Product Deployment Engineer Manager, Measurement and Data Science (English, German)

Preferred qualifications:

• 5 years of experience working with Google Ads technology (or comparable digital advertising platforms), or 5 years consulting in a technology-related field.
• Deep technical and commercial knowledge of the media and video advertising domain (ideally Measurement solutions and deployment tools).
• Demonstrated ability to navigate highly ambiguous situations, solve complex technical or business problems, and scale solutions effectively across a highly distributed, matrixed organization.
• Outstanding communication and storytelling skills, with a proven ability to adapt highly technical concepts to executive business audiences, sales leaders, and external clients.

About the job

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

As the PDE Manager, you serve as the leader, product advocate, and bridge between gTech Ads and Sales leadership.

You lead a team of highly specialized technical experts who critically assess customer maturity to graduate them along the adoption curve. You will partner closely with gTech Ads Managers and Sales Leads to accelerate the agenda for this area.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €184000 - €188000 (EUR) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Ensure gTech’s value proposition is integrated into our Large Customer Sales (LCS) product strategies, maintainING deep connectivity with LCS Product Specialist counterparts to align resources with sales objectives.
• Manage executive level stakeholder relationships and oversee operational success of gTech services within the product area.
• Participate in regional and global Measurement product communities to maintain a bi-directional information flow between global product teams and local market squads.
• Manage, mentor, and build a high-performing team of Product Deployment Engineers (PDEs) and Data Scientists, fostering an entrepreneurial team culture.
• Coordinate the delivery of technical implementations and advanced platform configurations to graduate advertisers along the product maturity curve.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung