Position Title : Principal Product Manager

Department/Function : Product & Engineering

Key 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 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 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