About The Opportunity
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 initiativesprioritise 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 communicationstranslate 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
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.
Skills: aws,jira,agile,ml,data science,features,scrum,confluence,docker,teams,drive,model deployment
