Job Description
**Q: Where is this based?**
A: Hybrid - Bengaluru, on a full-time basis.
**Q: What does compensation look like?**
A: INR 5.7-17.2 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Quantum Machine Learning Program Manager to work within Quantum Machine Learning, part of the Quantum Computing & Technology function.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: Cloud Quantum Platforms (IBM Q/Azure Quantum), Machine Learning Basics, Quantum Algorithms, Quantum Machine Learning, Research Documentation.
**Q: What qualification is expected?**
A: Ph.D (Quantum Physics/Computing) or an equivalent, relevant qualification.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: High performers in this role typically move into a broader ownership scope within 18-24 months.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A: Hybrid - Bengaluru, on a full-time basis.
**Q: What does compensation look like?**
A: INR 5.7-17.2 LPA, depending on experience and interview performance.
**Q: What is this role about?**
A: We're hiring a Quantum Machine Learning Program Manager to work within Quantum Machine Learning, part of the Quantum Computing & Technology function.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: What skills matter most?**
A: Cloud Quantum Platforms (IBM Q/Azure Quantum), Machine Learning Basics, Quantum Algorithms, Quantum Machine Learning, Research Documentation.
**Q: What qualification is expected?**
A: Ph.D (Quantum Physics/Computing) or an equivalent, relevant qualification.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: High performers in this role typically move into a broader ownership scope within 18-24 months.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What's the team like?**
A: The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.