Product Manager Intern, Dataiku
1-5 days a week in office
Collaborative data science platform
Job no longer available
Collaborative data science platform
1001+ employees
Job no longer available
1-5 days a week in office
1001+ employees
Company mission
Dataiku enables data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.
Role
Who you are
- This internship is designed for individuals passionate about the intersections of technology, business, and user experience
- Masters degree,
- 5-6 months internship minimum
- English native speaker or fully fluent required - with proficient writing level
- Great communication skills (both written and oral), able to clearly articulate and present complex situations and concepts
- Great project management skills, capable of orchestrating multiple projects and supporting teams in parallel
- Proven ability to influence cross-functional teams without formal authority
- Deep interest in data, analytics and artificial intelligence ideally prior experience or academic exposure
- A degree in a related technical field is a plus (e.g. BA/BS/MS in Computer Science, Data Science, Statistics…)
- Able to work with diverse teams and in engaging people
- Open to new ideas and topics. Capable of acting quickly and delivering promptly
- If you are passionate about technology and want to learn and contribute to a fast-growing company, we encourage you to apply for this internship opportunity. #LI-
What the job involves
- As a Product Manager Intern, you will have the unique opportunity to work closely with our product management team to gain hands-on experience in developing and enhancing cutting-edge products
- Conduct comprehensive market research to identify emerging trends, shifts in the competitive landscape, and potential opportunities for Dataiku
- Collect and analyse user feedback to gain insight into user needs and preferences
- Utilize analytical tools to interpret usage data and make data-driven recommendations for product improvement
- Assist in the product development lifecycle, collaborating with cross-functional teams including design, engineering, and product marketing to ensure timely and successful product launches and updates
- Contribute to the development and maintenance of product documentation and materials
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: $846.1m
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.
Salary benchmarks
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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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