Technical Product Manager, AI

webAI, Inc.•Austin, TX

32d

About The Position

The Technical Product Manager, AI will play a central role in defining and guiding the development of webAI's AI capabilities across distributed inference, large language models, on-device machine learning, and enterprise integrations. You will collaborate closely with engineering, applied AI, research, and customer-facing teams to translate complex technical requirements into clear product plans, ensuring our platform delivers meaningful value to public sector and enterprise users. This role requires strong technical depth, exceptional communication skills, and the ability to drive execution in fast-paced, high-impact environments. You will shape product strategy, prioritize roadmaps, and ensure AI features are delivered with performance, usability, and security in mind.

Requirements

3+ years of product management, technical program management, machine learning engineering, or related experience
Strong understanding of AI and machine learning technologies including modern LLMs, generative models, inference optimization, and distributed compute
Experience managing technical software or ML products from concept to delivery
Ability to translate customer needs into detailed, actionable product requirements
Strong technical background with the ability to understand model architecture, inference constraints, and system integration
Excellent communication skills capable of bridging technical and non-technical stakeholders
Experience working with engineering teams in fast-paced, iterative development environments
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Nice To Haves

Have shipped a widely adapted AI product
Experience with on-device machine learning, edge inference, or hardware-constrained environments
AI or ML engineering experience or graduate-level education in machine learning
Familiarity with data pipelines, MLOps, and AI model evaluation frameworks
Experience defining metrics, performance benchmarks, or AI reliability standards
Ability to thrive in a fast-moving startup environment with evolving priorities

Responsibilities

Develop product strategy, requirements, and roadmaps for AI features across distributed inference, LLM integration, and model optimization
Partner with engineering and research teams to translate technical concepts into actionable product specifications
Own the full product lifecycle from ideation to launch including requirements gathering, prioritization, execution, and delivery
Work directly with customers and partners to understand mission needs and ensure solutions align with real-world use cases
Create detailed product documentation, technical briefs, release notes, and internal communication materials
Lead cross-functional collaboration between Engineering, Applied AI, Research, and Go-to-Market teams
Evaluate competing priorities and make data-driven tradeoff decisions that balance complexity, user needs, and business goals
Track performance metrics, model outputs, and reliability indicators to drive continuous improvement
Stay up to date on AI advancements including LLMs, multimodal models, on-device inference, and infrastructure trends
Ensure clear communication across teams and alignment on timelines, risks, and deliverables