Release Manager

Release Manager

Join our high-performing team to drive the secure, scalable rollout of cutting-edge AI features. Your expertise wont just improve efficiency, it will power the next generation of AI innovation and leave a lasting mark on the industry

Job Title: Release Manager

Location: Remote Work

Work Timings: 2:00 PM 11:00 PM IST

No of Openings: 1

Key Responsibilities

• Define and execute the overall release strategy for AI products, with a strong emphasis on automation, reliability, and scalability.
  
• Build and maintain frictionless release systems that reduce manual handoffs and enable frequent, secure deployments.
  
• Collaborate closely with cross-functional teams including Product, Engineering, QA, and MLOps to align release plans with product goals and development timelines.
  
• Establish and enforce governance processes, including quality gates, approval workflows, and compliance checks.
  
• Manage a centralized release calendar, ensuring smooth planning, coordination, and execution across all teams.
  
• Proactively identify release bottlenecks and implement solutions to optimize the end-to-end release lifecycle.
  
• Lead release readiness assessments, go/no-go reviews, and post-release retrospectives to drive continuous improvement.
  
• Track and report on key release health metrics such as lead time, deployment frequency, failure rate, and rollback incidents.
  
• Champion best practices in release engineering, automation-first approaches, and continuous delivery principles.
  

Required Skills & Qualifications

• 5+ years of experience in Release Management within a technology-driven or product-based organization.
  
• Proven track record of managing full release cycles for complex digital products ideally within AI, data, or platform ecosystems.
  
• Strong understanding of Agile/Scrum methodologies and experience working with cross-functional Agile teams.
  
• Demonstrated ability to scale release operations through automation and process improvement.
  
• Hands-on experience managing release calendars, workflows, approvals, and stakeholder communications in dynamic environments.
  
• Familiarity with AI/ML development workflows (e.g., model versioning, testing, deployment) is a plus though deep technical knowledge of ML is not mandatory.
  
• Proficiency in tools such as Jira, Azure DevOps, Confluence, or similar project and release management platforms.
  
• Exceptional communication, coordination, and stakeholder management skills.

  Role & responsibilities