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

The Edge AI & Applied Science organization is redefining what’s possible when advanced AI models are compressed to run efficiently on edge devices. Our mission is to push model compression, optimization, and systems innovation to unprecedented scales—unlocking entirely new classes of low-latency, privacy-preserving, always-available customer experiences.
We are looking for a hands-on Senior Product Manager – Technical (PMT) who thrives at the intersection of product vision, applied science, and building real experiences. This is not a traditional, document-only PM role. In this role, you are expected to personally prototype, experiment, and build early versions of experiences—using vibe coding, lightweight demos, notebooks, scripts, or simple apps—to explore what becomes possible when models are aggressively compressed and deployed on edge hardware.
You will act as both a product owner and an experience builder, shaping strategy not only through roadmaps and narratives, but through working artifacts that inspire teams, accelerate decision-making, and influence technical direction across the organization.

Key job responsibilities
Own the product vision and strategy for edge AI experiences enabled by extreme model compression across vision, language, speech, and multimodal domains.Personally prototype and build early experience concepts, using vibe coding, scripts, notebooks, and lightweight applications to explore new interaction paradigms made possible by compressed models.
Translate customer needs, technical capabilities, and scientific insights into clear product direction, requirements, and success metrics—grounded in real, working prototypes.
Partner deeply with applied scientists and engineers to evaluate trade-offs across quality, latency, memory, power, and cost, using hands-on experimentation to inform decisions.
Serve as a thought leader and internal evangelist for the new experiences that emerge when models are compressed to unprecedented scales, influencing adjacent teams and partner organizations.
Drive product initiatives end-to-end—from concept and experimentation through development, launch, and iteration—while navigating ambiguity and evolving constraints.
Use prototypes, demos, and experiential artifacts to align stakeholders, secure buy-in, and accelerate execution across science, engineering, UX, and leadership.
Define and own roadmaps that balance near-term customer impact with long-term platform and capability investments.Identify risks, unblock teams, and proactively course-correct to ensure delivery of high-quality, customer-obsessed outcomes.Measure product success through data, customer signals, and experiential quality, iterating rapidly based on learnings.