Job Description
Artificial Intelligence (AI) is looking for an experienced Senior Manager – AI Marketing Operations to take ownership of the AI-driven Marketing charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 11 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across driven Marketing, Computer Vision, Neural Network Architectures, Python, Model Deployment (MLOps). Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Gurugram on a full-time arrangement. Compensation is benchmarked at INR 10.6-37.4 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai-driven marketing.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
The next logical step from this position is a senior or lead-track role within the same function. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The package is structured with a fixed component, performance bonus, and standard health coverage.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months.
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.
The successful candidate will bring approximately 11 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across driven Marketing, Computer Vision, Neural Network Architectures, Python, Model Deployment (MLOps). Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Gurugram on a full-time arrangement. Compensation is benchmarked at INR 10.6-37.4 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai-driven marketing.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
The next logical step from this position is a senior or lead-track role within the same function. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The package is structured with a fixed component, performance bonus, and standard health coverage.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months.
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.