
Organizing the world's information and making it universally accessible.
Senior Software Engineering Manager, AI/ML, Google Cloud AI
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Set and communicate team priorities that support the broader organization's goals, ensuring alignment of strategy, processes, and decision-making across teams.
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Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.
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Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
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Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
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Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
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Bachelor’s degree or equivalent practical experience.
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8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
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5 years of experience in a technical leadership role.
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5 years of experience in a people management or team leadership role.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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