Position Title : Principal Product ManagerDepartment/Function : Product & EngineeringKey Responsibilities :Product Strategy & Vision :- Define and evangelize the vision for the company's 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 :Education :- Bachelor's or master's 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 transparent 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 fast-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 (ref:hirist.tech)

📌 Doceree - Principal Product Manager - AI/ML (Noida)
🏢 Docerre
📍 Noida