Job Description
We're hiring an AI Compliance Strategy Manager to join our growing AI Governance & Compliance team - if this sounds like your kind of work, read on.
You'll be working out of Ahmedabad (full-time (wfh)), and honestly, the day-to-day is going to revolve around Python and Computer Vision. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai governance & compliance.
On paper, we'd expect M.Tech (AI/ML) 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 26.6-49.6 LPA - fair for the mid level band and open to discussion based on what you bring.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The package is structured with a fixed component, performance bonus, and standard health coverage. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Interested candidates should be prepared to walk through relevant past work during the interview process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
You'll be working out of Ahmedabad (full-time (wfh)), and honestly, the day-to-day is going to revolve around Python and Computer Vision. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai governance & compliance.
On paper, we'd expect M.Tech (AI/ML) 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 26.6-49.6 LPA - fair for the mid level band and open to discussion based on what you bring.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The package is structured with a fixed component, performance bonus, and standard health coverage. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Interested candidates should be prepared to walk through relevant past work during the interview process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
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.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.