Release Manager

Job Description

REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Technology, Business or a related field.
• Proven experience working in Product Development environments.
• Experience supporting SaaS‑based software products.
• Hands‑on experience using Jira for planning, tracking, and release coordination.
• Excellent communication, project management, and organizational skills, with the ability to coordinate across technical and non‑technical teams.

RESPONSIBILITIES

• Own and maintain the portfolio-wide release calendar. Define scope, milestones, dependencies, and delivery timelines. Coordinate planning across product, development, testing, and deployment phases to keep commitments realistic and transparent.
• Serve as the primary point of contact for release execution across Product, Engineering, QA, and DevOps. Run release readiness reviews, partners on go/no-go decisions, and own stakeholder communications. Keep teams aligned on expectations, risks, and delivery commitments.
• Manage production deployments schedules, including coordination of release windows and sequencing. Ensure rollback and contingency plans are defined and tested. Support incident response and resolution during release activities as needed.
• Manage production deployments schedules, including coordination of release windows and sequencing. Ensure rollback and contingency plans are defined and tested. Support incident response and resolution during release activities as needed.
• Identify, track, and mitigate risks that could impact release timelines or quality. Work proactively with stakeholders to resolve issues and escalate blockers. Drive continuous improvement of release processes to reduce risk over time.
• Partner with DevOps to improve release automation, pipeline reliability, repeatability, and deployment speed. Promotes best practices for feature flagging and controlled rollouts (e.g., LaunchDarkly .
• Partner with internal stakeholders to execute early adopter release programs. Coordinate recruitment, planning, feature enablement, and deployment sequencing for EA cohorts. Enforce controlled rollout practices — feature flagging, access management, rollback readiness, and drive smooth EA-to-GA transitions. Help define and improve scalable processes, tooling, and governance to support growth of early adopter programs without increasing release risk. Contribute to continuous improvement of early access frameworks to balance speed, quality, and client experience.
• Monitor post-release performance and stability. Turn signals from the field into ongoing improvements in release management, tooling, and governance.
• Champion AI-driven planning, testing, release validation, and operational automation across the PDLC. Promotes adoption of agentic AI to compress cycle time, raise quality, and scale delivery.

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