Full-Time

Sr. User Researcher

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

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

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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. Databricks aims to enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding, boosting AI product development.
  • The company plans global expansion, supported by strategic investors like Meta.
  • Increased demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake may impact Databricks' market share.
  • Rapid AI advancements could outpace Databricks' feature integration.
  • Potential overvaluation concerns with a $62 billion valuation may attract scrutiny.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks integrates seamlessly with various cloud services for enhanced data management.

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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