Solutions Product Delivery Intern
Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
As a Solutions Product Delivery Intern, your role will be to support the scoping, developing, and releasing process of packaged solutions across multiple industries with a focus on improving the delivery process and guaranteeing the quality of all outputs. You will work closely with the industry leads and the Solution Data Scientists to support quality release content, and help reinforce the delivery of Dataiku Solutions. You will also play a key role in fueling our roadmap planification efforts and monitoring.
What you’ll do:
Participate in and support the project management of Solutions through the development process.
Be involved in and understand the pre-development writing of user stories and alignment on MVPs.
Review technical documentation pertaining to the initial scoping of a solution all the way to pre-release documentation.
Reinforce the quality assessment and test framework for Dataiku Solutions to be used in production, as well as drive tests directly as required.
Define and track key metrics for the success of solutions.
Manage the operational execution of the defined roadmap to match the release schedule.
Lead and organize the operation meetings for release planning & management.
Responsible for identifying and integrating relevant new core Product features into our line of AI Accelerators.
Who you are:
Masters degree, 6 months internship minimum.
English native speaker or fully fluent required - with proficient writing level
Experience with Python, Markdown, and Git
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 2 years of professional experience or academic exposure.
A degree in a related technical field is a plus (e.g. BA/BS/MS in Computer Science, Data Science, or Statistics…).
Open to new ideas and topics. Capable of acting quickly and delivering promptly.