Senior Product Manager – Technical (PMT), Edge AI & Applied Science

Role

This Senior Product Manager – Technical will own product vision and strategy for edge AI experiences enabled by extreme model compression across vision, language, speech, and multimodal domains. The role is hands-on: you will personally prototype and build early experience concepts (vibe coding, notebooks, scripts, lightweight apps) to explore interaction paradigms and to influence technical direction.

Key Responsibilities

• Own product vision, strategy, and roadmaps for edge AI experiences that leverage aggressive model compression.
• Personally prototype and build early concepts using vibe coding, scripts, notebooks, and lightweight applications to validate ideas and inform direction.
• Translate customer needs, technical capabilities, and scientific insights into clear product requirements and success metrics grounded in working prototypes.
• Partner closely with applied scientists and engineers to evaluate trade-offs across quality, latency, memory, power, and cost through hands-on experimentation.
• Drive product initiatives end-to-end from concept and experimentation through development, launch, and iteration.
• Use prototypes, demos, and experiential artifacts to align stakeholders, secure buy-in, and accelerate execution across science, engineering, UX, and leadership.
• Identify risks, unblock teams, and course-correct to ensure delivery of high-quality, customer-focused outcomes.
• Measure product success through data, customer signals, and experiential quality; iterate rapidly based on learnings.

Requirements

Basic Qualifications

• Bachelor’s degree; Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience).
• 5+ years of experience in product management, technical product leadership, or equivalent roles delivering complex technical products end-to-end.
• Proven experience owning product strategy, roadmap definition, and execution with engineering and science teams.
• Experience with feature delivery and making tradeoffs for a product; experience managing technical products or online services.
• Experience contributing to engineering discussions about technology decisions and strategy; strong technical fluency to engage in architecture and system-level trade-offs.
• Demonstrated ability to operate in highly ambiguous environments and drive clarity through action.

Preferred Qualifications

• Familiarity with machine learning systems, edge AI, model compression, or on-device inference.
• Hands-on experience building or prototyping technical products using code, notebooks, scripts, or experimental frameworks.
• Experience using analytical tools such as Tableau, Qlikview, or QuickSight.
• Comfort with vibe coding and rapid experimentation as core product discovery and validation tools.
• Experience influencing direction through working demos and artifacts rather than only written documentation.