Full-Time

Sr. User Researcher

Updated on 3/13/2025

Databricks

Databricks

10,001+ employees

Unified data platform for analytics and AI

Compensation Overview

$110.3k - $195kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

San Francisco, CA, USA

Category
Data Science
Data & Analytics
Required Skills
Data Science
R
SQL
Machine Learning
Stata
Product Design
Requirements
  • Mixed methods researcher who can successfully design and implement user research programs and processes, but with an outsize emphasis on quantitative user research methodologies and projects
  • Expert knowledge of the key data team personas including machine learning engineers, data scientists and administrators
  • Expert understanding of software development practices and an ability to communicate with engineers and other stakeholders on deeply technical matters and nuances of the developer experience
  • Expert working knowledge of the product design process and how and when user research can add maximum value
  • Effective communication and presentation skills with a consistent track record of delivering concise, compelling deliverables to influence executive-level business decisions and strategies
  • Able to lead a team in customer-centered research methodologies and workshops
  • Experience coding with R, SQL, STATA, SPSS or equivalent
  • Experience with survey design and response effects, and applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
  • Advanced degree in human-computer interaction, psychology, cognitive science or related field
Responsibilities
  • Help build the infrastructure and operations needed to facilitate a successful user research program at Databricks
  • Break down strategic, ambiguous questions into a clear research roadmap; designing and leading projects from start to finish, ultimately delivering meaningful impact to Databricks’ product design and business strategy
  • Partner with other researchers and data scientists to triangulate insights and develop a holistic view of our customers, along with identifying new opportunities for Databricks to democratize data to everyone in an organization
  • Conduct multi-method research to inform and influence our business strategy, partnering closely across disciplines to identify opportunities and define success for Databricks make our products simpler for our customers
  • Deliver frequent and exceptionally high-quality research deliverables with proven impact on our product and business strategy
  • Champion user research holistically across Databricks and build internal partnerships that allow research to be integrated successfully within the organization
  • Contribute to a COE (Center of Excellence) model that allows for scalable adoption of product research practices - driven by your program and materials. You will create and publish a set of resources for Bricksters that provides tools, guidelines and best practices which will help to democratize user research methodologies across Databricks so that any Brickster working on our products will have guidance for how to engage in research with our customers

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • $15B funding supports AI product development and global expansion for Databricks.
  • BladeBridge acquisition strengthens Databricks' position in data warehouse migrations.
  • Rising demand for real-time analytics presents growth opportunities in finance and healthcare.

What critics are saying

  • $5.25B debt financing increases financial risk and pressure for rapid returns.
  • BladeBridge integration challenges may disrupt Databricks' data warehouse migration services.
  • Rapid expansion could strain resources, affecting service quality and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • Integration with OpenAI's GPT models enhances Databricks' natural language processing capabilities.
  • Collaboration with Meta on Llama boosts Databricks' open-source AI offerings.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

0%
TechNews
Mar 10th, 2025
Databricks AI Funding Surpasses $10B

According to PitchBook, AI investment has driven U.S. startup funding to its highest in three years, with over $30 billion raised this season and $50 billion ongoing. U.S. startups' Q4 2024 funding hit $80 billion, the highest since 2021. OpenAI is in talks with SoftBank to raise $40 billion at a $260 billion valuation, potentially the largest ever, surpassing Databricks' $10 billion. In 2024, U.S. AI startups raised a record $97 billion, 46.4% of total U.S. startup funding.

Intelligence360
Feb 10th, 2025
Databricks Secures $15B for AI Expansion

Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.

PR Newswire
Feb 4th, 2025
Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations

/PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered...

SiliconANGLE
Jan 24th, 2025
Databricks completes $10B funding round, raises $5.25B in debt

Databricks completes $10B funding round, raises $5.25B in debt - SiliconANGLE

Channel Life
Jan 23rd, 2025
Databricks secures USD $10bn funding, USD $5.25bn credit

Databricks has secured USD $10 billion in Series J funding and a USD $5.25 billion credit facility to enhance its AI capabilities and global reach.