Product Manager – Media & Entertainment, Sarvam Studio

ABOUT SARVAM

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

ABOUT THE ROLE

Sarvam Studio is our media platform — spanning AI dubbing, live translation, text-to-speech, speech-to-text, and audiobook & podcast generation, powered by a shared foundation of voice cloning, stem separation and music generation. Its users range from individual creators to media houses to large broadcasters and streaming platforms.

We're looking for a Senior Product Manager who knows the media and entertainment industry from the inside — someone who has built products for OTT, broadcast, streaming, or media-tech platforms and understands how content actually gets made, localized, distributed, and monetized. You'll own how Studio serves the media industry: what a dubbing pipeline needs to look like for a broadcaster running hundreds of hours of content a month, what "broadcast quality" means for AI-generated voice, and how AI reshapes the economics of content creation and localization.

This is a builder's role, not a strategy-deck role. You'll talk to studios, broadcasters, and creators constantly, ship product every week, and get deep into how our voice and media models behave in production.

WHAT YOU'LL DO

• Own the Studio product roadmap for media & entertainment customers end-to-end — from discovery with broadcasters, OTT platforms, and content studios, to specs, shipping, and measuring outcomes

• Translate media workflows into product: content ingestion, dubbing and localization pipelines, QC and human-in-the-loop review, delivery formats, and rights/compliance requirements that broadcast and streaming customers demand

• Define what "good" means for AI-generated media — voice quality, lip-sync, emotional nuance, translation fidelity — and build the eval pipelines and feedback loops that hold the product to it