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Staff Mobile Engineering Manager, GeminiApp

Google DeepMind

Staff Mobile Engineering Manager, GeminiApp

Google DeepMind

Mountain View, California, US

·

On-site

·

Full-time

·

6d ago

Snapshot

Bring groundbreaking AI capabilities to life in the Gemini App. Join Google Deep Mind's mission to advance science and benefit humanity by solving intelligence. We are seeking an experienced Engineering Manager/TLM to provide technical leadership and build a cutting-edge application that will redefine how billions of users interact with AI. Our team is the driving force behind many of Google's most ambitious and impactful AI breakthroughs, working in a fast-paced, creative atmosphere where features are delivered to users in very short timeframes.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, we’re 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

You will lead the team responsible for building and growing the Gemini app on iOS. You are a product-minded leader passionate about defining how people interact with AI on a global scale. You excel at leading teams to build high-quality native applications and thrive in the ambiguity of building novel UIs for emerging technologies.

Key Responsibilities:

  • iOS Platform Stewardship: Act as the "Guardian" of the iOS app, setting the long-term technical roadmap and balancing rapid feature delivery with relentless modernization and technical debt reduction.

  • Architectural Excellence: Lead the shift toward modular UI componentization and robust foundations to drive developer velocity, code reuse, and platform consistency across the Gemini ecosystem.

  • UI/UX Innovation: Drive the implementation of novel, experimental UI patterns and high-performance interactions that define the next generation of AI-human engagement on mobile.

  • Technical Leadership & Delivery: Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.

  • Strategic Cross-Functional Alignment: Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

Key Qualifications:

  • Proven experience as a technical lead and/or engineering manager with a track record of supporting and leading high-performing mobile engineering teams.

  • Extensive professional experience and expert-level proficiency in native iOS mobile development, with a history of shipping complex, user-facing applications at scale.

  • Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.

  • A passion for developing engineers, with direct experience in hiring, mentoring, and managing performance and career growth.

  • Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.

About You

You are a seasoned IOS leader who thinks at a system-level, consistently navigating ambiguity to deliver elegant and robust solutions. Your influence extends beyond yourself; you elevate the skills of the engineers around you through mentorship and by championing technical excellence. You have a product-driven mindset and a passion for craftsmanship, with a history of leading the architecture of successful mobile apps. While you are an expert in native mobile development, you also possess a strong command of the server-side, enabling you to design and build the supporting infrastructure that unlocks powerful client-side features. Familiarity with ML systems and LLM concepts is a plus but not required.

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google Deep Mind, 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.

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About Google DeepMind

Google DeepMind

DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.

1,001-5,000

Employees

London

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.5

Career

4.0

Management

2.8

68%

Recommend to a Friend

Pros

Smart and brilliant colleagues

Good compensation and benefits

Work flexibility and remote options

Cons

Poor management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and goals

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

60%

Experience

Positive 60%

Neutral 40%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Team Matching Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Research Experience

System Design