OPT Customer Success Engineer Jobs
Customer Success Engineer jobs are a strong fit for F-1 OPT students with technical backgrounds and client-facing skills. Most roles qualify as specialty occupations under OPT work authorization, and many employers in SaaS and enterprise software actively sponsor H-1B visas for this position, making it a viable long-term path.
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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 251+ OPT Customer Success Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Customer Success Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Customer Success Engineer
Target SaaS and enterprise software companies
Companies selling complex software products rely heavily on Customer Success Engineers and sponsor H-1B visas at high rates. Focus your search on B2B SaaS employers with established engineering teams, as they're most likely to have structured sponsorship processes in place.
Document your technical specialty clearly
OPT authorization requires your role to qualify as a specialty occupation. Customer Success Engineer roles that involve API troubleshooting, technical onboarding, or solutions architecture are easier to justify than generalist support roles. Tailor your resume to emphasize the technical depth of your work.
Raise sponsorship early in the process
Don't wait until the offer stage to ask about H-1B sponsorship. Bring it up after the second interview round, once there's mutual interest. Asking too late can create friction, while asking too early risks screening yourself out before you've demonstrated your value.
Highlight cross-functional impact in your interviews
Customer Success Engineers sit between engineering, sales, and product. Demonstrating that you can translate technical issues into business language, and vice versa, makes you harder to replace and signals the kind of value employers will invest in sponsoring long-term.
Use your OPT period to build product expertise
Employers are more willing to sponsor candidates who already understand their product ecosystem. Use your first OPT role to develop deep knowledge of a specific platform or technology stack, which makes you a compelling sponsorship candidate when H-1B season approaches.
Browse OPT-friendly Customer Success Engineer roles on Migrate Mate
Migrate Mate filters jobs by employers willing to sponsor international candidates, saving you the guesswork of researching each company individually. Focusing your applications on verified sponsoring employers during OPT protects your timeline and improves your conversion rate.
Customer Success Engineer OPT: Frequently Asked Questions
Does a Customer Success Engineer role qualify for F-1 OPT work authorization?
Yes, in most cases. Customer Success Engineer is generally considered a specialty occupation because it requires a bachelor's degree or higher in a specific technical field, such as computer science, engineering, or information systems. Roles that involve API integrations, technical onboarding, or systems troubleshooting carry the strongest qualification, while roles focused primarily on account management without a technical component may face more scrutiny.
Is Customer Success Engineer a good role for STEM OPT extension?
It can be, depending on how the role is classified. If your degree is in a STEM field and your employer reports your position under a STEM-designated CIP code, you may qualify for the 24-month STEM OPT extension on top of your initial 12 months. Roles involving data analysis, software implementation, or engineering support are the most defensible. Confirm the SOC code your employer will use before applying for the extension.
Do Customer Success Engineer employers commonly sponsor H-1B visas?
Yes, particularly at mid-size and enterprise SaaS companies. Customer Success Engineers who demonstrate deep product expertise and strong retention impact are frequently included in H-1B sponsorship cycles. You can search Department of Labor LCA disclosure data to verify whether a specific employer has sponsored this job title before. Migrate Mate also surfaces employers with documented sponsorship histories, which makes it easier to target the right companies during your OPT job search.
How does the 60-day grace period affect my Customer Success Engineer job search?
If your Customer Success Engineer role ends before you find a new position, you have a 60-day grace period to find authorized employment or change your status. You cannot work during this period. Because the role often involves extended onboarding and ramp time, losing a position mid-OPT is especially costly. Prioritizing employers with strong retention rates and documented sponsorship programs reduces the risk of landing in a grace period situation.
What should I look for in a Customer Success Engineer job posting to assess sponsorship likelihood?
Look for postings that specify a technical degree requirement rather than any bachelor's degree, which signals the role may qualify as a specialty occupation and that the employer understands the distinction. Language about H-1B sponsorship availability, references to an immigration attorney, or mention of structured onboarding programs are positive indicators. Avoid roles where the posting emphasizes relationship management over technical problem-solving, as these are harder to qualify under specialty occupation standards.