Sarvam AIOfficial careers listing

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Product Manager – Media & Entertainment, Sarvam Studio

Pay

Not stated

Location

Bengaluru

On site

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About the role

Product · Bengaluru · Full Time · On-Site

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.

The work

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.

The work

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
  • Get into the details of how AI systems behave in production: model selection, prompt and pipeline design, latency and cost budgets, failure modes
  • Work with the GTM team on pricing, packaging, and positioning for media segments — from per-minute creator pricing to enterprise localization contracts
  • Be the voice of the media customer internally: relay precise product and model feedback (dubbing failures, audio artefacts, translation misses) to research, and close the loop with customers
  • Track the AI-in-media landscape — content creation, localization, and playout platforms — and bring a sharp point of view on where Studio should build, partner, or pass
  • Ship product every week, not plans

Who they want

WHAT WE'RE LOOKING FOR

  • 5–10 years of product management experience, with real products shipped at meaningful scale
  • Strong preference for experience in media & entertainment — Video & Content first platforms OTT/streaming platforms (Prime Video, JioHotstar, Zee5, SonyLIV), broadcasters, studios, or media-tech/content-supply-chain companies (Adobe, Amagi, Prime Focus, or similar)
  • Deep understanding of the content lifecycle: how content is produced, transformed (dubbing, subtitling), packaged, distributed, and monetized across broadcast and streaming
  • Hands-on familiarity with generative AI in content workflows — voice synthesis, dubbing, video/audio generation — and clear thinking on quality vs. cost vs. speed trade-offs
  • Strong data skills: comfortable writing SQL, setting up funnels, and defining success metrics that matter (not vanity numbers)
  • Strong product thinking: you start with the customer's problem, structure vague problem spaces,

Where this listing comes from

From Sarvam AI's own careers system (Ashby).

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