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Sr. Product Manager - AI Platform
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Product ManagementProduct Manager
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Quick Summary
Overview
Eightfold is a global leader in an AI-native enterprise talent platform, trusted by the world’s largest & most respected Fortune 500 organizations. Our platform is built from the ground up,
Technical Tools
Product ManagementProduct Manager
Eightfold is a global leader in an AI-native enterprise talent platform, trusted by the world’s largest & most respected Fortune 500 organizations. Our platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems. What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together — in person and across functions — to build systems that scale in the real world. If you’re excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it. About the Team The Platform and AI team at Eightfold is responsible for developing and managing core AI algorithms and data sources that provide a competitive edge in the skills and HR technology space. This team is inherently AI-native, focusing on building data-driven products that leverage advanced machine learning techniques. We expect Product Managers to align closely with AI-driven insights and to be adept at conducting data evaluations, both of which are critical to the team's success. About the Role We are looking for a Sr Product Manager to drive strategy and execution across our AI Platform and Talent Intelligence stack — powering mission-critical capabilities such as match scoring, resume parsing, skills intelligence, AI interviewing, and the underlying platform that makes Eightfold's talent intelligence products possible. This role is a strong fit for two profiles: an experienced PM with deep technical and AI product chops, or a skilled AI/ML engineer ready to make the leap into product management. Either way, you thrive at the intersection of AI platform strategy, data quality, and model performance — and you're comfortable going deep with engineering teams to build systems that are accurate, scalable, and technically differentiated. Responsibilities 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 Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; Master's or MBA is a plus 6+ years of product management experience with a focus on AI, data, or platform products — OR — 4+ 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 We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in your work and see your work's positive impact on your colleagues, our customers, and the world. We believe in providing transparency and support so you can do the best work of your career. Hybrid Work @ Eightfold: At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution. Employees based near our Santa Clara, London, Bangalore, and Noida offices are expected to work from the office three days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. Our customer stories- https://eightfold.ai/customers/customer-stories/ Press- https://eightfold.ai/about/press
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Listing Details
- Posted
- June 11, 2026
- First seen
- June 11, 2026
- Last seen
- June 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- June 11, 2026
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