety and trust features, including content safety labeling and policy-aligned outputs. Familiarity with retrieval-augmented generation (RAG), tool use, and agent workflows, including reliability and observability requirements. Experience working with AI labs, annotation vendors, BPOs, or high-volume data operations programs. Understanding of MLOps concepts such as model monitoring, drift, and release management. Background in experimentation platforms and analytics for model performance improvement.

Work Model, Hiring Notes, and Modifiers

Remote: This role is Remote and supports collaboration across time zones. Employment type: FULL_TIME; however, Rex.zone also lists contract, freelance, entry-level, and senior roles depending on team needs. Domain coverage may include NLP, computer vision, LLM training pipelines, and content safety. Employer types may include tech startups, enterprise teams, AI labs, and annotation vendors. Candidates searching for AI product manager jobs India can use Rex.zone to discover aligned openings and apply.

How to Apply on Rex.zone

Create or update your Rex.zone profile, upload a resume, and apply to roles labeled AI Product Manager Jobs India. Highlight AI product strategy, model evaluation, RLHF or human evaluation experience, and ownership of training data quality and annotation workflows. Include examples of PRDs, metrics/OKRs, experiment results, and cross-functional delivery. Keep your availability, time zone, and remote preferences current to match active listings.

Frequently Asked Questions

  • Q: What does an AI Product Manager do in AI/ML training workflows?

    An AI Product Manager defines product requirements, success metrics, and release criteria for AI features, then coordinates data collection, data labeling, QA evaluation, and model evaluation so ML systems improve reliably in production. They connect LLM/NLP/CV capabilities to customer outcomes and manage iteration cycles such as prompt evaluation and RLHF-informed improvements.

  • Q: Are these AI Product Manager jobs in India remote?

    This posting is marked Remote. Rex.zone may also list hybrid or on-site roles, but remote roles remain explicitly labeled Remote so candidates can filter accordingly.

  • Q: What skills best match AI Product Manager jobs India?

    Common skills include AI product strategy, LLM product management, NLP, computer vision, model evaluation, RLHF concepts, prompt evaluation, training data quality, data labeling operations, QA evaluation, metrics/OKRs, stakeholder management, and experiment design.

  • Q: Do AI Product Managers need hands-on machine learning engineering experience?

    Hands-on coding is helpful but not always required. Strong AI PMs can specify evaluation methods, trade-offs, and data requirements, and can partner effectively with ML engineers and data operations teams to ship measurable improvements.

  • Q: What types of companies hire for AI Product Manager roles?

    AI Product Managers are hired by AI labs, tech startups, enterprise product teams, and organizations running large-scale data operations, including annotation vendors and BPO-style delivery teams for labeling and evaluation.

  • Q: How do I stand out when applying on Rex.zone?

    Show evidence of shipped AI products, clear PRDs, measurable model performance improvement, well-defined evaluation plans, and experience coordinating training data quality, annotation guidelines compliance, and human evaluation workflows such as QA evaluation or RLHF-related feedback loops.

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