Job Description
Join us as an AI Program Manager and help us push Data Science forward within Artificial Intelligence (AI).
You'll be working out of Gurugram (full-time), and honestly, the day-to-day is going to revolve around Machine Learning and Data Science. We're not looking for someone who just ticks boxes - we want someone who actually cares about data science.
On paper, we'd expect Ph.D (AI) and somewhere around 14 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 43.0-65.6 LPA - fair for the senior level band and open to discussion based on what you bring.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
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 next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Compensation includes standard statutory benefits along with performance-linked variable pay.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
High performers in this role typically move into a broader ownership scope within 18-24 months. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
References may be requested closer to the offer stage rather than at the start of the process. Learning and certification support is available for tools and frameworks directly relevant to the role.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings.
You'll be working out of Gurugram (full-time), and honestly, the day-to-day is going to revolve around Machine Learning and Data Science. We're not looking for someone who just ticks boxes - we want someone who actually cares about data science.
On paper, we'd expect Ph.D (AI) and somewhere around 14 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 43.0-65.6 LPA - fair for the senior level band and open to discussion based on what you bring.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
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 next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Compensation includes standard statutory benefits along with performance-linked variable pay.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
High performers in this role typically move into a broader ownership scope within 18-24 months. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
References may be requested closer to the offer stage rather than at the start of the process. Learning and certification support is available for tools and frameworks directly relevant to the role.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings.