Own the product vision and strategy for edge AI experiences across vision, language, speech, and multimodal domains.
Be in sync with the dynamic landscape of LLM/SLM/MLM etc., models and be familiar with model compression techniques.
Define the vision for on-device multimodal AI (combining audio, voice, and vision) and align it with PC and mobile hardware capabilities.
Drive end-to-end strategy for software and hardware (including firmware) interactions, specifically focusing on how AI models impact power, performance, and battery life.
Manage critical performance trade-offs (e.g., latency vs. accuracy) to ensure AI features have minimal impact on power and performance and do not impact battery life.
Experience defining, developing, and delivering production-ready software applications that bridge the gap between high-level user interfaces and low-level system firmware.
Lead the integration of multimodal AI capabilities into software features, ensuring that hardware acceleration (NPU/GPU) is leveraged to maximize on-device efficiency.
Collaborates closely with engineering, design, and other relevant teams to ensure the successful development and delivery of high-quality software solutions on time and within scope.
Translates complex market and stakeholder needs into product requirements and definitions.

Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
4 + years in technical product management, with at least 2+ years specifically in AI/ML or data-driven products.
The ability to track both product outcomes (user engagement) and model performance (latency, precision, recall etc).
Proficiency in AI prototyping tools to demonstrate UX concepts for conversational or multimodal interfaces.
Experience managing the data lifecycle—acquisition, labeling, and quality—to train reliable models.
Exceptional skill in translating complex AI concepts into actionable plans for non-technical stakeholders and executive leadership.
Distill complex technical roadmaps into persuasive narratives for cross-functional stakeholders and executive leadership.
Drive hardware and software synchronization to ensure high-quality product delivery within strict project timelines.
Lead end-to-end product launches by aligning marketing, sales, and engineering efforts toward a unified go-to-market strategy.
Neutralize project risks by identifying and resolving strategic bottlenecks before they impact team velocity or delivery goals.

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

SW Product Manager – Edge AI, On-Device Experiences

Key skills