Back to jobs

Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth

Mountain View, CA

Pay
USD 207,000–300,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Read the full posting
Work setting
Not stated
Employment
Not stated
Apply at Google

What you’ll work on

Full posting
  • Architect and optimize low-latency distributed in-memory pipelines

  • Lead modeling for pricing elasticity, conversion value and profit models

  • Interface with Google Ads auction pipelines and bidding mechanics

  • Own technical oversight for Shopify and Google Channel integrations

  • Set design standards, drive code reviews and mentor engineers

From the employer’s posting
Architect and optimize distributed, high-performance in-memory pipeline processing
Lead modeling evolution for pricing elasticity, conversion value, and profit models
Interface with Google Ads auction pipelines, inference stacks, and bidding mechanics
Own technical oversight for first-party Google Channel integrations (e.g., Shopify Admin APIs, theme architectures, token workflows)
Set design standards, drive code reviews, mentor engineers
Education & alternatives
**Minimum qualifications:** + Bachelor’s degree or equivalent practical experience. + 8 years of experience in backend software development and system architecture.

Tools in this posting

  • C++
  • Java
  • SQL
Source — Tool mentions in context
+ 2 years of experience directly managing a team of software engineers, including performance evaluations, career growth, and project delivery. + Experience coding in C++ and Java. + Experience building, deploying, and maintaining large-scale machine learning models or high-throughput data pipelines in production.
+ Advanced SQL/big data analytics background with expertise in offline evaluation metrics and production A/B testing. + Deep expertise in C++ system optimization, distributed memory management, and high-throughput/low-latency batch and stream pipelines. **About the job**
+ Experience leading initiatives from early-stage to scale, standing up technical infrastructure from scratch, and collaborating cross-functionally. + Advanced SQL/big data analytics background with expertise in offline evaluation metrics and production A/B testing. + Deep expertise in C++ system optimization, distributed memory management, and high-throughput/low-latency batch and stream pipelines.

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 13, 2026 · 17 days ago
Recorded sightings
4
Last seen by us
Oct 31, 2026
Employer says posted
Sep 30, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on www.google.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth Share Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth _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. Share Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth _info_outline_ X In most instances, this position requires in-person interviews as part of the hiring process. **Minimum qualifications:** + Bachelor’s degree or equivalent practical experience. + 8 years of experience in backend software development and system architecture. + 2 years of experience directly managing a team of software engineers, including performance evaluations, career growth, and project delivery. + Experience coding in C++ and Java. + Experience building, deploying, and maintaining large-scale machine learning models or high-throughput data pipelines in production. **Preferred qualifications:** + Experience in Ads Bidding or Ads Quality architectures. + Experience developing simulation engines, pricing elasticity models, causal inference, or counterfactual decision-support systems. + Experience leading initiatives from early-stage to scale, standing up technical infrastructure from scratch, and collaborating cross-functionally. + Advanced SQL/big data analytics background with expertise in offline evaluation metrics and production A/B testing. + Deep expertise in C++ system optimization, distributed memory management, and high-throughput/low-latency batch and stream pipelines. **About the job** Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We guide merchants to success with tailored insights on demand, pricing, audience, and participants. Our team empowers merchants with data-grounded simulations and actionable intelligence, spanning real-time pricing elasticity to business-critical decision modeling, from simulating foot traffic impacts of new menu items to projecting ROI on extended store hours. Our infrastructure operates at hyper-scale, serving 5 trillion pricing inferences daily across in-memory distributed pipelines. As Tech Lead Manager, you'll lead a team building core pricing insights and a decision simulation engine that drives growth for businesses of all sizes, an early-stage project with broad future potential. People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Architect and optimize distributed, high-performance in-memory pipeline processing, maintaining a low-latency compute footprint. + Lead modeling evolution for pricing elasticity, conversion value, and profit models; expand architectures to support counterfactual business simulations for SMB decision-making. + Interface with Google Ads auction pipelines, inference stacks, and bidding mechanics to optimize pValue and ad rank. + Own technical oversight for first-party Google Channel integrations (e.g., Shopify Admin APIs, theme architectures, token workflows). + Set design standards, drive code reviews, mentor engineers, and lead the project from early stage to scale, driving long-term roadmap/OKRs, cross-functional partnership (Merchant Shopping, Research, Ads Bidding, gTech, Sales), and a strong culture of engineering excellence. 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

Mountain View, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

This passage needs a closer read in the full description.

Open source at www.google.com ↗

This posting reached us through a job exchange.

Read the full description ↓

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.