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AI Product Manager
Job description
We're on the lookout for a product leader to steer a portfolio that includes AI-powered solutions and take full responsibility for how our Product Management team deploys AI — spanning strategy, standards, investment choices, governance, and capability development. You'll be tasked with leading and growing a team of Product Managers, owning product strategy and P&L throughout the portfolio, and raising the organization's AI-related product expertise Responsibilities Oversee and develop a team of Product Managers running a portfolio featuring AI-powered products, while taking complete ownership of strategy, vision, and P&L across the entire portfolio Develop an AI-conscious product strategy that recognizes competitive advantages against commoditization pressures and sequences roadmaps according to technological developments Guide build, buy, and partnership decisions involving AI investments, oversee business case development and ROI metrics, and control experimentation budgets Direct AI feature economics and operational lifecycle tasks including cost tracking, latency improvements, pricing frameworks, and vendor or model drift decisions Build organizational standards, operating structures, and review checkpoints for AI feature work to ensure reliable quality and accountability Lead responsible AI governance efforts touching on data privacy, algorithmic bias, security, transparency, human oversight, and regulatory compliance Advance team AI capabilities via targeted coaching, shared playbooks, prompt and agent libraries, and rigorous hiring benchmarks Promote effective cross-functional collaboration among engineering, data science, design, and machine learning groups while preserving product accountability Act as the organization's spokesperson on AI product strategy and roadmap plans with senior clients and stakeholders Requirements At least 7 years of applicable Product Management experience, with demonstrated success overseeing product lines and leading PM or PO teams History of successfully bringing 3 or more products to market, inclusive of sophisticated AI-powered capabilities Demonstrated responsibility for comprehensive product vision, strategic roadmaps, portfolio alignment, and P&L oversight Strong financial modeling and portfolio evaluation skills for prioritizing budgets based on ROI and assessing AI business cases Deep expertise across various business domains, coupled with sharp understanding of technological disruption and market dynamics Working knowledge of AI fundamentals, capabilities, and limitations to support technical proposals and investment decision-making Executive-caliber leadership skills in shaping company strategy, communicating intricate direction to senior stakeholders, and advancing core business KPIs Capability to set up operational frameworks for AI deployment and improve team performance through structured development and coaching Strong mastery of AI-centered portfolio strategy, investment decision-making, and roadmap ordering Broad knowledge of responsible AI governance, encompassing privacy, security, auditing, and regulatory frameworks such as the EU AI Act Skilled in overseeing AI feature economics, unit economics, infrastructure expenses, and model lifecycle choices Advanced proficiency in assessing AI prototypes, technical proposals, and experimental efforts Sustained practical use of AI tools throughout daily tasks to remain adaptable as technologies evolve Fluent English abilities at a C1 level or higher, enabling productive cross-border teamwork Nice to have Direct, practical experience building and prototyping advanced AI features to better gauge technical feasibility Visible involvement in external thought leadership through conference talks, published writing, and community participation Hands-on organizational background establishing enterprise-wide AI governance and enablement initiatives
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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