Software Engineer of Enterprise Applications, Dataiku
Dataiku is The Universal AI Platform™.
Job no longer available
Dataiku is The Universal AI Platform™.
1001+ employees
Job no longer available
1001+ employees
Company mission
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Role
Who you are
- To be successful in this new role, you need a love for building with data and crafting intuitive experiences
- Experience as a software engineer in different stages of a team. Likely at least 5 - 7 years - but what matters is what you did, not how long it took you. You will need the ability to take an app from PoC to production, hacker to maintainer (and back)
- Considerable experience with modern reactive front-end frameworks like React or Vue.js
- Experience with robust back-ends, modern API design and implementation. Production-level Python is a big plus (FastAPI, Flask) - it is fine if you come from other RESTful frameworks, but the willingness and skills to switch and master is a must
Desirable
- Clear experience and stack fit Our apps are built on Vue.js against a Python back-end
- Experience in both startup- and enterprise settings. While Dataiku is young and growing fast, our customers have established processes and constraints you need to (be able to) understand
- Experience working on data-intensive applications and the unique challenges of making this work in a reactive setup - like modern web-based analytics products
- Self-starter, flexible and curious. One day you help out with technical discovery and discuss architecture, the other you are supporting a service engineer. Throughout you write and test code. That should suit and drive you
- Customer orientation. You understand a “product” is not the same as LoC or stack choices, and like to dive deep on what customers are trying to achieve to help solve their problems
What the job involves
- We build for expert users that need to interact with large and complicated datasets to extract (new) insights and improve their processes
- Although the Dataiku back-end can do a lot of the heavy lifting in data infrastructure, it is up to us to bring that data alive in the browser
- Our goal is to empower our users to work with large data sets and quickly and intuitively extract the insights they are looking for
- As an example of your work, we’d be proud IF your first year at Dataiku includes these achievements:
- You built and helped launch new applications, made major improvements (feature to architecture) to existing ones (this is your most important responsibility)
- You designed and delivered important improvements to how we manage and service our applications
- You experimented with (new) technologies to find the best fit for requirements and technology choices, turned the insights into deliverables
- You helped to grow our team (selection, interviews, onboarding, mentorship)
- You brought your authentic self and sense of humor to work (“fun” is a KPI!)
Application process
- Initial call with a member of our Technical Recruiting team
- Video call with Director Enterprise Applications and Software Engineer
- Technical Assessment to show your skills (Home Test)
- Debrief of your Tech Assessment with Team
- Final Interview with VP Business Solutions #LI-Hybrid
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
Lyanna, Data Scientist
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $847.7m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Diversity, Equity & Inclusion at Dataiku
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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