Job Description
We're hiring an AI Marketing Coordinator to join our growing AI-driven Marketing team - if this sounds like your kind of work, read on.
You'll be working out of Chandigarh (internship), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Deep Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai-driven marketing.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 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 13.7-28.9 LPA - fair for the junior level band and open to discussion based on what you bring.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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.
Compensation includes standard statutory benefits along with performance-linked variable pay. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
You'll be working out of Chandigarh (internship), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Deep Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai-driven marketing.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 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 13.7-28.9 LPA - fair for the junior level band and open to discussion based on what you bring.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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.
Compensation includes standard statutory benefits along with performance-linked variable pay. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.