Principal Engineering Manager

Principal Engineer/Engineering Manager, AI & ML JOB LOCATION: With listeners in nearly every country on the planet, speaking dozens of languages, we like to think we have one of the most diverse user bases in the world. We believe diversity is powerful. Divergent thinkers build differentiated products—and better music experiences. We are looking for a highly skilled, hands-on AI/ML leader to drive state-of-the-art personalization, recommendations, and content discovery at JioSaavn.

Lead the strategy and execution of AI/ML initiatives that power personalization across homepages, autoplay, and content discovery.

Partner closely with engineering, and product teams to ship high-impact ML features at scale.

Shape JioSaavn’s long-term AI/ML roadmap, ensuring we stay at the forefront of recommendation systems, user understanding, and generative AI.

Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field.

~12+ years of relevant industry experience in applied AI/ML, data science, or closely related fields.

~3+ years of experience in people management and/or technical leadership, managing engineers and/or data scientists.

Strong hands-on experience with core ML techniques:

Proven track record of taking ML solutions from prototype to production, including:

Scalable data pipelines and feature engineering

Deployment & serving at scale

Experimentation, A/B testing, and continuous improvement

Monitoring, alerting, and model lifecycle management

Experience with modern MLOps practices (CI/CD for ML, experiment tracking, model registries, etc.).

Excellent communication skills, with the ability to translate complex technical concepts into clear narratives for both technical and non-technical stakeholders.

Experience in AI/ML research or advanced development (publications, patents, or open-source contributions) is a strong plus.

Familiarity with recent advancements in large language models (LLMs) and generative AI—and an interest in applying them to music discovery—is a plus.