Job Description
Looking for an AI Product Platform Assistant who's genuinely interested in AI Product Management and wants to make an impact from day one.
You'll be working out of Bengaluru (contract), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Python. 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 B.Tech (CS/AI) and somewhere around 0 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 2.8-10.9 LPA - fair for the junior level band and open to discussion based on what you bring.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Compensation includes standard statutory benefits along with performance-linked variable pay. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
You'll be working out of Bengaluru (contract), and honestly, the day-to-day is going to revolve around TensorFlow/PyTorch and Python. 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 B.Tech (CS/AI) and somewhere around 0 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 2.8-10.9 LPA - fair for the junior level band and open to discussion based on what you bring.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Compensation includes standard statutory benefits along with performance-linked variable pay. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.