Job Description
Position: AI Product Innovation Director
Function: AI Product Management
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 31.9-89.9 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 Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Natural Language Processing, Machine Learning, AI Product Management, Cloud Platforms (AWS/GCP/Azure), Model Deployment (MLOps), Neural Network Architectures, Python, Statistical Modelling
Further Information:
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Function: AI Product Management
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 31.9-89.9 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 Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Natural Language Processing, Machine Learning, AI Product Management, Cloud Platforms (AWS/GCP/Azure), Model Deployment (MLOps), Neural Network Architectures, Python, Statistical Modelling
Further Information:
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.