AI Product Manager
Weekday AI (YC W21) ยท Bengaluru, Karnataka, India
Apply & track with Apply Edge๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฑ๐ฌ-๐ญ๐ฑ๐ฌ ๐๐ฃ๐)Experience: 1+ yrs
The role involves building and evaluating sophisticated AI systems across areas such as reinforcement learning, coding environments, agentic workflows, model evaluations, and high-quality enterprise data.The ideal candidate will be excited by rapidly evolving AI technologies and comfortable working on complex, open-ended problems where experimentation, technical depth, and strong problem-solving skills are essential.RequirementsKey ResponsibilitiesDesign and develop reinforcement learning environments for coding, reasoning, and agentic AI applicationsBuild tools, workflows, and infrastructure to evaluate the capabilities and limitations of advanced AI modelsDevelop and maintain LLM evaluation frameworks, benchmarks, and test environmentsWork on coding agents and agentic systems involving multi-step reasoning, tool use, planning, and task executionDevelop high-quality datasets and enterprise data pipelines for AI training, evaluation, and model improvementAnalyse model outputs and identify failure modes, behavioural patterns, and opportunities for improvementDesign experiments to measure model performance across accuracy, reasoning, reliability, safety, and task completionBuild prototypes and proof-of-concepts using modern AI and machine learning techniquesDevelop Python-based tools, services, and automation to support AI research and engineering workflowsCollaborate with AI researchers, software engineers, data specialists, and product teams on complex technical problemsTranslate research ideas and experimental findings into scalable engineering solutionsImprove the quality, reliability, and efficiency of AI evaluation and data-generation processesContribute to technical documentation, experiment design, analysis, and knowledge sharingStay current with developments in LLMs, reinforcement learning, AI agents, model evaluation, and generative AIWhat Makes You a Great Fit1+ years of experience in software engineering, machine learning, AI research, data science, or a related technical fieldStrong programming skills in Python and the ability to build reliable, maintainable softwareStrong interest in Generative AI, LLMs, AI agents, and frontier model developmentUnderstanding of machine learning fundamentals, model training, evaluation, and experimentationFamiliarity with reinforcement learning concepts and environments is highly desirableExperience with LLM evaluation, benchmarking, prompt engineering, or AI application development is an advantageExposure to agentic AI systems, tool calling, multi-step workflows, or autonomous task execution is desirableStrong analytical and problem-solving skills with the ability to investigate complex model behavioursAbility to work with structured and unstructured datasets and develop data-processing workflowsExperience with APIs, Git, databases, cloud platforms, or modern software development practices is a plusStrong curiosity and willingness to work with rapidly evolving AI technologiesComfortable working on ambiguous problems and iterating quickly through experimentationExcellent communication and collaboration skills with the ability to work effectively across research and engineering teamsA Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, or a related discipline is preferred