Job Description
We're hiring an AI Product Growth Manager to join our growing AI Product Management team - if this sounds like your kind of work, read on.
You'll be working out of Ahmedabad (contract), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Machine Learning Algorithms. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai product management.
On paper, we'd expect M.Sc (Data Science) and somewhere around 3 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 21.2-45.7 LPA - fair for the mid level band and open to discussion based on what you bring.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. References may be requested closer to the offer stage rather than at the start of the process.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. Compensation includes standard statutory benefits along with performance-linked variable pay. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months.
Interested candidates should be prepared to walk through relevant past work during the interview process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
You'll be working out of Ahmedabad (contract), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Machine Learning Algorithms. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai product management.
On paper, we'd expect M.Sc (Data Science) and somewhere around 3 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 21.2-45.7 LPA - fair for the mid level band and open to discussion based on what you bring.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. References may be requested closer to the offer stage rather than at the start of the process.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. Compensation includes standard statutory benefits along with performance-linked variable pay. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months.
Interested candidates should be prepared to walk through relevant past work during the interview process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.