Principal Product Manager

Noida

Full-time

Department: Product Engineering

Job scope: Global

Work setting: Onsite

About The Job

- Position Title: Product Management Data Science AI (Title shall depend on competencies and experience)

- Department/Function Product Engineering

- Job Scope: Global

- Work Setting: WFO

Key Responsibilities Product Strategy Vision
- Define and evangelize the vision for the companys AI products, spanning ML models, generative AI features, and intelligent automation.
- Build a product roadmap that balances technical innovation, model performance, market differentiation, and business impact.
- Conduct competitive research and track emerging AI techniques (LLMs, multimodal models, agents, RAG, fine-tuning) to keep the product portfolio at the cutting edge.
- Make build-vs-buy decisions across foundation models, third-party APIs, and in-house model development.

Product Development Execution
- Lead the end-to-end product lifecycle: ideation, requirement definition, model/feature development, launch, and iteration.
- Collaborate with engineering and data science teams to design scalable AI systems leveraging first-party data, foundation models, and human feedback loops.
- Author high-quality PRDs, user stories, and acceptance criteria including model evaluation criteria, quality bars, and guardrails ensuring clarity for cross-functional teams.
- Drive integration strategy with data pipelines, MLOps infrastructure, and downstream applications to operationalize AI capabilities at scale.
- Define and manage the data strategy that fuels training, evaluation, and continuous improvement of models.





Responsible AI Governance
- Develop solutions that deliver AI value while maintaining strict compliance with privacy and data regulations such as GDPR, CCPA, and industry-specific rules.
- Establish frameworks for model safety, fairness, bias mitigation, explainability, and human oversight.
- Ensure robust governance around data usage, model versioning, auditability, and responsible deployment.
- Explore advanced techniques such as retrieval-augmented generation, evaluation harnesses, and guardrail systems to continuously improve reliability and trust.

User Experience Enablement
- Collaborate with UX designers to simplify complex AI-driven workflows and design for uncertainty, transparency, and user trust.
- Provide clear product documentation, training, and enablement materials including prompt guidance and model behavior expectations to maximize adoption.

Performance Optimization
- Define metrics for success (model accuracy/quality, latency, cost per inference, adoption, task success rate, user satisfaction) and continuously optimize solutions.
- Use data-driven insights and offline/online evaluation to iterate on products, identify gaps, and enhance model performance and reliability.
- Balance model quality, cost,



and speed to hit business and user experience targets.

Qualifications: Experience, Skills Education
- Bachelors or masters in Computer Science, Engineering, Data Science, or a related field.

Experience:
- 5+ years in product management, with significant experience owning AI/ML or data-centric products.

- Proven track record shipping products powered by machine learning, generative AI, or large-scale data systems.

Skills Expertise:
- Strong understanding of AI/ML concepts: supervised/unsupervised learning, LLMs, embeddings, RAG, fine-tuning, evaluation methodology, and model deployment.
- Ability to translate complex technical capabilities into clear product strategy and business impact.
- Exceptional stakeholder management, communication, and leadership skills.
- Strong analytical mindset with experience in SQL, data modeling, or analytics.
- Comfort operating in a quick-paced, high-growth environment and leading cross-functional initiatives.
- Familiarity with MLOps, experimentation frameworks, and A/B testing.

Nice-to-Haves:
- Hands-on experience with prompt engineering, model fine-tuning, or building agentic/LLM-based applications.
- Familiarity with privacy-enhancing technologies, responsible AI frameworks, and data governance.
- Experience building and scaling AI platforms or multi-model systems in production.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Principal Product Manager (Noida)
🏢 Doceree
📍 Noida