Job Description
Position: AI Product Operations Executive – Junior
Function: AI Product Management
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Ahmedabad
Employment Type: Contract
Compensation: INR 10.3-16.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai product management, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 2 years
Core Competencies Required: Natural Language Processing, Deep Learning, Python, Neural Network Architectures, Statistical Modelling, AI Product Management
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Function: AI Product Management
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Ahmedabad
Employment Type: Contract
Compensation: INR 10.3-16.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai product management, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 2 years
Core Competencies Required: Natural Language Processing, Deep Learning, Python, Neural Network Architectures, Statistical Modelling, AI Product Management
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.