Job Description
Join us as an AI Product Intelligence Manager and help us push AI Product Management forward within Machine Learning.
You'll be working out of Coimbatore (full-time (wfh)), and honestly, the day-to-day is going to revolve around AI Product Management and Cloud Platforms (AWS/GCP). 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 7 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 16.0-29.5 LPA - fair for the mid level band and open to discussion based on what you bring.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Interested candidates should be prepared to walk through relevant past work during the interview process.
Learning and certification support is available for tools and frameworks directly relevant to the role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
You'll be working out of Coimbatore (full-time (wfh)), and honestly, the day-to-day is going to revolve around AI Product Management and Cloud Platforms (AWS/GCP). 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 7 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 16.0-29.5 LPA - fair for the mid level band and open to discussion based on what you bring.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Interested candidates should be prepared to walk through relevant past work during the interview process.
Learning and certification support is available for tools and frameworks directly relevant to the role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.