Product Manager (Models)

Reposted 15 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Software
The Role
Own product roadmaps for ASR, TTS, and model evaluation. Coordinate data collection, training cycles, and releases. Build evaluation frameworks and run experiments (offline, A/B, human) to improve accuracy, latency, MOS, and robustness. Ensure scalable deployment, monitoring, and translate business needs into measurable model goals.
Summary Generated by Built In
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

We are hiring a Model Product Manager to own charters for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. You will work closely with research and engineering teams to define roadmaps, run training and evaluation cycles, and ship models that directly improve product experience and reliability.

What You'll Do
  • Define and drive roadmaps for ASR, TTS, and evaluation systems.

  • Partner with engineering and research teams on data collection, training cycles, and model release planning.

  • Set up and own evaluation frameworks and quality metrics covering accuracy, latency, MOS, and robustness.

  • Run structured experiments — offline tests, A/Bs, and human evaluations — to quantify model improvements.

  • Ensure scalable deployment and monitoring of models in collaboration with infra and data teams.

  • Translate user and business needs into measurable model goals.

  • Communicate priorities, timelines, and trade-offs clearly across stakeholders.

What We're Looking For
  • 3+ years of experience building AI, applied AI, ML products, or model training pipelines.

  • Familiarity with the model lifecycle: training, fine-tuning, deployment, and monitoring.

  • Strong analytical skills and comfort with data-driven decision making.

  • Ability to collaborate effectively across research, engineering, and product teams.

Bonus Points
  • Exposure to speech technologies (ASR, TTS) or evaluation pipelines.

  • Experience with quality metrics such as WER, CER, MOS, or latency tracking.

  • Hands-on familiarity with SQL, Python, or ML toolkits.

Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.

  • Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar

  • High ownership and high impact, from day one

  • Everything we do is AI-first, from the way we build and ship to the way we think about problems

  • You can work on problems that could change how an entire country learns, works, and communicates

If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

Skills Required

  • 3+ years building AI, applied AI, ML products, or model training pipelines
  • Familiarity with the model lifecycle: training, fine-tuning, deployment, and monitoring
  • Strong analytical skills and comfort with data-driven decision making
  • Ability to collaborate effectively across research, engineering, and product teams
  • Exposure to speech technologies (ASR, TTS) or evaluation pipelines
  • Experience with quality metrics such as WER, CER, MOS, or latency tracking
  • Hands-on familiarity with SQL, Python, or ML toolkits
Am I A Good Fit?
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The Company
HQ: Bangalore, Karnataka
50 Employees
Year Founded: 2023

What We Do

We are an AI/ML research and development company on a mission to build reliable, performant, enterprise-grade AI systems at scale for India. We are committed to build the full-stack for generative AI for the rich & diverse landscape of India, mainly investing in: 1) Models: developing both efficient large scale Indic language models as well as bespoke enterprise models 2) Platform: building an enterprise-grade platform that empowers organisations to develop and ship creative and performant genAI applications at scale 3) Ecosystem: contributing to open-source models and datasets, as well as leading efforts for large scale data curation in public-good space

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