About Triomics:Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records such as pathology reports, clinical notes, genomic panels to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records with >95% accuracy, at scale, in real time.We have grown 10x in the last one year and are processing millions of documents monthly.Role:We’re looking for an AI Product Manager who can operate at the intersection of LLM engineering, oncology data, and product thinking. This is not a traditional PM role where you write specs and hand them off. You’ll be expected to deeply understand the AI systems you’re building, get your hands dirty with prototypes, and work shoulder-to-shoulder with our NLP and AI engineering teams to ship reliable, production-grade AI agents.Responsibilities: Own the AI agent problem decomposition: Deeply understand LLM-based agents in healthcare. Deconstruct complex clinical research into well-defined agent tasks. Define reliability, evaluation metrics, run evals, and iterate on results end-to-end.Go deep on oncology data and problem formulation: Gain a deep understanding of cancer patient data (pathology, treatment, genomics, clinical notes). Collaborate closely with the NLP team to define precise, clinically data-grounded problem statements.Build prototypes and evaluation tools: Prototype and build POCs using tools like Cursor/Claude Code. Design internal apps to evaluate AI model outputs. Coordinate with data annotation for quality, and work with the AI team for model improvements.Bridge AI capabilities to product workflows: Collaborate with product managers to integrate AI into user-facing workflows. Leverage a deep understanding of AI agent capabilities to reimagine workflows and design ideal, genuinely AI-native user experiences, moving beyond merely 'bolted-on' AI.Own the feedback loop between annotation, evaluation, and improvement: Oversee the full AI lifecycle: define annotation, ensure output quality, evaluate, identify failure modes, and drive mitigation with AI engineering. You are accountable for model reliability in production, not just demos.Must Haves:4+ years in Product Management with at least 1.5 years working directly on AI/ML products.Hands-on experience with AI engineering concepts: RAG pipelines, agents, MCPs, LLM APIs, and LLM evaluation frameworks.Ability to vibe code - comfortable using Cursor, Copilot, or similar tools to build quick prototypes, evaluation apps, and POCs independently.Experience formulating ML/NLP problem statements from messy, real-world dataStrong understanding of how LLM-based agents work, how to decompose problems into agent architectures, and how to evaluate their reliability.Excellent communication skills with the ability to operate across AI engineering, product, design, and data annotation teams.Self-driven, with a bias toward action. You don’t wait for permission to prototype, investigate, or push things forward.Why Join Us?Impact at scale - The AI you build directly accelerates cancer research and improves patient outcomes worldwideCutting-edge problems - You’ll work on some of the hardest and most interesting LLM engineering challenges in a highly regulated industry.World-class team - Collaborate with experts across AI, engineering, product, and oncology with best-in-industry compensation.Culture that ships - We’re a team that works hard and plays hard (company-sponsored workations in Bali, Sri Lanka, Goa, and morePerks & Benefits:Lunch Provided at the Office – one less daily decision, one happier employee.Flexible Working Hours – we care about output, not clock-ins.Health Insurance – comprehensive coverage for you and your family.Zomato Meal Benefit – breakfast and dinner can be ordered when you come in early or leave late, because effort deserves fuel.
Job Title
AI Product Manager