Senior Customer Success Engineer Jobs in USA with Visa Sponsorship
Senior Customer Success Engineers are strong H-1B visa and L-1B candidates. The role qualifies as a specialty occupation requiring a bachelor's degree in computer science, engineering, or a related technical field, and most large employers sponsor regularly. 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 443+ Senior Customer Success Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Customer Success Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Customer Success Engineer
Lead with technical depth, not account management
H-1B approval for this role depends on demonstrating it requires specialized technical knowledge. Emphasize API integrations, architecture reviews, and complex troubleshooting over relationship management or renewal work in your resume and offer letter.
Confirm your employer files H-1B before accepting
Not every company that hires Senior CSEs sponsors visas. Before investing in interviews, ask the recruiter directly whether they have an active H-1B sponsorship program and have filed petitions for similar roles before.
Request a specialty occupation job description
USCIS scrutinizes CSE roles for degree requirements. Ensure your offer letter explicitly states a bachelor's degree in a specific technical field is required, not just preferred. Ambiguous language is one of the most common denial triggers.
Document the technical complexity of your past work
Build a portfolio of evidence: architecture diagrams, technical runbooks, integration documentation you authored. This directly supports the specialty occupation argument if USCIS issues a Request for Evidence after your employer files.
Target SaaS and enterprise software companies first
Companies selling complex technical products, including infrastructure platforms, developer tools, and data products, file LCAs for CSE roles far more frequently than general software firms. Filtering by product complexity improves your sponsorship odds meaningfully.
Understand how L-1B works if you're transferring internally
If you already work for a multinational company abroad, an L-1B intracompany transfer may be faster than the H-1B lottery. It requires 12 months of employment outside the U.S. and proof of specialized knowledge specific to your employer.
Frequently Asked Questions
Does a Senior Customer Success Engineer role qualify for H-1B sponsorship?
Yes, but the job description needs to clearly require a bachelor's degree in a specific technical field such as computer science, information systems, or engineering. Roles framed primarily around account management or renewals face higher RFE rates. Positions that emphasize technical implementation, API troubleshooting, or solutions architecture have stronger specialty occupation arguments and are approved with greater consistency.
What degree do I need for a sponsored Senior CSE role?
Most employers and USCIS require a bachelor's degree in computer science, software engineering, information technology, or a closely related field. A business or communications degree alone is unlikely to support the specialty occupation requirement. If your degree is from Australia, India, or the UK, a three-year bachelor's is generally accepted as equivalent to a U.S. four-year degree, provided it's in a qualifying technical field.
How can I find Senior Customer Success Engineer jobs that sponsor H-1B visas?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse Senior CSE openings from employers who have an active sponsorship program without having to ask each recruiter individually. This saves significant time and reduces the risk of going deep into an interview process before learning a company won't file.
Are H-1B RFEs common for Customer Success Engineer roles?
More common than for pure software engineering roles. USCIS sometimes questions whether customer-facing positions meet the specialty occupation standard, particularly if the job description includes duties that could be performed without a technical degree. Employers who have previously filed for this job title and received approvals, and who submit a precise, technically detailed job description, see lower RFE rates than first-time filers or companies with generic descriptions.
Can I get sponsored as a Senior CSE on an O-1 visa instead of H-1B?
O-1A is an option if you have documented extraordinary achievement, such as published technical work, significant industry recognition, or measurable organizational impact at scale. It bypasses the H-1B lottery entirely and has no annual cap. In practice, most Senior CSEs pursue H-1B visa because meeting O-1A's evidentiary standard is difficult without a strong track record of high-profile contributions. An immigration attorney can assess whether your background qualifies.
What is the prevailing wage requirement for sponsored Senior 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.