Job Description
Position: Head of AI Product Management
Function: AI Product Management
Industry: Machine Learning
Grade: senior level
Location: Pune
Employment Type: Hybrid
Compensation: INR 34.7-64.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai product management, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 8 years
Core Competencies Required: MLOps, Python, Model Evaluation & Tuning, TensorFlow/PyTorch, Deep Learning, Cloud Platforms (AWS/GCP), Data Preprocessing, AI Product Management
Further Information:
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Compensation includes standard statutory benefits along with performance-linked variable pay. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Function: AI Product Management
Industry: Machine Learning
Grade: senior level
Location: Pune
Employment Type: Hybrid
Compensation: INR 34.7-64.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai product management, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 8 years
Core Competencies Required: MLOps, Python, Model Evaluation & Tuning, TensorFlow/PyTorch, Deep Learning, Cloud Platforms (AWS/GCP), Data Preprocessing, AI Product Management
Further Information:
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Compensation includes standard statutory benefits along with performance-linked variable pay. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.