OPT Customer Success Jobs
Customer Success roles are among the more OPT-friendly positions in tech and SaaS, with many employers regularly sponsoring H-1B visas after OPT. Your 12-month OPT window (or 24-month STEM extension if your degree qualifies) gives you real time to prove value and convert into long-term sponsorship.
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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 5,072+ OPT Customer Success Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Customer Success Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Customer Success
Target SaaS companies with dedicated CS teams
Mid-size SaaS companies between 50 and 500 employees often have structured Customer Success functions and a track record of H-1B sponsorship. Check USCIS LCA disclosure data to verify whether a company has sponsored visas before.
Apply before your OPT start date
Hiring managers need time to evaluate and onboard. Starting your search three to four months before graduation gives you runway to secure an offer before your OPT authorization begins, avoiding gaps in work authorization.
Frame your international background as an asset
Customer Success roles involve managing diverse client bases. Your cross-cultural communication skills and multilingual ability are genuinely valuable, especially at companies with global accounts. Lead with this in your cover letter and interviews.
Ask about H-1B sponsorship early but tactfully
Raise visa sponsorship after an employer shows interest, not in the first message. A clear, matter-of-fact question during a final-round interview signals professionalism and helps you avoid investing time in companies that won't sponsor.
Pursue roles with a defined career path
Companies with clear progression from CSM to Senior CSM or CS Manager are more likely to invest in long-term sponsorship. Stability in the role strengthens your H-1B petition narrative around specialty occupation.
Browse OPT-specific listings on Migrate Mate
Generic job boards mix OPT-friendly and non-sponsoring employers with no way to filter. Migrate Mate surfaces Customer Success roles from employers open to OPT, saving you hours of manual research and rejection.
Customer Success OPT: Frequently Asked Questions
Do Customer Success jobs qualify for the STEM OPT extension?
It depends on your degree, not the job title. If you graduated with a STEM-designated degree such as Computer Science, Information Systems, or a related field, you can apply for the 24-month STEM OPT extension regardless of the role title. Customer Success positions at tech companies often satisfy the practical training requirement, but your employer must be enrolled in E-Verify and sign a formal training plan.
Are Customer Success roles considered specialty occupations for H-1B purposes?
Customer Success Manager roles at SaaS and tech companies generally qualify as specialty occupations when the position requires a bachelor's degree in a specific field such as Business, Communications, Computer Science, or a related discipline. Roles that are purely relationship-based with no degree requirement can face scrutiny. Look for job postings that specify a degree requirement, and make sure your degree field aligns with the duties described.
How do I find Customer Success employers who sponsor OPT?
Migrate Mate is the most direct way to find Customer Success roles from employers who are open to sponsoring OPT students. You can also cross-reference companies by searching USCIS LCA disclosure data to see which employers have filed Labor Condition Applications for similar roles. Prioritize companies in SaaS, enterprise software, and technology services, where CS sponsorship is most common.
What happens to my OPT if I'm let go from a Customer Success job?
You have a 60-day grace period after your employment ends to find a new position, transfer your OPT to a new employer, or prepare to depart the U.S. You don't need to file anything with USCIS immediately, but you should report the change to your DSO within 10 days. If you find a new Customer Success role within the grace period, your new employer simply verifies your valid EAD on Form I-9.
Can I work as a contractor or consultant in Customer Success on OPT?
Yes, OPT allows self-employment and contract work as long as the work is directly related to your degree field and you average at least 20 hours per week. However, for STEM OPT extension purposes, self-employment is not permitted. You must have a formal employer-employee relationship with a company enrolled in E-Verify. If you're on standard OPT and working contract Customer Success roles, keep detailed records of your work and its connection to your degree.