Responsibilities will include :
- Lead strategic engineering programs with a focus on integrating AI tools to improve developer productivity and product delivery speed.
- Drive the adoption of AI-assisted development tools (e.g., GitHub Copilot, Tabnine, CodeWhisperer, Cursor) across engineering teams.
- Identify opportunities where AI can streamline SDLC processes such as code generation, testing, documentation, and release planning.
- Manage end-to-end program execution using Agile frameworks, ensuring timely delivery of key milestones.
- Oversee release management and coordination, ensuring quality and predictability of software releases.
- Maintain and optimize engineering workflows through tools like JIRA, Confluence, Guru, etc, and extract actionable insights.
- Facilitate cross-functional communication between product, SDET, design, and business stakeholders.
- Identify program risks and dependencies early, proactively resolving blockers and aligning priorities.
- Deliver clear, concise program updates and reports to leadership and stakeholders.
Minimum Qualifications :
Bachelors degree in Computer Science, Engineering, or a related technical discipline.10+ years of experience as a Technical Program Manager or similar role in a software productenvironment.
Hands-on experience with Agile methodologies, JIRA, and full SDLC management.Demonstrated experience using and implementing AI-powered tools like GitHub Copilot,Cursor or similar in engineering workflows.
Strong communication skills with the ability to lead cross-functional teams and drive change across organizations.Preferred Qualifications :
Bachelor's degree in Engineering, Technology Management, or Business.Prior experience leading AI-driven initiatives in engineering or Product Development.Familiarity with AI / ML concepts and their application in Software Development.Certifications in Agile (CSM, SAFe), PMP, or related disciplines.Understanding of DevOps, CI / CD pipelines, and modern engineering automation practices(ref : hirist.tech)