Senior Software Engineering Manager, AI Platform

Humane - San Francisco, CA

Full-time - Senior

San Francisco, CA

Computer and Electronic Product Manufacturing

About the position

Humane's AI Platform team pioneers innovation across consumer and enterprise applications, leveraging the power of cloud-driven inference and on-device intelligence. As the Senior Engineering Manager of AI Platform, you will lead a highly skilled and collaborative team in building robust systems, including our AI SDK, context management frameworks, advanced personalization strategies, and inference solutions for speech and language models. This role calls for a passion for cutting-edge technologies, an aptitude for solving complex problems, and the ability to design modular, distributed systems that redefine human-computer interaction.

Responsibilities

• Build and lead the AI Platform team, fostering an inclusive, collaborative, and high-performing culture.
• Design and implement systems that enable seamless personalization and intelligent agent orchestration across cloud and on-device environments.
• Evaluate and integrate third-party large language models (LLMs) and APIs as they emerge (e.g., Claude, OpenAI Voice API).
• Drive innovation in optimizing latency, balancing trade-offs between on-device and cloud inference for multiple speech and language models.
• Develop and maintain a scalable, high-performance AI SDK tailored to both consumer and enterprise applications.
• Address ambiguous and challenging AI problems, from context management to prompt optimization, for first-of-its-kind usage models.
• Collaborate with cross-functional teams to create novel user experiences and define technical strategies.

Requirements

• 7+ years of experience with programming languages such as Java, C++, Python, or similar.
• 5+ years in a technical leadership or management role, guiding diverse and distributed teams.
• Expertise in building scalable, AI-driven solutions for both cloud and on-device environments.
• Proven experience integrating LLMs or other machine learning models into real-world, production-level products.
• Strong iterative development mindset, with a sense of ownership and accountability for project success.
• Exceptional communication and collaboration skills, with the ability to work across technical and non-technical domains.
• Hands-on experience in voice technologies, personalization strategies, or prompt engineering.
• Deep knowledge of distributed systems and networked devices.
• Expertise in latency optimization, memory architecture, and cloud-device orchestration.
• Solid background in open-source machine learning or AI technologies.

Benefits

• comprehensive healthcare insurance
• disability insurance
• life insurance
• flexible spending accounts
• 401K plan
• generous paid time off and leave programs
• commuter benefits
• team events
• snacks and other perks