Technical Product Manager,GenAI/ML

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What We'll Bring:

What You'll Bring:

What you’ll bring:

• Solid understanding of GenAI/ML principles, including LLM architectures, prompt design, RAG pipelines, and multi-agent orchestration.
• Familiarity with cloud AI platforms (Vertex AI, AWS Bedrock) and their managed services.
• Hands-on experience/prototyping with LLM tooling such as LangChain, LlamaIndex, or Semantic Kernel, including experience building retrieval or orchestration workflows.
• Exposure to evaluation and observability frameworks for AI (output evaluation, feedback loops, response grounding, toxicity, and accuracy testing).
• Ability to read & understand code is a plus (e.g., Python, SQL, JSON schema).
• Strong communication and stakeholder management skills, with the ability to translate complex AI/ML concepts for business and engineering audiences.
• 5–8 years of product management experience, with at least 1-2 years in GenAI, ML domains.
• A collaborative mindset and passion for productionizing, innovating & improving AI products grounded in reliability, explainability, transparency, and user trust.

Impact You'll Make:

• Product Vision & Strategy: Define and maintain the roadmap for GenAI -driven platform features within OneTru, focusing on scalable, secure, and explainable AI solutions.
• Customer Discovery: Work closely with stakeholders to uncover high-impact use cases, distill pain points, and frame scalable AI-driven solutions.
• Cross-Team Collaboration: Partner with AI/ML engineers, data scientists, and platform teams to deliver customer-centric capabilities 
• Delivery & Execution: Drive day-to-day execution of agents, agentic workflows & systems.
• Metrics & Evaluation: Define success metrics and evaluation frameworks for LLM-based tools. Champion rapid iteration and continuous improvement loops.
• Platform Translation: Act as a bridge between technical and non-technical stakeholders, ensuring all AI capabilities ladder up to customer value and OneTru’s broader business objectives.
• Governance & Guardrails: Support responsible AI practices by defining clear boundaries, auditing mechanisms, and evaluation policies.

Experience Guidelines

• 5-8 years of product management experience, with 1-2 years directly responsible for ML or GenAI features.
• Hands-on experience with RAG pipelines, LangChain etc
• Familiarity with embedding stores, or knowledge graph integrations, AI agents, MCP servers, model evaluation systems
• Experience in prompt engineering, evaluation frameworks, and rapid iteration methodologies.
• Experience with data-driven prioritization, and outcome-oriented roadmaps.

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