Senior AI Product Manager

3 days ago

Bengaluru, Karnataka, India Masai Full time

Industry & Sector: Fast-scaling education-technology (EdTech) company focused on career-oriented developer training, placement enablement, and skills-first hiring solutions. We build learner-facing products and employer integrations that leverage AI/ML to improve outcomes across learning, assessment, and job placement.

Role (Location: India — On-site) — Primary title (optimized): Senior Product Manager — AI/ML

Role & Responsibilities
  • Define and own the AI/ML product roadmap: translate business goals into prioritized features, measurable success metrics, and release plans for learner and employer-facing products.
  • Turn user and business problems into concrete AI use-cases: write clear product requirements, acceptance criteria, and data contracts for model development and evaluation.
  • Partner with Data Science, ML Engineering, and Data Engineering to design experiments, supervise model training & validation, and operationalize models into production.
  • Lead pilot programs and A/B tests; analyze results to iterate quickly and drive measurable improvements in conversion, retention, assessment accuracy, or placement metrics.
  • Own model lifecycle in production: monitoring, drift detection, retraining triggers, performance SLAs, and rollback criteria in collaboration with MLOps.
  • Champion responsible AI practices: ensure privacy, fairness checks, documentation (model cards), and stakeholder alignment across product, legal, and ops teams.
Skills & Qualifications

Must-Have

  • Proven track record owning and shipping AI/ML product features or models to production.
  • Hands-on familiarity with model evaluation and monitoring, and designing ML experiments.
  • Strong analytic skills with SQL or equivalent for deriving insights and measuring product impact.
  • Experience running A/B tests and interpreting experiment results to guide product decisions.
  • Comfort working closely with Data Science and MLOps teams to define data requirements and deployment criteria.

Preferred

  • Prior experience with generative AI/LLMs and prompt engineering in product contexts.
  • Experience in EdTech, assessment platforms, or hiring/placement marketplaces.
  • Familiarity with cloud ML platforms and MLOps tooling (e.g., MLflow, SageMaker, Vertex AI).
Benefits & Culture Highlights
  • Collaborative, mission-driven on-site teams working at the intersection of skills, hiring, and AI.
  • Opportunities for rapid ownership, visibility, and professional growth in AI product leadership.
  • Learning and upskilling support, regular knowledge-sharing, and a culture that values evidence-driven product decisions.

We are looking for a results-oriented Senior Product Manager — AI/ML who can combine domain insight, technical fluency, and strong execution discipline to build AI features that drive clear learner and employer outcomes. Apply if you enjoy turning ML into measurable product impact in a fast-paced EdTech environment.

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