Dataiku · 2 days ago
Customer Success Engineer, Emerging Enterprise
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Responsibilities
Work closely with Dataiku’s customers in Emerging Enterprise, focusing on onboarding, increasing user adoption, retention, and satisfaction.
Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform.
Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers.
Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
Document and share the adoption status and key information to inform internal forecasting and renewal.
Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly.
When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution.
Stay current on Dataiku’s products, competitive landscape, and data science trends.
Willingness to travel up to 25%
Qualification
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Required
Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
Minimum of two years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
Strong technical, analytical, and problem-solving skills.
Experience in building and operating communities of practice.
Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users.
Willingness to travel up to 25%
Preferred
Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
Never-ending intellectual curiosity, are detail-oriented, and analytical.
Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL.
Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
Experience in Analytics/AI or other enterprise software (preferred but not required).
Experience in technical pre-sales or post-sales, preferably in a high-growth environment (preferred but not required).
Benefits
Stock options
Medical, dental, and vision plans
Flexible spending accounts
Pre-tax commuter benefits
A 401k company match
Paid vacations and sick leave
Paid parental leave
Employer paid disability coverage
Additional health and wellbeing perks and benefits
Company
Dataiku
Dataiku operates as an enterprise artificial intelligence and machine-learning platform.
H1B Sponsorship
Dataiku has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (2)
2021 (5)
Funding
Current Stage
Late StageTotal Funding
$846.84MKey Investors
Wellington ManagementTiger Global ManagementSnowflake Ventures
2022-12-12Series F· $200M
2021-08-05Series E· $400M
2021-04-20Series Unknown· Undisclosed
Recent News
Computer Weekly
2024-06-05
Company data provided by crunchbase