Staff 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 Staff Technical Product Manager is a senior-level leader responsible for driving strategy, execution, and delivery of webAI’s most complex and high-impact product initiatives. This role sits at the intersection of AI research, distributed systems engineering, and enterprise product delivery.You will define long-term product direction, lead cross-functional teams, and ensure that webAI’s distributed AI platform, LLM capabilities, and on-device inference stack evolve with precision and speed. As a senior individual contributor, you will own technical decision-making, influence architecture, and act as a thought partner to engineering leadership across the company.This role is ideal for someone who thrives in ambiguity, enjoys solving deeply technical problems, and can translate complex AI systems into scalable, intuitive, customer-ready products.Responsibilities:Develop and own long-term product strategy for core platform components including distributed inference, model execution, APIs, and enterprise integrationsWork closely with Engineering, Research, and Applied AI leadership to define technical requirements and drive architectural decisionsLead product planning and prioritization ensuring alignment across teams and with company objectivesTranslate mission-critical customer requirements into actionable product specificationsBuild detailed product documentation, product briefs, roadmaps, and success metrics for high-complexity initiativesPartner with Go-to-Market, Customer Success, and Solutions teams to ensure smooth deployments and strong adoptionBreak down ambiguous challenges into clear workstreams and drive execution across the full product lifecycleIdentify technical risks, interdependencies, and bottlenecks, recommending data-supported mitigation strategiesDefine and maintain product standards including documentation, release processes, and cross-functional communicationStay current with advancements in AI, LLMs, distributed systems, and emerging technologiesMentor junior and mid-level product managers and elevate technical product thinking across the teamQualifications:5+ years of technical product management, ML engineering, or technical program management experienceStrong understanding of AI and ML technologies including LLMs, generative AI, inference frameworks, and ML training workflowsProven ability to lead high-impact product initiatives requiring deep technical judgmentExperience working closely with engineering teams on architecture, scaling, or infrastructure productsKnowledge of distributed systems, API design, compute infrastructure, or edge-based workloadsStrong communication skills with the ability to simplify complex technical topicsTrack record of delivering products in fast-paced, high-growth, or ambiguous environmentsBachelor’s Degree in Computer Science, Engineering, Mathematics, or related fieldPreferred SkillsHave shipped a widely adapted AI productExperience with on-device machine learning, model quantization, or edge inferenceHands-on ML or AI engineering backgroundFamiliarity with data pipelines, MLOps, and AI model performance evaluationAbility to design technical metrics, benchmarks, and reliability frameworksAbility to influence technical direction across engineering and research teamsWe 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 employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life InsurancewebAI 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.