At a Glance
- Tasks: Lead a team of engineers to enhance data quality for GenAI projects.
- Company: Join Google, a leader in tech innovation and digital transformation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with global collaboration and career advancement opportunities.
- Why this job: Make a real impact on cutting-edge AI projects while developing your leadership skills.
- Qualifications: 8 years in software development and 3 years in technical leadership required.
The predicted salary is between 80000 - 100000 £ per year.
Minimum qualifications
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C++).
- 3 years of experience in a technical leadership role; overseeing strategic projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience with exploratory data analysis.
Preferred qualifications
- Master's degree in Computer Science, Statistics, or Mathematics.
- Familiarity with ML production tools and lifecycle.
- Strong cross-functional collaboration skills.
About the job
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. We are building Google-wide first-party tooling for onboarding very large rater workforces to meet the human data needs for all Gemini use cases. Our team builds and maintains platforms, scalable infrastructure services, and applications in support of human computation, enabling the collection, storage, and management of large-scale human-generated or human-augmented datasets used by teams in Google and Alphabet working on GenAI products and services.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Lead a team of Engineers in alignment with Google's manager expectations by delivering results, building a community, and developing people.
- Improve the quality of data collections used for GenAI model training by identifying best practices through quantitative pilot studies and implementing the adoption of these practices by human data collection systems.
- Productionize and standardize methods developed by data scientists for high-quality data and ensure that these metrics are visible to the right stakeholders, meaningful, and actionable.
- Collaborate with horizontal infrastructure teams to monitor and report data quality at every stage of the data collection lifecycle, from collection design through training and model release.
- Provide technical and managerial guidance to the Crowd and Data Platform team. Work cross-functionally with Data Science, Product, UX/UXR, Infrastructure, and Operations teams.
Engineering Manager, GenAI Human Data Quality employer: Google
As an Engineering Manager at Google, you will thrive in a dynamic and innovative environment that champions collaboration and personal growth. With access to cutting-edge technology and a commitment to employee development, Google fosters a culture where your leadership can make a significant impact on large-scale projects while working alongside some of the brightest minds in the industry. Enjoy competitive benefits and the unique opportunity to shape the future of GenAI products in a company that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager, GenAI Human Data Quality
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to engineering management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your leadership skills effectively.
✨Tip Number 3
Showcase your technical expertise during interviews. Be ready to discuss your experience with programming languages like Python or C++, and how you've led teams through complex projects. This is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager, GenAI Human Data Quality
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8 years of software development experience and any leadership roles you've held. We want to see how your background aligns with the technical and managerial aspects of the role.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and C++. Be ready to discuss your past projects in detail, focusing on your technical leadership experience and how you've overseen strategic projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your people management experience. Think about times when you successfully guided a team through challenges or improved team dynamics. This will demonstrate your ability to lead effectively in a technical environment.
✨Understand the Data Lifecycle
Familiarise yourself with the data collection lifecycle, especially in relation to GenAI. Be prepared to discuss how you would improve data quality and implement best practices based on your exploratory data analysis experience.
✨Cross-Functional Collaboration is Key
Since this role involves working with various teams, think of examples where you've collaborated across functions. Highlight your communication skills and how you’ve managed to align different stakeholders towards a common goal.
