This role involves leading a frontier focused research and engineering team focused on delivering an AI-based health, wellness, and home experience that leverages all of the emerging AI capabilities in the computing community, as well as the best that
Gemini base model offers.
In this role, you will work across many organizations including Research, Product, Program, UX, all other parts of Engineering, and legal/regulatory. You would be fully accountable for marshaling resources, managing all aspects of the team’s work in this area, setting and driving the technical and strategic direction, and creating a highly collaborative environment both within and outside of the team. This role demands rapid iteration and explorations through a set of nimble teams.
The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team
researches, designs, and develops new technologies and hardware to make
users’ homes more helpful. Our mission is the helpful home: to create a
home that cares for the people inside it and the world around it.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $307000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Lead the early discovery phase and translat innovative new health and home ideas, this includes driving the idea explorations.
- Work with a wide range of teams, including Research, Product Management, Program Management, UX, Engineering, and Legal/Regulatory, and educate other functions on the possibilities and limitations of new technologies.
- Lead a team of software engineers and research scientists, with the goal amplifying explorations with emerging development tools.
- Be fully accountable for the strategic direction of our various health and home frontier initiatives, including resource allocation and fostering a collaborative environment.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 15 years of experience leading software teams across multiple geographies with a focus on developing AI and ML-based solutions in health.
- Experience with leading research and development initiatives.
Preferred qualifications:
- Master's degree or PhD in Computer Science or equivalent practical experience in AI.
- Experience in leading highly innovative 0-1 efforts.
- Experience with developing AI and ML-based solutions for consumer experiences including contributions to foundation model development, agentic architectures, and health sensing algorithm development.
- Experience working with highly cross-functional teams (including Product, Program, Research, Regulatory) including outside collaborators and partners.
- Understanding of the limitations of hardware sensor signals and AI capabilities to help inform strategy on how to address those gaps, and how to translate cutting edge research into practice.