Field Product Manager, Dataiku
$185-255k
+ Stock options
More information about location
Collaborative data science platform
Open for applications
Collaborative data science platform
1001+ employees
Open for applications
$185-255k
+ Stock options
More information about location
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- This role is ideal for a professional with strong communication and presentation skills who is passionate about creating great customer experiences and influencing product development based on real-world feedback
- You have 3-5 years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
- Understand the challenges and needs to design, build and operate a wide spectrum of analytics solutions (including advanced analytics, predictive analytics, ML-based GenAI-powered applications)
- Ability to engage with business leaders and influence decisions without formal authority
- Great communication skills (both written and oral), ability to clearly articulate and present complex situations and concepts. English native speaker or fully fluent required - with proficient writing level
- Demonstrated project management skills, capable of orchestrating multiple projects and supporting several teams in parallel and across time zones
- Deep interest in turning data, analytics and artificial intelligence technologies to value
What the job involves
- You will play a pivotal role in shaping Dataiku's product positioning, roadmap and requirements, under the responsibilities of a Director of Product Management in charge of one of the Dataiku offerings
- You will act as the bridge between the field (Dataiku’s customers and the GTM team) and the internal product engineering team, ensuring that customer needs and market demands are effectively communicated and incorporated into the product roadmap
- Engage with customers to extract valuable insights about their business challenges and the utility of our products in addressing these issues
- Deliver engaging product presentations to customers, showcasing new features, updates, and future product directions
- Tailor presentations to different customer segments and levels of technical knowledge
- Actively engage with customers to gather their feedback, concerns, and suggestions during presentations and follow-up discussions
- Use surveys, Q&A sessions, and other feedback tools to ensure a comprehensive understanding of customer needs
- Analyze market forces, engage with industry analysts and Dataiku expert teams to execute on Dataiku’s product strategy, and collaborate with the Product Marketing team to align and deliver on product positioning messages
- Stay up-to-date with industry trends and customer needs to ensure the product remains competitive and aligned with market demands
- Regularly assess the effectiveness of product presentations and customer engagement strategies
- Work closely with the GTM teams and the Product Managers on your team to position the capabilities the product engineering team delivers, and ensure a product-market fit
- Act as a liaison between customers and internal teams, ensuring that customer feedback, insights, pain points, and improvement suggestions are accurately communicated and understood
- Work closely with sales, marketing, and support teams to ensure alignment on customer needs and product messaging
- Participate in the development, maintenance and education on Dataiku's roadmap. Articulate to stakeholders your team’s technology vision, requirements, goals and milestones
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
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $845.7m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from 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. Weʼve 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
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ 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
Flatiron District, New York, NY
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
Laurie du Boullay (Head of Culture)
- 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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