Software Engineering Manager Engineering Productivity EngProd
Software Engineering Manager Engineering Productivity EngProd
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$ 248000 - 349000
1 Vacancy
Job Description
Snapshot
We are looking for a Software Engineering Manager to lead our existing Engineering Productivity (EngProd) team. Are you passionate about amplifying the impact of worldleading AI researchers and engineers Do you thrive on building highperforming teams and designing solutions that remove friction at scale In this role you will lead and grow a dedicated team focused on optimizing the tools workflows and infrastructure that underpin our groundbreaking research. Youll partner closely with research scientists and engineers understand their complex needs and drive the strategy for developing innovative generalizable solutions. Your team will be instrumental in shaping how efficiently DeepMind operates and collaborates with key infrastructure teams across Google.
About Us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The Role
As the Engineering Manager for EngProd you play a critical role in accelerating the pace of AI discovery at Google DeepMind. You are the bridge between the cuttingedge needs of our researchers and the vast capabilities of Googles engineering ecosystem. This isnt just about fixing bugs; its about strategically identifying systemic bottlenecks and driving the design and implementation of highleverage solutions.
You and your team will immerse yourselves in complex research projects to gain deep empathy for user pain points. Youll then translate these insights into a clear technical vision and roadmap for the EngProd team. The scope is broad from optimizing build and test systems to improving largescale compute orchestration and streamlining the entire ML development lifecycle. Youll champion a firstprinciples engineering mindset to tackle novel challenges and foster a culture of engineering excellence. This is a unique opportunity to influence AI development at its core working across diverse technical domains and shaping the infrastructure that powers the future of AI.
Key responsibilities:
As the leader of the EngProd team your primary responsibilities will be to:
- Build mentor and coach a highperforming team of talented engineers fostering a collaborative and inclusive team culture focused on impact.
- Develop and execute the technical and organizational strategy aligning with broader research and engineering goals.
- Guide your team in designing building and maintaining robust scalable and userfriendly tools systems and workflows that significantly enhance researcher and engineer productivity.
- Deeply understand the challenges faced by researchers and engineers through direct engagement and data analysis. Translate these needs into prioritized team goals and impactful projects.
- Build strong relationships and collaborate effectively with AI researchers other engineering teams within DeepMind and key infrastructure partners across Google. Influence partner roadmaps to better serve DeepMinds needs.
- Oversee efforts to instrument measure streamline and improve the systems core to DeepMinds development loop (e.g. code repositories build/test systems deployment pipelines compute resource management).
- Effectively communicate your teams vision progress and impact to leadership and the wider organization.
About You
You are a technically grounded leader passionate about creating forcemultipliers for engineering and research teams. You have a strategic mindset a knack for identifying systemic improvements and a proven ability to lead teams to deliver impactful solutions.
- You lead by example: You foster engineering excellence and can guide technical discussions effectively.
- You are userobsessed: You are driven to understand user pain points and build solutions that genuinely improve their experience and productivity.
- You think at scale: You have experience with and enthusiasm for leveraging largescale distributed systems and tackling complexity.
- You are a strong communicator and influencer: You can articulate a vision build consensus and collaborate effectively across diverse teams and levels.
- You are passionate about developing people: You find joy in mentoring engineers and growing a successful team.
In order to set you up for success as a Software Engineering Manager at Google DeepMind we look for the following skills and experience:
- Bachelors degree in Computer Science a related technical field or equivalent practical experience.
- Past experience managing or technically leading small/medium software engineering teams.
- Strong understanding of the software development lifecycle engineering best practices and developer tooling.
- Excellent programming skills particularly in Python and/or C and experience with large codebases.
- Good understanding of modern AI/ML infrastructure ideally including distributed systems build/CI/CD systems or largescale compute environments.
- Excellent communication interpersonal and stakeholder management skills.
- An interest in Google DeepMinds mission and the advancement of AI.
In addition the following would be an advantage:
- Experience specifically within an Engineering Productivity Developer Tools or SRE team.
- Deep familiarity with modern AI/ML infrastructure workflows and model lifecycle stages.
- Experience with largescale distributed compute and workload scheduling systems (e.g. Kubernetes Slurm Borg).
- Experience with distributed build systems (e.g. Bazel).
- Experience designing and improving the User Experience (UX) of complex technical systems.
- Expertise in profiling debugging and optimizing complex systems (especially Python).
- Experience training or working with largescale AI models.
- Contributions to maintaining and improving the health of large complex code repositories.
The US base salary range for this fulltime position is between $248000 $349000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 16th April 5pm BST
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Required Experience:
Manager
Employment Type
Full Time
