Job Description
Artificial Intelligence (AI) is looking for an experienced AI Customer Behavior Analyst – Marketing to take ownership of the AI-driven Marketing charter at a mid 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 7 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Python, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Deep Learning, 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 Chennai on a full-time arrangement. Compensation is benchmarked at INR 9.8-42.3 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.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Interested candidates should be prepared to walk through relevant past work during the interview process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. References may be requested closer to the offer stage rather than at the start of the process.
The successful candidate will bring approximately 7 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Python, Cloud Platforms (AWS/GCP/Azure), Statistical Modelling, Deep Learning, 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 Chennai on a full-time arrangement. Compensation is benchmarked at INR 9.8-42.3 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.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Interested candidates should be prepared to walk through relevant past work during the interview process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. References may be requested closer to the offer stage rather than at the start of the process.