Job Description
## AI Marketing Performance Manager
**Department:** AI-driven Marketing | **Industry:** Artificial Intelligence (AI)
**Location:** Hyderabad | **Job Type:** Full-time | **CTC:** INR 12.8-27.6 LPA
### Role Overview
This position calls for an AI Marketing Performance Manager who can take ownership of core responsibilities within our AI-driven Marketing team. 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 Data Preprocessing and Python 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
- B.Tech (CS/AI) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Data Preprocessing, Python, driven Marketing, Model Deployment (MLOps), Statistical Modelling, Deep Learning.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. 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. High performers in this role typically move into a broader ownership scope within 18-24 months.
**Department:** AI-driven Marketing | **Industry:** Artificial Intelligence (AI)
**Location:** Hyderabad | **Job Type:** Full-time | **CTC:** INR 12.8-27.6 LPA
### Role Overview
This position calls for an AI Marketing Performance Manager who can take ownership of core responsibilities within our AI-driven Marketing team. 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 Data Preprocessing and Python 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
- B.Tech (CS/AI) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Data Preprocessing, Python, driven Marketing, Model Deployment (MLOps), Statistical Modelling, Deep Learning.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. 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. High performers in this role typically move into a broader ownership scope within 18-24 months.