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Customer Success Engineer: Driving Data Analytics Excellence
2 weeks ago
Dataiku is a pioneering force in the AI revolution, leading the way with its platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries, we're the architects of Everyday AI, enabling data experts and domain specialists to work together to build AI into their daily operations. As a Customer Success Engineer within our Solutions Engineering team, you'll play a crucial role in helping Dataiku's customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
Salary and Benefits
The final compensation package for this role will be determined during the interview process and is based on factors such as geographic location, internal equity, education, skill set, experience, and training. Eligible roles may also receive commission or other variable compensation through Dataiku's incentive compensation program. We offer comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401(k) company match, paid vacations and sick leave, paid parental leave, employer-paid disability coverage, and additional health and wellbeing perks and benefits.
Job Description
As a Customer Success Engineer, your primary focus will be on delivering technical and consultative customer-facing services. You'll work closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. Your responsibilities will include:
Work closely with Dataiku's customers in the West, 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.
Required Skills and Qualifications
To succeed in this role, you'll need:
A 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.
Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred but not required.