GoodData_
As of 4 November 2026, GoodData has 5 open roles (1 new in 30 days), its data & ai team is hiring most, and its postings name Python, SQL and Kubernetes as the tools the team works in.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- San Francisco, California, United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- e-commerce and retail, customer services, hospitality
- Certifications on site
- HIPAA, ISO 27001, SOC 2
- Site languages
- EN, DE
- Career system
- Ashby
GoodData in one screen
Read from gooddata.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
GoodData is a SaaS analytics and business intelligence platform that provides AI-enabled, agentic, and embedded decision-making with a governed semantic foundation. Its offerings include AI-powered BI, agent libraries and an AI assistant, agent builder, AI automation, analytics lake, headless BI, and query acceleration. It targets industries such as e-commerce, customer services, hospitality, ESG, healthcare, finance, insurance, supply chain, HR, sales, and banking.
Named on the site: e-commerce and retail, customer services, hospitality, esg and professional services, healthcare, finance, insurance, supply chain, hr, sales, banking, healthcare and finance.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 589 scored.
What GoodData says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Our backend is primarily developed in Python (with types) and Kotlin, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing.• Developing algorithms for parsing and transpiling into SQL from an internal query language (MAQL) based on semantic data models.• We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing• We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing• Our backend is primarily developed in Python (with types) and Kotlin, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing.• We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing• We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing• We deploy on Kubernetes, leveraging technologies like Apache Calcite, DuckDB, Pandas, and Polars for high-performance data processingWe also recently started adopting more and more of Rust in performance-critical parts of our services.• Hands-on experience with AWS data architecture, including S3, Iceberg, Glue, Athena etc.• Solid grounding in analytics and data: SQL, dimensional modeling, semantic layers, and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Postgres).• Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.• Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.• Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.Vendors whose code loads on gooddata.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
5 open roles, 5 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 2 · 0 |
| Software engineering | 2 · 0 |
| Sales | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add GoodData to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like GoodData
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 589 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
GoodData (San Francisco, United States, 201-500 employees) has 5 open roles, 1 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/gooddata.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from gooddata.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
GoodData: questions
Does GoodData use Python?
Yes, by the company's own words: 5 postings name it, first seen 2026-09-25, in the data & ai team.
Is GoodData hiring?
5 open roles as of 4 November 2026, 1 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From gooddata.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at GoodData?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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