Job Description
Looking for a Senior AI Program Delivery Manager who's genuinely interested in AI Training & Upskilling Programs and wants to make an impact from day one.
You'll be working out of Lucknow (leadership - full-time), and honestly, the day-to-day is going to revolve around Cloud Platforms (AWS/GCP/Azure) and Natural Language Processing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect Ph.D (AI) and somewhere around 15 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 51.0-100.5 LPA - fair for the senior level band and open to discussion based on what you bring.
Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role.
The organisation has historically promoted from within for a majority of its senior and lead openings. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. Interested candidates should be prepared to walk through relevant past work during the interview process.
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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
You'll be working out of Lucknow (leadership - full-time), and honestly, the day-to-day is going to revolve around Cloud Platforms (AWS/GCP/Azure) and Natural Language Processing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect Ph.D (AI) and somewhere around 15 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 51.0-100.5 LPA - fair for the senior level band and open to discussion based on what you bring.
Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role.
The organisation has historically promoted from within for a majority of its senior and lead openings. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. References may be requested closer to the offer stage rather than at the start of the process. Interested candidates should be prepared to walk through relevant past work during the interview process.
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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.