Job Description

San Jose California

About Us

We are redefining the role of the screen. Our wall-sized, intelligent displays are more than hardware — they are AI-powered workspaces that move with you, enabling collaboration and productivity anywhere. This role will be central in turning the vision into reality.

Your Profile

We are seeking a senior software leader to drive the end-to-end development of the software platform that powers our next-generation intelligent displays. This role combines technical depth, product vision, and leadership skills to bring our display ecosystem to life; from device software and companion apps to AI-powered collaboration tools.

Your tasks

• Lead the architecture, design, and development of the entire software ecosystem for our displays.
• Manage and mentor global teams of software developers, building a high-performance engineering culture.
• Define and implement the software roadmap, working closely with Product, and Hardware teams.
• Ensure scalability, security, and performance across all software layers.
• Collaborate with hardware, design, and product leadership to deliver a seamless hardware-software experience.
• Own the integration of AI models and services into the product experience.
• Act as a technical voice of the software platform with internal stakeholders, customers, and external partners.

Qualifications

• 8+ years in software engineering leadership, with at least 3 years in a senior management role.
• Strong technical background in one or more of the following: Operating systems, embedded software, or firmware, Cloud-native architectures and distributed systems & AI/ML-powered applications and services.
• Entrepreneurial mindset, with experience building or scaling products in AI or enterprise tech,
• Track record of shipping complex, large-scale software platforms (ideally in consumer electronics, displays, or enterprise collaboration tools).
• Strong leadership, communication, and cross-functional collaboration skills.
• Ability to balance strategic planning with hands-on technical decision-making.
• Experience integrating hardware + software products in a consumer or enterprise environment.
• Familiarity with AI frameworks, APIs, and model integration.

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