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eightfold

Product Manager II

Eightfold.ai
Bengaluru, IND
Full-time
Mid · 4+ years experience
Hybrid
Discovered 1 weeks ago
PythonSQLAPIs
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  • Develop and drive the product roadmap for the AI Platform and Talent Intelligence stack, translating complex technical problems into structured, scalable product solutions
  • Develop and expand core AI products — including match scoring, skills engine, talent intelligence, and AI interviewing — that are central to Eightfold's differentiation in the market
  • Define and monitor key data quality and model performance metrics; identify opportunities to improve coverage, accuracy, and depth of the talent intelligence graph
  • Partner closely with engineering to define technical requirements, evaluate model outputs, and drive successful feature delivery
  • Identify and implement opportunities to improve the efficiency, accuracy, and scalability of AI systems and underlying platform infrastructure
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; Master's or MBA is a plus
  • 4+ years of product management experience with a focus on AI, data, or platform products — OR — 2+ years of hands-on AI/ML or software engineering experience with a demonstrated interest in transitioning into product management
  • Proficiency with one or more of the following: Python, SQL, or data analysis tools; ability to read and interpret model outputs, evaluation metrics, and data pipelines
  • Hands-on familiarity with ML concepts — model training, evaluation, embeddings, ranking algorithms, or NLP — and the ability to engage credibly in technical discussions with engineering teams
  • Experience with platform-layer thinking: APIs, data infrastructure, microservices, or developer-facing products
  • Strong understanding of talent intelligence concepts — skills ontologies, labor market data, workforce analytics, or HR tech platforms — is a strong plus
  • Strong analytical mindset with experience defining and tracking metrics that measure product and model quality
  • Proven ability to work cross-functionally and communicate complex technical concepts clearly to both technical and non-technical audiences

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