Lead Associate, AI Platform Product Management
$141,000–$184,000 year
On-siteReston, Virginia, United States or Plano, Texas, United States
Job Summary
Own and manage the product vision and roadmap for core AI Platform capabilities, aligning priorities to enterprise AI strategy and business outcomes. Deliver foundational AI platform services that enable consistent, reliable, and compliant development, deployment, and operation of AI solutions at enterprise scale. Provide standardized frameworks, runtimes, and orchestration to build, deploy, and manage AI agents reliably across research and production environments. Manage enterprise access to models, developer tools, evaluation frameworks, and prompt assets to accelerate high-quality, repeatable AI development. Partner with business teams to onboard priority use cases, translate needs into platform capabilities, and drive adoption through a strong developer and user experience. Balance innovation velocity with enterprise-grade security, governance, and cost controls to ensure safe, scalable, and responsible AI adoption across the enterprise.
Required Qualifications
- 5+ years of experience in product management, platform products, or technology strategy
- Demonstrated experience working on complex platforms or developer‐focused products
- Experience working with AI/ML and data platforms, or cloud infrastructure
- Strong product strategy, roadmap, and execution skills
- Ability to translate complex technical concepts into clear business value
- Experience partnering across engg., security, finance, and risk teams
- Strong stakeholder management, communication, and influencing skill
- Algorithm Development
- Big Data
- Data Modeling
- Data Science
- Deep Learning
- Distributed Systems
- Machine Learning (ML)
- Python (Programming Language)
- Software Engineering
- Structured Query Language (SQL)
- Bachelor's Level Degree
Desired Qualifications
- Experience with agentic AI systems, LLM platforms, or AI dev tooling
- Familiarity with FinOps, observability, and platform governance
- Experience operating in regulated or risk‐sensitive environments
- Background in financial services, data platforms, or enterprise AI
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