Technical Product Manager, AI

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

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.

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

Qualifications:

• 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 Skills

• 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

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

• Truth - Emphasizing transparency and honesty in every interaction and decision.

• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

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

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.