webAI ยท 1 hour ago
Technical Product Manager, AI
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. The Technical Product Manager, AI will define and guide the development of AI capabilities, collaborating with various teams to translate complex technical requirements into actionable product plans.
Computer Software
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
Qualification
Required
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
Preferred
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
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match (US-based only)
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
$500/year Function Health subscription (US-based only)
Free parking, for in-office employees
Unlimited Approved PTO
Parental Leave for Eligible Employees
Supplemental Life Insurance
Company
webAI
webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.
H1B Sponsorship
webAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (2)
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-16
Company data provided by crunchbase