Industry : Enterprise AI and SaaS - delivering production-grade machine learning and AI solutions for enterprise customers across customer experience, workflow automation, and analytics.

Sector : AI/ML platform engineering and product delivery for cloud-native deployments.

Role : Technical Program Manager AI/ML (Hybrid, India).

Join a fast-paced engineering organization to lead cross-functional delivery of ML products, owning project planning, technical coordination, and operationalisation of models at scale.

Role & Responsibilities :

- Define program roadmaps and drive end-to-end delivery for AI/ML initiatives-prioritise features, sequence work, and manage releases across data, model, and infra teams.

- Coordinate technical design reviews, unblock engineering teams, and ensure alignment between Data Science, ML Engineering, Product, and DevOps.

- Implement and run Agile rituals; maintain sprint plans, backlogs, and delivery metrics to consistently meet milestones and SLAs.

- Manage vendor and stakeholder communications-translate business requirements into technical acceptance criteria and success metrics (latency, throughput, accuracy, cost).

- Oversee model deployment pipelines, monitoring, and rollbacks; partner with MLOps to ensure reproducible CI/CD for training and inference.

- Drive risk identification and mitigation, prepare executive status reporting, and continuously improve delivery processes and operational playbooks.

Skills & Qualifications :

Must-Have :

- Agile.

- Scrum.

- Jira.

- Confluence.

- MLOps.

- Model deployment.

Preferred :

- AWS.

- Docker.

- Kubernetes.

Qualifications (summary) : Proven experience managing technical programs in AI/ML or data platforms, strong track record of shipping ML-powered features to production, and the ability to translate complex technical trade-offs into clear delivery decisions.

Experience working with cross-functional teams in a hybrid environment across India is preferred.

Benefits & Culture Highlights :

- Hybrid work model with focused collaboration days and flexible remote options.

- Opportunity to work on cutting-edge ML systems and influence product direction end-to-end.

- Structured mentorship, continuous learning budget, and a performance-driven culture that rewards impact.

Apply if you are a delivery-minded technical leader passionate about taking ML models from research to reliable, scalable production systems and thrive working at the intersection of data science, engineering, and product.