As Manager - AI Scrum at the company, you will oversee the daily Agile delivery for AI product and engineering teams, ensuring structured execution and clear communication. The role requires 6–10 years of experience in Scrum, Agile delivery, or technical programme execution, with hands-on expertise in AI/ML product development and strong skills in Jira and Agile tools. You will collaborate with cross-functional teams, manage delivery metrics, and remove impediments to ensure timely progress.
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Responsibilities
- Run sprint planning, daily coordination, reviews, retrospectives, refinement, and release-readiness activities with clear outcomes and disciplined follow-through.
- Keep the backlog execution-ready by working with Product, Engineering, Applied Science, and Data owners to clarify intent, acceptance evidence, dependencies, and sequencing.
- Track dependencies across data access and quality, model development, evaluation, infrastructure, security, integration, and deployment.
- Remove impediments directly where possible and drive timely escalation when decisions, access, capacity, or external teams block progress.
- Use delivery metrics such as cycle time, throughput, blocked time, predictability, defect trends, and experiment outcomes to improve team performance.
Qualifications
- 6–10 years of experience in Scrum, Agile delivery, or technical program execution within software-product, AI, SaaS, platform, or engineering organizations.
- Hands-on experience managing sprint planning, backlog readiness, ceremonies, impediments, cross-team dependencies, releases, and delivery metrics.
- Working understanding of AI/ML product development, including iterative experimentation, data dependencies, model evaluation, and the transition from prototype to production.
- Strong Jira and Agile tooling discipline, including dashboards, workflow hygiene, reporting, and practical use of delivery data.
Nice to Have
- Professional Scrum Master, Certified ScrumMaster, SAFe Scrum Master, or comparable certification.
- Experience delivering generative AI, machine learning, data products, developer platforms, or enterprise AI solutions.
- Familiarity with experiment tracking, model evaluation, MLOps, data pipelines, cloud infrastructure, or production observability.
What working at the company offers:
- Culture: An open, diverse and inclusive environment that encourages personal growth and focuses on ground-breaking innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
