H-1B Visa Customer Success Engineer Jobs
Customer Success Engineer roles sit at the intersection of technical depth and client relationship management, making them strong candidates for H-1B specialty occupation classification. Employers filing LCAs for this title typically use SOC codes tied to software and systems roles. Find companies with active H-1B filing history here.
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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.
Delivering Customer Success is an important focus for Dataiku. As a 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.
ROLE AND RESPONSIBILITIES
- 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%.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- 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).
COMPENSATION AND BENEFITS
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$144,000 — $152,000 USD
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!
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.
Delivering Customer Success is an important focus for Dataiku. As a 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.
ROLE AND RESPONSIBILITIES
- 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%.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- 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).
COMPENSATION AND BENEFITS
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$144,000 — $152,000 USD
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!
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 1,370+ 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 H-1B Visa Sponsorship as a Customer Success Engineer
Verify your role meets specialty occupation
USCIS requires a direct relationship between your degree field and the Customer Success Engineer role. If your degree is in a field adjacent to software or systems, document how your coursework directly supports the technical responsibilities in the job description.
Check the SOC code on your LCA
Customer Success Engineer roles are filed under varying SOC codes depending on the employer. Confirm your employer is using a code tied to software or engineering occupations, not a sales or support classification, which can affect prevailing wage levels and petition strength.
Look up your prevailing wage before negotiating
Use the OFLC Wage Search to find the Level I through Level IV prevailing wage for your SOC code in your work location. Your offered salary must meet at least the Level I threshold, and knowing the tiers helps you evaluate whether an offer is LCA-compliant.
Target employers with dedicated implementation teams
Companies with dedicated professional services or technical implementation teams file H-1B petitions for Customer Success Engineers more consistently than those where the role blurs into sales support. Use Migrate Mate to filter employers by LCA filing history for this specific occupation.
Clarify remote work arrangements before filing
If your Customer Success Engineer role involves client site visits or work across multiple locations, your employer must file an amended LCA for each new worksite. Raise this with your employer before the I-129 is submitted to avoid compliance gaps after approval.
Account for cap-gap if you're transitioning from OPT
If you're on STEM OPT when your H-1B is selected in the lottery, your work authorization extends automatically through cap-gap until October 1. Confirm your employer's I-129 is filed before your OPT expiration to keep the cap-gap period continuous.
Customer Success Engineer jobs are hiring across the US. Find yours.
Find Customer Success Engineer JobsCustomer Success Engineer H-1B Visa: Frequently Asked Questions
Does a Customer Success Engineer role qualify as a specialty occupation for H-1B purposes?
It depends on how the employer defines the role. USCIS looks at whether the position normally requires at least a bachelor's degree in a specific technical field. Customer Success Engineer roles that involve system configuration, API integration, or technical onboarding generally qualify. Roles that are primarily relationship management without a technical degree requirement are more likely to face a Request for Evidence.
How do I find employers who consistently sponsor H-1B visas for Customer Success Engineer positions?
Search on Migrate Mate, which surfaces employers based on verified DOL Labor Condition Application filing history for this specific occupation. LCA data shows which companies have sponsored this title before, which is a stronger signal than general reputation. Software companies with enterprise products and dedicated implementation teams tend to file most frequently for this role.
Can I transfer my H-1B to a new employer if I change Customer Success Engineer jobs?
Yes. Under H-1B portability rules, you can start working for a new employer once they file an H-1B transfer petition, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days. Your new employer files a new LCA and I-129. You don't need to restart the process from the lottery.
What happens to my H-1B if my Customer Success Engineer role shifts from technical to more sales-focused work?
A material change in job duties can require an amended H-1B petition. If your role moves away from the technical scope described in your original I-129, your employer should file an amendment before the duties change. Working in a role that no longer matches your petition creates a status violation even if you hold a valid approval.
Does the O*NET profile for Customer Success Engineer support H-1B specialty occupation classification?
O*NET doesn't list Customer Success Engineer as a standalone occupation. Employers typically map it to software developer, computer systems analyst, or similar titles when filing the LCA. The O*NET job zone and education requirements for those mapped titles are what USCIS and DOL use to evaluate whether the role meets specialty occupation criteria, so the SOC code your employer selects matters significantly.
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