DataStax – Fats, dynamic, incredible pace of applied learning - what we dove into to figure out rapidly turned into decisions and actions. | Comparably

DataStax – Fats, dynamic, incredible pace of applied learning - what we dove into to figure out rapidly turned into decisions and actions.

DataStax Заявленная компания
DataStax is the company that helps Developers and Companies successfully create a bold new world through GenAI. We offer a One-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps. DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice. With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, and many more rely on DataStax to deliver GenAI. читать еще
Эта компания принимает отзывы от проверенных сотрудников
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8427

Fats, dynamic, incredible pace of applied learning - what we dove into to figure out rapidly turned into decisions and actions.

В целом опишите ваш общий опыт в текущей компании

Fast paced, able to personally make and impact and contribute to the success of the company and my colleagues; always something new to learn.

Чем вы больше всего довольны в вашем пакете компенсаций?

Really strong commitment to really excellent no hassle healthcare coverage.

Каковы самые лучшие качества в вашей команде?

Curiosity and willingness to embrace uncertainty and find new ways forward in this changing environment.

Что приносит вам больше всего счастья/радости на работе?

I am fortunate to have the opportunity to dive in to "what's next" and "are we aligned to where the puck is going." It's always something new.

Что приносит вам больше всего счастья/радости на работе?

Distilling a lot of complexity and clearing a lot of ambiguity that empowers my colleagues to then focus and go do great things that help customers or move the market.

Чем вы больше всего довольны в вашем пакете компенсаций?

Every year the company pushes to make things better in large (e.g., 0 out of pocket healthcare) and small (e.g., fitness benefit) ways - on top of competitive comp you feel like HR & Finance are on your side and committed to innovating.

Что вам больше всего нравится в команде руководства?

There's a sense of mission & aspiration to big impact, but equally important belief that how you get there is clear choices & focus - not boiling the ocean or being all things to all people. It's the right recipe for excellence without burnout.

Что самое позитивное вы можете сказать о культуре и обстановке на вашей работе?

The open source database on which our company is built - Apache Cassandra - is best of breed. Its community and our customers can change their industries and the world. The best part of the culture is taking that seriously and wanting to make them into heroes.

Что вам больше всего нравится в команде руководства?

The leadership team was willing to make powerful choices, quickly, in order to focus. Trying to "do all the things" can bring in business in the short run but is not the path to big impact and differentiation. We're willing to commit to go big or go home.

Каковы самые лучшие качества в вашей команде?

There's a real commitment to not wasting time out of anyone's life. We want to focus on the work that matters most, and work in the ways - individually and collectively - that are most productive. When something feels off track from this we will work together to fix it.

Что самое позитивное вы можете сказать о культуре и обстановке на вашей работе?

Everyone who believes in the mission & practices our company principles at work should feel they are welcome here & it is a place where they can do their best work. Conversely: if neither of those things are true, we're OK with the fact it's not the best place for you to be for you or co workers.

Other Employee Reviews for DataStax

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