Product Manager – Media & Entertainment, Sarvam Studio
Bengaluru • FullTime
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Sarvam is building India's sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. Sarvam Studio is our media platform, offering AI dubbing, live translation, text-to-speech, speech-to-text, and audiobook & podcast generation. We are seeking a Senior Product Manager with deep experience in the media and entertainment industry to own the Studio product roadmap for media and entertainment customers. This role involves understanding content creation, localization, distribution, and monetization, and translating media workflows into product features. You will define quality standards for AI-generated media and work closely with engineering and research teams to ensure product performance in production.
Responsibilities
- Own the Studio product roadmap for media & entertainment customers end-to-end.
- Translate media workflows into product features, including content ingestion, dubbing and localization pipelines, QC, and delivery formats.
- Define quality standards for AI-generated media, such as voice quality, lip-sync, emotional nuance, and translation fidelity.
- Analyze AI system behavior in production, including model selection, prompt and pipeline design, latency, cost, and failure modes.
- Collaborate with the GTM team on pricing, packaging, and positioning for media segments.
- Act as the internal voice of the media customer, relaying product and model feedback to research and closing the loop with customers.
- Track the AI-in-media landscape and inform strategic decisions on product development, partnerships, or divestment.
- Ship product iteratively on a weekly basis.
Requirements
- 5–10 years of product management experience with a track record of shipping products at scale.
- Strong preference for experience in media & entertainment, such as OTT/streaming platforms, broadcasters, studios, or media-tech companies.
- Deep understanding of the content lifecycle: production, transformation, packaging, distribution, and monetization.
- Hands-on familiarity with generative AI in content workflows (voice synthesis, dubbing, video/audio generation) and understanding of quality vs. cost vs. speed trade-offs.
- Strong data skills, including SQL proficiency, funnel setup, and defining success metrics.
- Strong product thinking, starting with customer problems and structuring vague problem spaces.
- High ownership and agency, with a proactive approach to problem-solving.
- Clear communication skills, effective with diverse stakeholders including technical and business teams.