UX Researcher

What You’ll Do:

As a UX Researcher at CoreWeave, you will own the research function that helps product and design teams understand customers deeply and make better decisions. You will lead qualitative and quantitative research across the product lifecycle, from early problem framing through post-launch measurement, and bring the customer’s perspective into the room before direction is set. 

This role has real scope. You will own CoreWeave’s customer onboarding research and CSAT measurement program, manage an ongoing survey and feedback infrastructure, and build the dashboards that give product and design leadership visibility into how customers are experiencing the product over time. You’ll partner closely with Product, Design, and Customer Experience to ensure research is connected to the decisions that matter most. 

You will also support product analytics work: defining metrics, tracking adoption and retention signals, and helping teams understand what behavioral data is telling them. This is not a siloed data role. You will be the connective tissue between what customers say, what they do, and what the product should become. 

CoreWeave’s customers are technically sophisticated. They are ML engineers, AI researchers, platform teams, and enterprise AI organizations operating at scale. Understanding what they need, where they get stuck, and what earns their trust requires both rigor and genuine curiosity. You do not need to be an engineer, but you need to find these problems interesting. We’re also looking for a researcher who actively uses AI tools in their workflow today; not as a novelty, but as a meaningful part of how they synthesize faster, find patterns across large data sets, and ask better questions. 

Who You Are:

• 4+ years of experience in UX research, product research, or a related field, with a strong portfolio of work that connects research findings to product decisions. 
• Proficient across qualitative and quantitative methods: interviews, usability studies, surveys, journey mapping, and behavior analysis. You know when to run an interview, when to run a survey, and when the answer is already in the data. 
• Experience designing and managing longitudinal research programs, including survey design, CSAT or NPS measurement, and ongoing feedback loops. 
• Comfortable with product analytics and data tools. You can build and interpret dashboards, define metrics, and work with quantitative data to complement qualitative insight. 
• A strong communicator who can distill complex research into clear, actionable framing for product, design, and executive stakeholders.
• Comfortable with technical complexity and ambiguity. You help teams understand the problem before they research for a solution.
• Actively incorporates AI tools into your research workflow; using them to synthesize qualitative data at scale, surface patterns across large interview sets, accelerate analysis, and ask sharper questions faster. 

Preferred:

• Experience in B2B, infrastructure, developer tools, or enterprise platform contexts. Familiarity with the mental models of technical buyers and builders is a meaningful differentiator here. 
• Experience embedding research within product and design teams rather than operating as a centralized service. 
• Familiarity with survey and research tools such as Qualtrics, and product analytics platforms such as Mixpanel or Amplitude. Hands-on experience with either category is a plus. 
• Familiarity with cloud-native and ML infrastructure concepts. Kubernetes, containers, Slurm, object storage, networking, and GPU compute are part of our customers' daily vocabulary. You don't need deep expertise, but you should be able to hold a credible conversation with an ML engineer, understand where they get stuck, and know enough about training, inference, and model deployment to design research that meets them where they work.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• Care deeply about users: You are energized by talking to customers regularly and believe that understanding people is the highest-leverage thing a product team can invest in.
• Autonomous: You work well in a self-directed environment, proactively identify what needs to be known, and drive research programs forward without waiting to be asked.  
• Curious and driven: You are genuinely interested in AI infrastructure, how technical teams work, and what it takes to build products for sophisticated, demanding users.

Why Us?

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base pay for this position ranges from $165,000 to $242,000.  The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)