Product Design Intern
About the job
- Pursuing a degree in design, human-computer interaction, or a related field, with an expected graduation date of December 2027 or Spring 2028.
- Have interaction design skills and knowledge of user-centered design methodologies and usability.
- Be able to efficiently build interactive prototypes using AI tooling.
- Use analytical skills to make data-driven decisions, including analyzing product usage, and conduct basic usability testing and semi-structured interviews.
- Communicate and tell stories effectively in written and verbal form, making complex topics simple and clearly communicating nuance to partners such as engineers, customers, and field teams.
- Be excited to solve ambiguous problems with a collaborative team.
- Work with a cross-functional team to build features for the Databricks platform.
- Manage a project end-to-end, from discovery and ideation through a final design prototype for engineering to implement.
- Conduct research with customers to better understand their needs and improve the design.
About the company
Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
- Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
- Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.
What critics are saying
- Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
- A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
- Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.
What makes Databricks unique
- Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
- Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
- Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.
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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
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -1%Tel Aviv-based Seemore Data has launched early access to its cost optimisation platform for Databricks, targeting enterprises seeking to fund AI initiatives. The startup's context-aware control plane now covers Databricks SQL warehouses, Lakeflow jobs, all-purpose clusters, and AI services. The launch addresses growing demand for AI funding as Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026. According to IDC, 45% of companies plan to fund AI from existing software budgets. Seemore's platform provides full cost attribution across Databricks workloads and automatically optimises SQL warehouses within customer-set parameters. The company claims its Snowflake customers achieve an average 33% bill reduction and expects comparable results for Databricks users. The service requires only metadata-only access and does not access customer data. It is available for organisations running Databricks with Unity Catalog.
Databricks has acquired Seattle startup Row Zero, founded in 2021 by former Amazon Web Services engineers Breck Fresen and Nick End. Row Zero built enterprise spreadsheet software designed to process millions of rows at cloud scale without performance issues. The startup raised a $10 million Series A round last year. Row Zero's standalone product will remain available whilst the team integrates its engine across Databricks' platform, which serves over 20,000 organisations, including 70% of the Fortune 500. Fresen and End previously founded Shoefitr, which Amazon acquired in 2015. San Francisco-based Databricks recently crossed a $7 billion annualized revenue run-rate and raised a $5 billion funding round in August, reaching a $190 billion valuation.
Helix has partnered with Databricks to launch Helix Research Workspaces, a Trusted Research Environment for population-scale clinicogenomic research. The platform provides approved partners secure access to analysis tools and compute capabilities for more than 550,000 linked clinicogenomic records. Built on the Databricks Data + AI platform, Research Workspaces gives researchers access to GenoSphere clinicogenomic records, which combine genomic data with an average of over 13 years of electronic health records. The environment features population-scale genomic analysis tools, AI-assisted coding, collaborative workspaces, and integrated oversight capabilities. Helix found that researchers using Research Workspaces had lower compute costs compared to similar work on different platforms. The launch follows Helix's earlier release of Cohort Builder, which enables researchers to build targeted clinical and genomic cohorts.
Databricks is ramping up investment in Asia as the region becomes its fastest-growing market, with business more than doubling in the second quarter. The San Francisco-based analytics and AI software company, valued at $190 billion after an August funding round, plans to invest over $350 million in Singapore over three years and double its headcount there to more than 500 employees. The firm is investing over $1 billion across Asia-Pacific over the next three years, expanding from its current 1,500 regional employees. Databricks generated a $7 billion revenue run rate in August, up from $5.4 billion in February. The company recently launched Unity Gateway and Genie One, tools helping customers manage AI costs and automate tasks.
A new PitchBook report argues that Databricks' $190 billion valuation is too steep, estimating the company's actual operating value at around $68.7 billion — a 64% discount. Senior analyst Harrison Rolfes projected Databricks' revenue and cash flow over 10 years, forecasting the company will generate $9.3 billion annually by 2035. Even under the most optimistic scenario, assuming 80% gross margins and continued growth, the analysis values Databricks at only $182.1 billion. In August, Databricks raised $5 billion at the $190 billion valuation, led by Coatue. The company's annualised run rate increased 29.6% to $7 billion over six months. Databricks trades at 27 times its run rate, compared to competitor Snowflake's 20 times multiple. Whilst Databricks grows faster, Snowflake's audited figures provide more transparency than Databricks' self-reported numbers.