Technical AI Product Manager

Technical AI Product Manager

We are seeking a Technical AI Product Manager who combines strong product management fundamentals with technical fluency in AI systems. This role requires the ability to work closely with business, engineering, data science, and platform teams to define, build, and scale AI-powered products. The ideal candidate can translate business problems into technical solutions, drive execution across cross-functional teams, and demonstrate strong systems thinking across modern AI architectures and workflows.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Key Responsibilities

• Define product vision, roadmap, and execution strategy for AI-driven products and platforms.
• Partner with engineering, AI, data, and infrastructure teams to deliver scalable AI solutions.
• Drive product discovery, requirements definition, prioritization, and go-to-market planning.
• Collaborate on capabilities including model serving, orchestration, data pipelines, and evaluation.
• Collaborate to define scalable architectures for AI applications: RAG, data integrations, and AI guardrails.
• Translate customer and business needs into features and measurable outcomes.
• Monitor product performance, adoption, reliability, and operational metrics.
• Drive stakeholder alignment across business, engineering, security, compliance, and operations.

Required Qualifications

• 10+ years of Product Management experience, including experience working on AI products.
• Strong technical understanding of systems design and thinking, data, platforms and modern software architectures.
• Strong experience driving product launch strategy, GTM planning, and user adoption initiatives.
• Experience working with AI/ML systems, including concepts such as: LLMs and Generative AI, Retrieval-Augmented Generation (RAG), Vector Databases, Model serving and inference architectures, AI safety, governance, and guardrails, Data integration and orchestration pipelines.
• Ability to communicate effectively with both technical and non-technical stakeholders including Sr/Directors and VPs.
• Strong analytical, problem-solving, and prioritization skills.

Preferred Qualifications

• Experience with rapid AI prototyping, vibe coding workflows, and building evaluation or testing harnesses for LLM-based applications.