Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 46 minutes ago

Senior Quantitative UX Researcher, Merchant Shopping

Google3,070 open roles

Where
Zürich, Switzerland; London, UK
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Quantitative UX Researcher, Merchant ShoppingGoogle · Zürich, Switzerland; London, UK

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 30 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 46 minutes ago

Google median: 30 days open

The posting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; London, UK.

Minimum qualifications:

  • Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
  • 6 years of experience in an applied research setting, or similar.
  • Experience cleaning, joining, and analyzing datasets with various types of data, logs, and surveys.
  • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB etc.).
  • Experience in artificial intelligence, Machine Learning (ML) models, ML infrastructure, natural language processing or deep learning.

Preferred qualifications:

  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related fields.
  • 1 year of experience using AI technology in data analysis (e.g., synthetic data injection, golden set development, prompt engineering, or LLM foundations/harnesses).
  • Experience leveraging a range of qualitative and quantitative research methods and analysis techniques in various disciplinary environments.
  • Ability to participate in technical discussions.

About the job

At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products.

You’ll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools.

User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”

Responsibilities

  • Contribute significantly to our quantitative User Experience Researcher (UXR) program in alignment with business priorities with a focus on developing AI-integrated workflows for UXers, substantively understanding user behaviors across a large spectrum of merchants from SMBs to large retailers across a wide variety of surfaces.
  • Influence product strategy and user experience through sound data-driven recommendations within compelling data visualizations and narratives that can travel widely across the organization.
  • Drive understanding of merchant users and their needs at scale by leveraging existing work from the UXR team and through new initiatives and program ownership.
  • Develop metrics and lead the measurement of the user experience in our products in collaboration with data science.
  • Contribute to our Quantitative UXR team learning and helping elevate the quantitative research craft across the broader team of UXRs.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.