Job Description
**AI Solutions Product Manager** | Ahmedabad | Full-time (WFH) | INR 19.0-30.4 LPA
**About the role:**
- Position within AI Product Management, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for AI Product Management
**What you'll do:**
- Handle core ai product management activities on a day-to-day basis
- Use Computer Vision/NLP Basics regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Computer Vision/NLP Basics
- Machine Learning Algorithms
- Data Preprocessing
- Python
- Cloud Platforms (AWS/GCP)
- Feature Engineering
- AI Product Management
- Model Evaluation & Tuning
- B.Tech (CS/AI)
- 3+ years of relevant experience
**Good to know:**
- 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- References may be requested closer to the offer stage rather than at the start of the process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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 next logical step from this position is a senior or lead-track role within the same function.
- High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**About the role:**
- Position within AI Product Management, under the Machine Learning vertical
- Level: mid level
- Reports to the functional head for AI Product Management
**What you'll do:**
- Handle core ai product management activities on a day-to-day basis
- Use Computer Vision/NLP Basics regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Computer Vision/NLP Basics
- Machine Learning Algorithms
- Data Preprocessing
- Python
- Cloud Platforms (AWS/GCP)
- Feature Engineering
- AI Product Management
- Model Evaluation & Tuning
- B.Tech (CS/AI)
- 3+ years of relevant experience
**Good to know:**
- 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
- References may be requested closer to the offer stage rather than at the start of the process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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 next logical step from this position is a senior or lead-track role within the same function.
- High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.