Senior Software Engineering Manager, AI/ML GenAI, Google Workspace
Google · New York, NY
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- On site
- Full-time
- $313,500 / year
- New York, NY
Job highlights
- Lead AI/ML GenAI teams for Google Workspace products.
- Manage engineers across multiple teams and locations.
- Define technical roadmaps and strategy for AI solutions.
- Oversee large-scale ML infrastructure and GenAI implementation.
- Impact billions of users with future productivity tools.
About the role
About The Job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
Responsibilities
- Establish and communicate team priorities that support the broader organization's goals while aligning strategy, processes, and decision-making across teams.
- Define clear expectations with individuals based on their level and role and aligned to the broader organization's goals, meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams while evolving the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions.
Key skills/competency
- Software Engineering Management
- AI/ML
- GenAI
- LLMs
- Team Leadership
- Technical Strategy
- ML Infrastructure
- Product Strategy
- People Management
- System Design
Skills & topics
- Software Engineering Manager
- AI
- Machine Learning
- GenAI
- LLM
- Google Workspace
- Technical Leadership
- People Management
- ML Infrastructure
- Python
- C++
- Java
- JavaScript
- System Design
- Product Strategy
How to get hired
- Tailor your resume: Highlight experience in AI, ML, GenAI, and technical leadership.
- Showcase leadership: Emphasize people management and team-building successes.
- Quantify achievements: Use numbers to demonstrate impact on large-scale projects.
- Prepare for technical interviews: Brush up on system design, ML concepts, and coding.
- Understand Google's culture: Research their commitment to innovation and user impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key qualifications for the Senior Software Engineering Manager AI/ML GenAI role at Google?
- The minimum qualifications include a Bachelor's degree or equivalent, 8 years of software development experience, 7 years in ML design and infrastructure optimization, 5 years in technical leadership, 5 years in people management, and 2 years with state-of-the-art GenAI techniques like LLMs. A Master's or PhD and experience in a complex, matrixed organization are preferred.
- What kind of AI/ML and GenAI experience is Google looking for in this role?
- Google is seeking experience with state-of-the-art GenAI techniques such as LLMs, Multi-Modal, and Large Vision Models, as well as related concepts like language modeling and computer vision. You should also have experience optimizing industry-scale ML infrastructure, including model deployment, evaluation, data processing, and fine-tuning.
- What is the expected salary range for the Senior Software Engineering Manager AI/ML GenAI position at Google in the US?
- The US base salary range for this full-time position is $262,000 - $365,000. This range is for base salary only and does not include bonuses, equity, or benefits, which are also provided.
- What will be my primary responsibilities as a Senior Software Engineering Manager at Google?
- You will establish team priorities, define expectations and provide coaching to individual engineers, develop long-term technical roadmaps, oversee systems design, and drive technical project strategy. This includes leading large-scale ML infrastructure optimization and the design/implementation of state-of-the-art GenAI solutions.
- How does Google approach diversity and inclusion for this Senior Software Engineering Manager role?
- Google is proud to be an equal opportunity workplace and an affirmative action employer, committed to diversity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. They consider qualified applicants regardless of criminal histories.
- Can I apply for the Senior Software Engineering Manager role if I have a disability requiring accommodation?
- Yes, absolutely. If you have a disability or special need that requires accommodation during the application or interview process for the Senior Software Engineering Manager AI/ML GenAI role, please let Google know by completing their Accommodations for Applicants form.