Job Description
This position calls for an AI Product Program Director who can take ownership of core responsibilities within our AI Product Management team. This is a senior level opening based out of Indore, offered on a full-time basis.
The ideal candidate holds Ph.D (ML/AI) and brings roughly 10 years of hands-on exposure to ai product management. Day-to-day, the work draws heavily on Python, Computer Vision/NLP Basics, Deep Learning, AI Product Management, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 8.2-73.7 LPA, in line with market standards for senior level roles within machine learning.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The package is structured with a fixed component, performance bonus, and standard health coverage. 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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds Ph.D (ML/AI) and brings roughly 10 years of hands-on exposure to ai product management. Day-to-day, the work draws heavily on Python, Computer Vision/NLP Basics, Deep Learning, AI Product Management, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 8.2-73.7 LPA, in line with market standards for senior level roles within machine learning.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The package is structured with a fixed component, performance bonus, and standard health coverage. 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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.