Customer Success Engineer Jobs in USA with Visa Sponsorship
Customer Success Engineer roles sit at the intersection of technical expertise and client relationship management, making them strong candidates for H-1B visa and E-3 visa sponsorship. Most employers require a bachelor's degree in computer science, engineering, or a related technical field to qualify as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you'll help Dataiku's customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You'll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
HOW YOU'LL MAKE AN IMPACT
- Work closely with Dataiku's customers, 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%.
WHAT YOU'LL NEED TO BE SUCCESSFUL
- Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
- Minimum of four 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 (not required).
- Preferably located within the Northeast region of the United States.
WHAT WILL MAKE YOU STAND OUT
- Never-ending intellectual curiosity, 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).
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: reasonable-accommodations@dataiku.com
PROTECT YOURSELF FROM FRAUDULENT RECRUITMENT ACTIVITY
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
INTRODUCTION
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you'll help Dataiku's customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You'll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
HOW YOU'LL MAKE AN IMPACT
- Work closely with Dataiku's customers, 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%.
WHAT YOU'LL NEED TO BE SUCCESSFUL
- Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
- Minimum of four 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 (not required).
- Preferably located within the Northeast region of the United States.
WHAT WILL MAKE YOU STAND OUT
- Never-ending intellectual curiosity, 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).
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: reasonable-accommodations@dataiku.com
PROTECT YOURSELF FROM FRAUDULENT RECRUITMENT ACTIVITY
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
See all 1,593+ Customer Success Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Customer Success Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Customer Success Engineer
Frame your role as a specialty occupation
Customer Success Engineers need to emphasize the technical depth of their work during sponsorship. Highlight software integration, API troubleshooting, and systems architecture responsibilities that require a specific bachelor's degree, not general business or communication skills.
Target companies with established H-1B filing history
Enterprise SaaS companies like Salesforce, Workday, and ServiceNow file H-1B petitions for Customer Success Engineers regularly. Prioritizing employers with a documented sponsorship track record significantly reduces the risk of a first-time sponsor backing out mid-process.
Clarify degree relevance before applying
USCIS scrutinizes Customer Success Engineer roles more than pure engineering roles. A computer science or information systems degree strengthens your case considerably. Degrees in unrelated fields may require a credentials evaluation to establish equivalency for specialty occupation purposes.
Raise sponsorship in the second interview, not the first
Bringing up visa sponsorship too early can cause employers to screen you out before evaluating your technical skills. Wait until there is clear mutual interest, typically after a technical screen or second conversation, before discussing H-1B or E-3 visa requirements.
Use your technical skills to lead every conversation
Customer Success Engineers who can demonstrate hands-on expertise with APIs, data pipelines, or enterprise software implementations make the sponsorship conversation easier. Employers who see clear technical value are far more willing to navigate the visa process with you.
Browse Migrate Mate for roles open to visa sponsorship
Not every Customer Success Engineer listing accepts visa sponsorship, and filtering manually is time-consuming. Migrate Mate surfaces roles specifically open to international candidates, saving you from applying to positions where sponsorship was never an option.
Frequently Asked Questions
Does a Customer Success Engineer role qualify as a specialty occupation for H-1B purposes?
It can, but it requires careful documentation. USCIS expects the role to require a specific bachelor's degree in a technical field like computer science, software engineering, or information systems. Roles that blend account management with light technical support face higher scrutiny than those centered on implementation, integrations, or systems architecture. A strong job description and degree match significantly improve approval odds.
What degree do I need to get H-1B sponsorship as a Customer Success Engineer?
A bachelor's degree in computer science, information systems, electrical engineering, or a closely related technical field is the strongest foundation. Degrees in business, communications, or non-technical fields make it harder to establish specialty occupation status, even if you have years of relevant experience. Some employers will support a credential evaluation if your degree is from outside the U.S. or is in a borderline field.
How likely is it that a company will sponsor a Customer Success Engineer on an H-1B?
Mid-size to large SaaS and enterprise technology companies sponsor Customer Success Engineers on H-1B visas with reasonable frequency, particularly when the role involves deep technical implementation work. Smaller startups are less predictable, as the cost and administrative burden of sponsorship can be a barrier. Your odds improve substantially when you target companies that already have a pattern of H-1B filings in this job category.
Can I find Customer Success Engineer jobs that are open to visa sponsorship without applying blindly?
Yes. Migrate Mate is built specifically for this, listing Customer Success Engineer roles where employers have indicated openness to sponsoring international candidates. Applying through a platform focused on visa-friendly employers saves significant time and avoids the frustration of progressing through multiple interview rounds only to discover sponsorship was never on the table.
If I'm on OPT, can I work as a Customer Success Engineer while waiting for H-1B sponsorship?
Yes, provided your degree field is reasonably connected to the role. STEM OPT extensions, available to graduates in fields like computer science or information systems, give you up to three years of work authorization, which covers multiple H-1B lottery cycles. Your employer must be registered in E-Verify to support STEM OPT, so confirm that early in the process.
What is the prevailing wage requirement for sponsored Customer Success Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.