Job Description
## AI Marketing Operations Lead
**Department:** AI-driven Marketing | **Industry:** Artificial Intelligence (AI)
**Location:** Bengaluru | **Job Type:** Full-time | **CTC:** INR 12.7-31.6 LPA
### Role Overview
We are looking to onboard an AI Marketing Operations Lead to strengthen our AI-driven Marketing function within Artificial Intelligence (AI). The role is positioned at the mid level and reports into the broader AI-driven Marketing charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai-driven marketing.
- Apply working knowledge of driven Marketing and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: driven Marketing, TensorFlow/PyTorch, Machine Learning, Python, Computer Vision.
### Additional Notes
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
**Department:** AI-driven Marketing | **Industry:** Artificial Intelligence (AI)
**Location:** Bengaluru | **Job Type:** Full-time | **CTC:** INR 12.7-31.6 LPA
### Role Overview
We are looking to onboard an AI Marketing Operations Lead to strengthen our AI-driven Marketing function within Artificial Intelligence (AI). The role is positioned at the mid level and reports into the broader AI-driven Marketing charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai-driven marketing.
- Apply working knowledge of driven Marketing and TensorFlow/PyTorch to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: driven Marketing, TensorFlow/PyTorch, Machine Learning, Python, Computer Vision.
### Additional Notes
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.