Product Deployment Engineer, gTech Ads, Search

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Remove boilerplate, EEO, etc. Must preserve all substantive info. Let's parse the posting. Content: - Location note: "This role may also be located in our Playa Vista, CA campus." Also location options list: New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA. Also mention Fair Chance Ordinance for LA County, San Francisco. That's location info; maybe we can put under a short paragraph (maybe not a heading). The instructions: "Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it." So location info can be a short paragraph. - Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). - Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. Experience in an online advertising/customer growth role and familiarity with the ad serving industry and internet technologies. Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4), or Google Cloud services. Expertise in Search+ Demonstrated coding ability with Java or Python, and database knowledge with the ability to construct complex SQL queries. - About The Job: long paragraph describing gTech Ads, PDE Team, etc. - Pay: "Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits" - Responsibilities: list bullet points (starting with "Partner with regional product leads..."). - Benefits: mention "Learn more about benefits at Google ." Not specific benefits listed. The instruction: never create Benefits section unless posting actually states them. It only says "Learn more about benefits at Google." That's not specific benefits. So we should not create a Benefits section. - Schedule: not mentioned. So no Schedule section. - Skills: maybe we can extract from qualifications? But we have Requirements and Qualifications sections. The instruction: Use headings for Requirements, Qualifications, Skills, etc. We need to decide what to put where. Usually Requirements = minimum qualifications, Qualifications = preferred qualifications, Skills maybe from expertise. But we can combine. We must not create sections with filler. So we need to include sections that have real content. Potential sections: - About the role (the "About The Job" paragraph). That's substantive. - Responsibilities (list). - Requirements (minimum qualifications). - Qualifications (preferred qualifications). - Skills (maybe we can extract "Expertise in Search+ Demonstrated coding ability with Java or Python, and database knowledge with the ability to construct complex SQL queries." plus other technical skills. Could be a Skills section. - Pay (salary range and bonus etc). We should not include Benefits or Schedule. We also need to include location info maybe as a short paragraph before sections. We must not include EEO etc. Let's extract details precisely. Location paragraph: "This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA." We can condense but must preserve all substantive info. Could keep as is but maybe remove redundant? It's okay to keep. Now Responsibilities list: Let's extract bullet points: - Partner with regional product leads, Sales, and gTech Engagement Managers to assess customer marketing objectives, technical maturity, infrastructure, and first-party data management strategies. - Lead deep-dive technical consultations and martech diagnostic sessions to uncover opportunities for custom solutions, ensuring designs respect industry-specific data constraints and business cycles. - Translate complex customer requirements into clear system architectures and technical specifications that prioritize scalability, reusability, and media activation. - Lead technical hand-overs to the engineering team by authoring high-quality, prototype-grounded Business/Product Requirement Documents aligned with the product roadmap. - Serve as the strategic entry gatekeeper to the Engineering CoE. - Act as a trusted advisor providing technical-product oversight during implementation, ensuring the engineering build aligns with customer strategy while deferring base-code decisions to Engineering. - Partner with gTech teams and customer technical teams to drive last-mile delivery, enablement, and seamless deployment outcomes. That's 7 bullets. Now Requirements (minimum qualifications): - Bachelor’s degree or equivalent practical experience. - 5 years of experience troubleshooting technical issues for internal/external partners or customers. - Experience in either system design or reading code (e.g., Java, C++, Python). Now Qualifications (preferred qualifications): - Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. - Experience in an online advertising/customer growth role and familiarity with the ad serving industry and internet technologies. - Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4), or Google Cloud services. - Expertise in Search+ Demonstrated coding ability with Java or Python, and database knowledge with the ability to construct complex SQL queries. Note: The last bullet seems to combine expertise and coding ability. We'll keep as one bullet. Now Skills: Could extract from the qualifications and responsibilities: maybe list technical skills: Java, C++, Python, SQL, Google Ads, SA360, DV360, GA4, Google Cloud, system design, troubleshooting, etc. But we must not invent. We could create a Skills section that lists the specific skills mentioned: Java, C++, Python, SQL, Google Ads, SA360, DV360, GA4, Google Cloud, system design, troubleshooting technical issues, online advertising/customer growth, ad serving industry, internet technologies, Search+. However, that might be considered summarizing but still preserving info. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." Summarizing into a list might be okay if we just list the items that were mentioned. Not adding new. So we can create a Skills section with bullet list of those technologies. But we already have Requirements and Qualifications sections covering many of those. Having a separate Skills section might be redundant but allowed if we have real content. However we should prefer few substantive sections over many thin ones. Maybe we can omit Skills and incorporate into Qualifications. But we already have Qualifications as preferred qualifications. The Skills could be derived from both minimum and preferred. Might be thin. Given we have Requirements and Qualifications, plus About the role, Responsibilities, Pay. That's 5 sections. That's decent. We should not create Benefits or Schedule. Now Pay: we have sentence: "Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits". We'll put that in a Pay section. Now we need to output HTML fragment only, with

headings and

• for lists,

  for prose. We must not include any extra markup like or . Also no markdown fences. Let's construct:

  Location paragraph...

  About the role

  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. The Product Deployment Engineering (PDE) Team for Search+, gTech Ads AMER LCS, provides complex search consulting and implementation for Google’s top enterprise advertising clients. The core objective of the team is to unlock Search+ revenue by helping customers get the most out of their data across Google Ads, SA360, and Shopping. This most commonly looks like integrating customer data for the purposes of value-based bidding, inventory bidding, or third party attribution, as well prototyping and last-mile deployment of technical solutions that deliver insights, automation, etc. 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 .

  But note there is a stray period after video. We'll keep as is. Now Responsibilities:

  Responsibilities

  • Partner with regional product leads, Sales, and gTech Engagement Managers to assess customer marketing objectives, technical maturity, infrastructure, and first-party data management strategies.
  • Lead deep-dive technical consultations and martech diagnostic sessions to uncover opportunities for custom solutions, ensuring designs respect industry-specific data constraints and business cycles.
  • Translate complex customer requirements into clear system architectures and technical specifications that prioritize scalability, reusability, and media activation.
  • Lead technical hand-overs to the engineering team by authoring high-quality, prototype-grounded Business/Product Requirement Documents aligned with the product roadmap.
  • Serve as the strategic entry gatekeeper to the Engineering CoE.
  • Act as a trusted advisor providing technical-product oversight during implementation, ensuring the engineering build aligns with customer strategy while deferring base-code decisions to Engineering.
  • Partner with gTech teams and customer technical teams to drive last-mile delivery, enablement, and seamless deployment outcomes.
  Now Requirements:

  Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience troubleshooting technical issues for internal/external partners or customers.
  • Experience in either system design or reading code (e.g., Java, C++, Python).
  Now Qualifications:

  Qualifications

  • Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
  • Experience in an online advertising/customer growth role and familiarity with the ad serving industry and internet technologies.
  • Experience working with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4