Location : Hyderabad(Hybrid).
Work Timings : 2 : 00 PM 11 : 00 PM IST.
No of Openings : 1.
Key Responsibilities :
- Lead and evolve the AI product release strategy, with a focus on automation, predictability, and scalability.
- Develop frictionless release systems that minimize manual handoffs and support frequent deployments.
- Partner with cross-functional teams (Product, Engineering, QA, MLOps) to align release planning with product goals.
- Establish and enforce release governance, quality checks, and approval workflows.
- Maintain a centralized release calendar, including planning, coordination, and execution of releases.
- Identify and remove bottlenecks across the release lifecycle.
- Oversee release readiness reviews, go / no-go decisions, and post-release retrospectives.
- Define and monitor key release health metrics (e.g., lead time, failure rates, rollback incidents).
- Advocate for continuous improvement, scalable practices, and automation-first principles in release management.
Required Skills and Qualifications :
3+ years of experience in Release Management within a tech or product-based environment.Proven experience in managing end-to-end release cycles for complex digital products preferably AI, data, or platform-based.Strong knowledge of Agile / Scrum methodologies and experience managing cross-functional Agile teams.Demonstrated ability to optimize and scale release processes, with a focus on automation and reducing manual intervention.Experience working with release calendars, governance workflows, and stakeholder communication in fast-paced environments.Familiarity with basic AI / ML development workflows (e.g., model versioning, testing, and deployment cycles) is a plus but deep technical ML knowledge is not required.Exposure to tools like Jira, Azure DevOps, Confluence, or other project / release management platforms.Excellent communication and coordination skills, with a track record of aligning multiple teams and functions toward shared release goals.(ref : hirist.tech)