Development Engineer/Engineering Manager jobs at Asana - 101 jobs

A leading financial software company is seeking an executive to lead its Business Platform capabilities. The ideal candidate will drive technical strategies for AI solutions while fostering high-performance engineering teams. With over 15 years in software and 5 years in leadership, candidates should be adept at making informed decisions and leading substantial organizational changes. Competitive compensation package with significant rewards and a pay range of $297,000 - $402,000. #J-18808-Ljbffr

A leading tech company in Sunnyvale, CA, is seeking a VP of Engineering for its Cloud Protection Platform. You will innovate security technologies, lead engineering teams, and ensure compliance with security standards. Ideal candidates have over 15 years of enterprise software experience and a strong leadership background. This full-time position offers a competitive salary of $550,000 plus bonus and equity, with additional benefits. Join a company focused on security and digital transformation. #J-18808-Ljbffr

A leading technology company is seeking a Director of Engineering for YouTube Ads Creative Optimization in Mountain View, California. This position requires significant engineering expertise, particularly in AI and full stack leadership. Responsibilities include overseeing creative technology and leading complex projects aimed at enhancing media quality using AI/ML solutions. The role offers a competitive salary range between $294,000-$414,000, in addition to bonuses and equity, reflecting the candidate's skills and experience. #J-18808-Ljbffr

Google Sunnyvale, CA, USA Director+ Apply Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 15 years of experience building enterprise software. 10 years of experience leading and scaling engineering teams of 500+. 10 years of experience building cloud products. 5 years of experience in designing, developing, and deploying security solutions for large-scale cloud platforms. Preferred qualifications: Master\'s degree or PhD in Engineering or Cybersecurity. Experience successfully building software for large-scale distributed systems. Understanding of cloud security principles, architectures, and technologies. Proven track record of delivering within timelines. Proven leadership in managing cross-functional engineering teams at scale. About the job Cloud Protection Platform & Products is on a mission to make Google Cloud the most secure, transparent, and compliant cloud platform on the planet. We\'re investing heavily in building a security organization. As the VP of Engineering for Cloud Protection Platform & Products, you will be the driving motivation behind the engineering strategy for one of the world\'s most advanced cloud platforms. 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. The US base salary for this full-time position is $550,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Drive innovation by identifying and evaluating new security technologies and trends, translating them into strategic investments that enhance customer security posture. Foster a security-first culture within the engineering teams. Lead a team of security engineers, fostering a culture of excellence, innovation, and collaboration. Forge strong partnerships with senior leadership in Google Cloud\'s security, engineering, and product organizations to ensure seamless integration and alignment of security initiatives. Collaborate with customers and partners to understand their security requirements and translate them into actionable product roadmaps. Drive security, identity, and protection directly into our platform, scaling for both 1P and 3P users. Scale the engineering organization to meet the growing security demands of the GCP business. Ensure that all GCP products meet the highest security compliance standards. Drive risk assessment, and mitigation strategies for security products. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A financial technology company is seeking a Principal Machine Learning Engineer in Mountain View, California. This role involves leading AI strategy and deploying AI/ML solutions across financial products. Candidates should have over 10 years of experience in ML development, a Master's or Ph.D. in Computer Science, and expertise in Python and modern ML frameworks like TensorFlow and PyTorch. Competitive compensation and benefits are offered. #J-18808-Ljbffr

Minimum qualifications: Master's degree in a relevant Engineering field or equivalent practical experience. 20 years of experience as an engineering leader with experience in data center mechanical, electrical, power, plumbing, controls, and construction methods. 10 years of experience managing managers. Preferred qualifications: Experience managing a large organization of distributed teams larger than 100 individuals. Expertise in industry trends and standards related to data centers and IT equipment. Expertise in successfully designing and implementing sustainable goals. About the job As the Senior Director of Research and Development (R&D) Engineering, you will create an outlook and lead the incubation and design for Google's global data center components from the utility to the IT rack. You will challenge the status quo, improving on current designs and optimizing for operating requirements and constraints. In this role, you will leverage Google's unique strengths by partnering with Construction Delivery, Operations, Platforms, Supply Chain, and broader internal technical teams and external suppliers to analyze, align, and drive programs to completion. You will also collaborate, lead, and inspire design solutions that improve speed to capacity and lower costs while maintaining safety and security governance requirements. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $307,000-$427,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Design and develop Google's data center elements and custom equipment. Work closely with Google's IT, supply chain, and construction teams, and architects and engineering across mechanical, electrical, thermal, structural, controls, and networking, to develop optimal designs and rapidly bring them to fruition.

Minimum qualifications: Bachelor's degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with mobile application development or Android framework development. Experience in programming with Kotlin. 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. As a part of the Core Messaging team within Google Messages, you will be responsible for the application architecture, business logic, and the transport layer of the application, ensuring among other responsibilities that messages are sent and received fast and reliably. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Manage a team of software engineers, driving their technical development, career growth, and enhancing the collective engineering knowledge base across the team. Define the technical strategy and architecture for scalability and robustness to support a billion plus user base, primarily using Kotlin on the Android platform. Ensure reliability and performance (latency and quality) for core messaging functionality, including RCS, SMS, and MMS stacks, utilizing data-driven methods to address transport reliability issues. Provide technical leadership by contributing to design documents, projects, and leading code and design reviews to steer the team's direction and maintain high quality standards. Serve as a key cross-functional collaborator, partnering with multiple internal teams (e.g., Android platform) and external entities, including carriers and manufacturers, to integrate and advance core messaging technologies.

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree, or equivalent practical experience. * 8 years of experience in software development. * 3 years of experience in a technical leadership role; overseeing projects. * 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: * Master's degree or PhD in Computer Science or related technical field. * Experience with mobile application development or Android framework development. * Experience in programming with Kotlin. 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. As a part of the Core Messaging team within Google Messages, you will be responsible for the application architecture, business logic, and the transport layer of the application, ensuring among other responsibilities that messages are sent and received fast and reliably. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Manage a team of software engineers, driving their technical development, career growth, and enhancing the collective engineering knowledge base across the team. * Define the technical strategy and architecture for scalability and robustness to support a billion plus user base, primarily using Kotlin on the Android platform. * Ensure reliability and performance (latency and quality) for core messaging functionality, including RCS, SMS, and MMS stacks, utilizing data-driven methods to address transport reliability issues. * Provide technical leadership by contributing to design documents, projects, and leading code and design reviews to steer the team's direction and maintain high quality standards. * Serve as a key cross-functional collaborator, partnering with multiple internal teams (e.g., Android platform) and external entities, including carriers and manufacturers, to integrate and advance core messaging technologies.

_corporate_fare_ Google _place_ San Jose, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree, or equivalent practical experience. + 8 years of experience in software development. + 3 years of experience in a technical leadership role; overseeing projects. + 2 years of experience in a people management, supervision/team leadership role. **Preferred qualifications:** + Master's degree or PhD in Computer Science or related technical field. + Experience with mobile application development or Android framework development. + Experience in programming with Kotlin. **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. As a part of the Core Messaging team within Google Messages, you will be responsible for the application architecture, business logic, and the transport layer of the application, ensuring among other responsibilities that messages are sent and received fast and reliably. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Manage a team of software engineers, driving their technical development, career growth, and enhancing the collective engineering knowledge base across the team. + Define the technical strategy and architecture for scalability and robustness to support a billion plus user base, primarily using Kotlin on the Android platform. + Ensure reliability and performance (latency and quality) for core messaging functionality, including RCS, SMS, and MMS stacks, utilizing data-driven methods to address transport reliability issues. + Provide technical leadership by contributing to design documents, projects, and leading code and design reviews to steer the team's direction and maintain high quality standards. + Serve as a key cross-functional collaborator, partnering with multiple internal teams (e.g., Android platform) and external entities, including carriers and manufacturers, to integrate and advance core messaging technologies. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 7 years of experience drafting or enforcing policy for an online platform or engagement with public policy issues. * 1 year of experience in people management, leading a team. * Experience working with global teams and communicating with stakeholders cross-functionally. Preferred qualifications: * Ability to succeed in a changing environment. * Ability to deliver results by managing a team. * Excellent problem-solving skills with attention to detail. * Excellent written, presentation, and verbal communication skills. About the job Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Trust and Safety Policy Manager, you are a skilled and experienced manager, adept at context, and someone who naturally rallies colleagues around shared goals. You will manage a team of policy leads working on various content moderation issues facing the video platform today. You will act as a "player/motivator" on the team, both leading your team and driving policy initiatives. As a part of the policy team, you will cover a wide variety of topics, and this role will contribute across multiple areas and will sometimes involve reviewing graphic, controversial, or offensive video content in line with YouTube's Community Guidelines and our policies for the YouTube Partner Program.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $159,000-$236,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Manage a team of policy leads working on multiple controversial content areas, helping to ensure the team sets clear priorities, manages its time effectively, and develops clear and compelling policy proposals for executive audiences. * Be an expert in all of the policy areas under your supervision so that you can support your team members and guide efficient and effective policy development efforts. * Build and strengthen partnerships with cross-functional groups including public policy, Public Relations (PR), legal, and product.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience drafting or enforcing policy for an online platform or engagement with public policy issues. 1 year of experience in people management, leading a team. Experience working with global teams and communicating with stakeholders cross-functionally. Preferred qualifications: Ability to succeed in a changing environment. Ability to deliver results by managing a team. Excellent problem-solving skills with attention to detail. Excellent written, presentation, and verbal communication skills. About the job Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Trust and Safety Policy Manager, you are a skilled and experienced manager, adept at context, and someone who naturally rallies colleagues around shared goals. You will manage a team of policy leads working on various content moderation issues facing the video platform today. You will act as a “player/motivator” on the team, both leading your team and driving policy initiatives. As a part of the policy team, you will cover a wide variety of topics, and this role will contribute across multiple areas and will sometimes involve reviewing graphic, controversial, or offensive video content in line with YouTube's Community Guidelines and our policies for the YouTube Partner Program.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $159,000-$236,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Manage a team of policy leads working on multiple controversial content areas, helping to ensure the team sets clear priorities, manages its time effectively, and develops clear and compelling policy proposals for executive audiences. Be an expert in all of the policy areas under your supervision so that you can support your team members and guide efficient and effective policy development efforts. Build and strengthen partnerships with cross-functional groups including public policy, Public Relations (PR), legal, and product.

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. * 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. * 3 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership). Preferred qualifications: * Advanced degree in a quantitative field such as: Statistics, Computer Science, Engineering, Mathematics, Economics, or Physics. * 10 years of experience with statistical data analysis (data mining and data querying, ), modeling, experimentation, and managing analytical projects. * 7 years of experience with statistical data analysis, modeling, experimentation, and causal inference to solve product and business problems. * 5 years of experience in developing and managing metrics or evaluating programs/products. * Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management). * Excellent programming skills in SQL, Python or R. About the job The AIM Data Science team provides quantitative support, market understanding and a perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team. Our success is measured by our ability to help partners make better, faster decisions. We prioritize insights over purely academic analyses. We focus on the most critical business issues, particularly engaged positioning and product features to drive the most significant impact. We aim to scale our impact by empowering partners with the tools they need to answer their own questions through clean datasets, automated dashboards, and clear documentation. We are responsible for translating data into clear business logic. We invest in data infrastructure, documentation, and metric definitions to ensure consistency and reliability. As a Data Engineering Manager for Analytics, Insights and Measurement (AIM) and Enterprise Platform, you will help drive the goal of how large advertisers buy Google and third-party advertising inventory efficiently. You will be responsible for setting the team's direction, managing stakeholder relationships.The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Align executive cross-functional Ads stakeholders on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives. * Provide thought leadership to executive leadership through proactive contributions; consistently using insights and analytics to drive decisions and alignment throughout the product organization. * Define and report key performance indicators and launch impact as part of regular business reviews and contribute to metric-backed annual quarterly objectives and key results (OKR) setting. * Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful features. * Anticipate and address issues as a trusted authority and critical domain expert. Conducting end-to-end problem-solving, including analysis and business cases.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. 3 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership). Preferred qualifications: Advanced degree in a quantitative field such as: Statistics, Computer Science, Engineering, Mathematics, Economics, or Physics. 10 years of experience with statistical data analysis (data mining and data querying, ), modeling, experimentation, and managing analytical projects. 7 years of experience with statistical data analysis, modeling, experimentation, and causal inference to solve product and business problems. 5 years of experience in developing and managing metrics or evaluating programs/products. Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management). Excellent programming skills in SQL, Python or R. About the job The AIM Data Science team provides quantitative support, market understanding and a perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team. Our success is measured by our ability to help partners make better, faster decisions. We prioritize insights over purely academic analyses. We focus on the most critical business issues, particularly engaged positioning and product features to drive the most significant impact. We aim to scale our impact by empowering partners with the tools they need to answer their own questions through clean datasets, automated dashboards, and clear documentation. We are responsible for translating data into clear business logic. We invest in data infrastructure, documentation, and metric definitions to ensure consistency and reliability. As a Data Engineering Manager for Analytics, Insights and Measurement (AIM) and Enterprise Platform, you will help drive the goal of how large advertisers buy Google and third-party advertising inventory efficiently. You will be responsible for setting the team's direction, managing stakeholder relationships.The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Align executive cross-functional Ads stakeholders on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives. Provide thought leadership to executive leadership through proactive contributions; consistently using insights and analytics to drive decisions and alignment throughout the product organization. Define and report key performance indicators and launch impact as part of regular business reviews and contribute to metric-backed annual quarterly objectives and key results (OKR) setting. Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful features. Anticipate and address issues as a trusted authority and critical domain expert. Conducting end-to-end problem-solving, including analysis and business cases.

Snapshot Bring groundbreaking AI capabilities to life in the Gemini App. Join Google DeepMind'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 DeepMind, 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 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.

Snapshot We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google's generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams. About us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, 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 This role requires a strong machine learning foundation and a passion for building and iterating on software products. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up. Key responsibilities + Lead a team in the design and development of scalable software applications leveraging generative AI models. + Guide the team in rapidly developing new features and iterating based on evaluation results. + Collaborate with researchers and product managers to translate research advancements into tangible product features. + Oversee the optimization of software performance and ensure the reliability of deployed applications. + Champion the development of best practices for building and deploying generative AI applications. + Lead the architecture and development of new products & features from 0 to 1. + Mentor and develop team members, fostering a collaborative and high-performing environment. + Partner with PM team to qualify & size new project opportunities. About you In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience: Required Skills + Bachelor's degree or equivalent practical experience. + 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). + 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. + 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. + 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). + Proven experience managing software engineering teams. + Strong software engineering skills; proficiency in Python. + Proven experience in developing and shipping software products rapidly. + Experience evaluating model performance, analyzing results, and implementing improvements. + Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure). + Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. + Ability to work in a fast-paced environment and adapt to changing priorities. + Excellent communication, collaboration, and leadership skills. Preferred Skills + Experience with generative AI research or applications. + Contributions to open-source projects. + Experience with front-end development. + Experience working in, or founding early-stage startups. + Experience delivering software solutions in a fast-paced, customer-facing environment. If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply! 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 DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities 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.

_corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. + 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. + 3 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership). **Preferred qualifications:** + Advanced degree in a quantitative field such as: Statistics, Computer Science, Engineering, Mathematics, Economics, or Physics. + 10 years of experience with statistical data analysis (data mining and data querying, ), modeling, experimentation, and managing analytical projects. + 7 years of experience with statistical data analysis, modeling, experimentation, and causal inference to solve product and business problems. + 5 years of experience in developing and managing metrics or evaluating programs/products. + Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management). + Excellent programming skills in SQL, Python or R. **About the job** The AIM Data Science team provides quantitative support, market understanding and a perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team. Our success is measured by our ability to help partners make better, faster decisions. We prioritize insights over purely academic analyses. We focus on the most critical business issues, particularly engaged positioning and product features to drive the most significant impact. We aim to scale our impact by empowering partners with the tools they need to answer their own questions through clean datasets, automated dashboards, and clear documentation. We are responsible for translating data into clear business logic. We invest in data infrastructure, documentation, and metric definitions to ensure consistency and reliability. As a Data Engineering Manager for Analytics, Insights and Measurement (AIM) and Enterprise Platform, you will help drive the goal of how large advertisers buy Google and third-party advertising inventory efficiently. You will be responsible for setting the team's direction, managing stakeholder relationships.The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Align executive cross-functional Ads stakeholders on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives. + Provide thought leadership to executive leadership through proactive contributions; consistently using insights and analytics to drive decisions and alignment throughout the product organization. + Define and report key performance indicators and launch impact as part of regular business reviews and contribute to metric-backed annual quarterly objectives and key results (OKR) setting. + Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful features. + Anticipate and address issues as a trusted authority and critical domain expert. Conducting end-to-end problem-solving, including analysis and business cases. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available Locations: Austin TX, Washington DC, Denver CO About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. About the Department The Growth Engineering team is responsible for building world-class experiences that help the millions of Cloudflare self-service customers get what they need faster, from acquisition and onboarding all the way through to adoption and scale up. Our team is focused on high velocity experimentation and thoughtful optimizations to that experience on Cloudflare's properties. This team has a dual mandate, also focusing on evolving our current marketing attribution, customer event ingress and experimentation capabilities that process billions of events across those properties to drive data-driven decision making. As the manager of the team responsible for Product Growth and Experimentation, your job will be to deliver on those growth-driven features and experiences while evolving our current marketing attribution, consumer event ingress and experimentation setup across these experiences, and partner with many teams on implementations, and make those capabilities more generally available across Cloudflare's customer-facing properties. About the Role The Experimentation and Data Capture Engineering Manager will be responsible for the following: Manage the engineering team and drive technical delivery for Experimentation and Product Growth capabilities intended for all of our customer-facing UI properties, driving user acquisition, engagement, and retention through data-driven strategies and technical implementations Lead the team who work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our customer tools and maximize their impact Executing as a ‘player-coach', spending at least 20% of your time delivering alongside the team Collaborate with product, design and stakeholders to establish outcome measurements, roadmaps and key deliverables Own and lead execution of engineering projects in the area of web data acquisition and experimentation Work across the entire product lifecycle from conceptualization through production Build features end-to-end: front-end, back-end, IaC, system design, debugging and testing, engaging with feature teams and data processing teams Inspire and mentor less experienced engineers Work closely with the trust and safety team to handle any compliance or data privacy-related matters Analytically driven to co-own and drive up product adoption KPIs We are also strong believers in dog-fooding our own products. From cache configuration to Cloudflare Access, Cloudflare Workers, and Zaraz, these are all tools in our engineer's tool belt, so it is a plus if you have been a customer of ours, even as a free user. Examples of desirable skills, knowledge and experience At least 6 years of relevant experience and at least 3 years of experience managing engineers is preferred Track record of shipping high-quality products and features at scale Specific experience with client-side consumer data capture platforms (Google Tag Manager, Adobe Launch, etc) ideal Familiarity with event driven architectures and high-scale data processing using open-source or commercial systems Experience with API tooling and standards (Swagger/OpenAPI, OAuth/JWT) Comfort with TypeScript/JavaScript in a full-stack context required, familiarity with other languages (Go/Rust/Python) a plus Familiarity with global data privacy requirements governed by laws like GDPR/CCPA/etc and how it affects data capture, modeling and analysis Experience with data lake/warehouse products like Clickhouse, Apache Iceberg, etc, and some familiarity with commercial analytics systems (Adobe Analytics, Google BigQuery, etc) Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Strong interpersonal and communication skills with a bias towards action Excellent problem-solving skills, and ability to work independently or as part of a team. Compensation Compensation may be adjusted depending on work location. For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $213,000 - $261,000 For Colorado based hires: Estimated annual salary of $191,000 - $233,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at ***************** or via mail at 101 Townsend St. San Francisco, CA 94107.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Mechanical, Industrial, Process, or Manufacturing Engineering or equivalent practical experience. + 10 years of experience with product development for mechanical assemblies. + 3 years of experience in a people management or team leadership role. **Preferred qualifications:** + Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. + 10 years of relevant process, design, or product development experience for mechanical assemblies. + Experience with machining, welding, brazing, soldering, sintering, stamping, skiving, assembly, die casting, injection molding, leak detection, test design and product testing, quality control, equipment and fixture design. + Experience in design, manufacturing, quality, or product engineering for hardware technology and systems. + Ability to resolve conflicts cross-functionally with internal/external partners. + Excellent problem-solving and organizational skills, and attention to detail, with the ability to deliver presentations to executive management. **About the job** Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Thermal Manufacturing Engineering team delivers cooling solutions for Google Cloud responsible for serving all of Google's functions and customers. Be part of a team that pushes boundaries, developing custom cooling solutions for the future of Google's Cloud computing and Machine Learning. As an Engineering Manager for thermal products, you will lead a team working on products representing cooling solutions for all of Google's compute hardware, including the largest liquid cooled compute fleet in the world serving all of Google's internal and external Cloud customers. Using a deep understanding of manufacturing processes such as machining, welding, brazing, stamping, assembly, and skiving, you will enable product design and development for next generation thermal solutions at scale. With a background in industrial engineering, you will not only help guide with the qualification of new processes and suppliers but you will also lead a team to optimize production processes, lines, and vendors to help build better supply chains. With an understanding of design methods, tools, and requirements, you will lead team efforts to provide Design for Excellence (DFx) feedback, tolerance stack analysis, and thermal design considerations to enable manufacturing, automation, and scalability. The US base salary range for this full-time position is $165,000-$245,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead a team of engineers responsible for developing manufacturing strategy, performing DFx, and driving implementation of manufacturing solutions for thermal assemblies. + Define the technical strategy and architecture for scalability and influence the supply chain selection for next generation hardware to support Google Cloud and Machine Learning. + Develop the mid-term technical goals within the scope of the team while evolving the roadmap to meet anticipated future requirements and infrastructure needs. + Provide technical leadership via engineering expertise in supplier selection, qualification, process and cost optimization, failure analysis and recovery, supplier scaling, and supplier management through new product lifecycle. + Lead continuous improvement initiatives to enhance manufacturing processes and product designs. Identify process, tooling, and automation opportunities to not only support high volume manufacturing but also to deliver increased product quality, reduced cost, and increased process repeatability. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Mechanical, Industrial, Process, or Manufacturing Engineering or equivalent practical experience. * 10 years of experience with product development for mechanical assemblies. * 3 years of experience in a people management or team leadership role. Preferred qualifications: * Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. * 10 years of relevant process, design, or product development experience for mechanical assemblies. * Experience with machining, welding, brazing, soldering, sintering, stamping, skiving, assembly, die casting, injection molding, leak detection, test design and product testing, quality control, equipment and fixture design. * Experience in design, manufacturing, quality, or product engineering for hardware technology and systems. * Ability to resolve conflicts cross-functionally with internal/external partners. * Excellent problem-solving and organizational skills, and attention to detail, with the ability to deliver presentations to executive management. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Thermal Manufacturing Engineering team delivers cooling solutions for Google Cloud responsible for serving all of Google's functions and customers. Be part of a team that pushes boundaries, developing custom cooling solutions for the future of Google's Cloud computing and Machine Learning. As an Engineering Manager for thermal products, you will lead a team working on products representing cooling solutions for all of Google's compute hardware, including the largest liquid cooled compute fleet in the world serving all of Google's internal and external Cloud customers. Using a deep understanding of manufacturing processes such as machining, welding, brazing, stamping, assembly, and skiving, you will enable product design and development for next generation thermal solutions at scale. With a background in industrial engineering, you will not only help guide with the qualification of new processes and suppliers but you will also lead a team to optimize production processes, lines, and vendors to help build better supply chains. With an understanding of design methods, tools, and requirements, you will lead team efforts to provide Design for Excellence (DFx) feedback, tolerance stack analysis, and thermal design considerations to enable manufacturing, automation, and scalability. The US base salary range for this full-time position is $165,000-$245,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead a team of engineers responsible for developing manufacturing strategy, performing DFx, and driving implementation of manufacturing solutions for thermal assemblies. * Define the technical strategy and architecture for scalability and influence the supply chain selection for next generation hardware to support Google Cloud and Machine Learning. * Develop the mid-term technical goals within the scope of the team while evolving the roadmap to meet anticipated future requirements and infrastructure needs. * Provide technical leadership via engineering expertise in supplier selection, qualification, process and cost optimization, failure analysis and recovery, supplier scaling, and supplier management through new product lifecycle. * Lead continuous improvement initiatives to enhance manufacturing processes and product designs. Identify process, tooling, and automation opportunities to not only support high volume manufacturing but also to deliver increased product quality, reduced cost, and increased process repeatability.