At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Dataiku is looking for a Technical Product Manager (TPM) to support the evolution of its Data Science Platform. The position is available in France, United Kingdom, Germany, or the Netherlands.
In this role, the TPM is responsible for the definition of user stories in alignment with market requirements, the prioritized product backlog and coordinating features delivery.
The role requires a good balance of technical skills and business acumen in order to represent the Dataiku customers within engineering.
Dataiku is a young company with great momentum and at this early stage, the TPM will work cross-functionally with Product Management, Data Science, Engineering, and Marketing. We’re looking for someone who can express passion for the new technologies and possibilities of Big Data and Advanced Analytics.
In this role, you will report directly to the VP Engineering.
What you’ll do:
- Be the undisputed expert on product capabilities for your product area
- Collaborate closely with the product management team to build the backlog and prioritize the next features
- Own the product backlog. Defining and prioritizing the backlog with product stakeholders and engineering leaders.
- Define user stories and specifications
- Create internal documentation about the new features: feature deck, internal demo videos…
- Follow up on the development of the features
- Participate in building the roadmap
- Collaborate with the Product Marketing team to create the content about new features.
Who you are:
- 6 years of related work experience in software engineering teams either as an engineer or product / project owner.
- Strong interest in Data and Machine Learning
- BA/BS in Computer Science, Data Science or related technical field or equivalent.
- Proven ability to influence cross-functional teams without formal authority.
- Experience developing professional products and technologies.
Bonus points:
- MS, MBA or PhD in Computer Science, Data Science, Statistics or related technical field or equivalent.
- 2 years experience with Data and Machine Learning or Experience with product management or product design with a focus on software products and technologies.
- Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment.
- Knowledge of multiple functional areas such as product management, engineering, UI, sales, customer support, finance or marketing.
- Excellent problem-solving, organizational and analytical skills.
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our
Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]
