Green Card Customer Success Engineer Jobs
Customer Success Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, which lets U.S. employers permanently hire foreign professionals. Employers document the role's requirements, run a DOL-supervised recruitment process, and file an I-140 petition, putting you on a path to lawful permanent residency rather than a temporary visa.
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DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
The Customer Success Engineer is a post-sales technical expert responsible for driving adoption, consumption, and measurable outcomes from deployed GenAI applications. Customer Success Engineers serve as the technical bridge between developers and DataRobot’s platform, ensuring customers maximize value from using DataRobot. They work closely with Account Owner, Engagement Directors, and Professional Services teams to accelerate time-to-value, support expansion motions, and reduce churn risk through continuous enablement and use case optimization.
Key Responsibilities:
- Accelerate Onboarding & Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
- Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
- Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
- Technical Advocacy & Solution Feedback: Act as the voice of the customer to DataRobot’s product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
- Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
- Technical Enablement & Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
- Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.
Knowledge, Skills and Abilities:
- Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery
- AI Engineering to include GenAI application development, prompt engineering, and knowledge of LLMs
- Strong presentation and communication skills, with the ability to engage both business users and technical stakeholders
- Proven ability to translate complex technical functionality into measurable business outcomes
- Experience supporting product adoption, managing customer success plans, and driving technical consumption
- Working knowledge of AI/ML concepts (model deployment, inference, fine-tuning)
- Understanding of GenAI application architectures and LLM implementations
- Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns
- Comfortable reading code/logs to diagnose technical issues
Requisite Education and Experience / Minimum Qualifications:
- 5+ years of experience in technical customer-facing roles (e.g., Solution Engineer, AI Engineer, Technical CSM, App Developer) in SaaS or enterprise software
- Bachelor's degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus
Compensation Statement
The U.S. annual on-target earnings (OTE) range for this full-time position is between $125,000 and $180,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education.
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
The Customer Success Engineer is a post-sales technical expert responsible for driving adoption, consumption, and measurable outcomes from deployed GenAI applications. Customer Success Engineers serve as the technical bridge between developers and DataRobot’s platform, ensuring customers maximize value from using DataRobot. They work closely with Account Owner, Engagement Directors, and Professional Services teams to accelerate time-to-value, support expansion motions, and reduce churn risk through continuous enablement and use case optimization.
Key Responsibilities:
- Accelerate Onboarding & Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
- Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
- Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
- Technical Advocacy & Solution Feedback: Act as the voice of the customer to DataRobot’s product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
- Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
- Technical Enablement & Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
- Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.
Knowledge, Skills and Abilities:
- Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery
- AI Engineering to include GenAI application development, prompt engineering, and knowledge of LLMs
- Strong presentation and communication skills, with the ability to engage both business users and technical stakeholders
- Proven ability to translate complex technical functionality into measurable business outcomes
- Experience supporting product adoption, managing customer success plans, and driving technical consumption
- Working knowledge of AI/ML concepts (model deployment, inference, fine-tuning)
- Understanding of GenAI application architectures and LLM implementations
- Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns
- Comfortable reading code/logs to diagnose technical issues
Requisite Education and Experience / Minimum Qualifications:
- 5+ years of experience in technical customer-facing roles (e.g., Solution Engineer, AI Engineer, Technical CSM, App Developer) in SaaS or enterprise software
- Bachelor's degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus
Compensation Statement
The U.S. annual on-target earnings (OTE) range for this full-time position is between $125,000 and $180,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education.
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
See all 1,160+ Green Card Customer Success Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Customer Success Engineer
Document your technical scope before applying
PERM requires your employer to advertise a specific role with defined requirements. Before outreach, prepare a record of your CSE work: integration architectures you've owned, APIs you've implemented, and measurable retention outcomes. This makes it easier for employers to write an accurate, defensible job description.
Target companies already enrolled in E-Verify
PERM-sponsoring employers must comply with employment eligibility rules, and E-Verify enrollment signals that HR has the infrastructure to support immigration processes. Prioritize companies with dedicated immigration or global mobility teams, which are common at mid-to-large SaaS and enterprise software firms.
Distinguish EB-2 and EB-3 eligibility for your credentials
If you hold a relevant master's degree or can show your role requires advanced specialized knowledge, EB-2 may apply and typically moves faster for many nationalities. A four-year degree with substantial CSE experience generally fits EB-3. Knowing which category your profile fits shapes how you negotiate sponsorship during offer discussions.
Search PERM-filing employers using Migrate Mate
Use Migrate Mate to filter job listings by employers with active EB-2 and EB-3 green card sponsorship history for technical roles. This cuts out companies unlikely to start a PERM process and focuses your search on employers who have already committed to sponsoring foreign professionals.
Ask about PERM timeline expectations during negotiations
PERM, I-140, and adjustment of status can take two to four years or longer depending on your country of birth and visa backlog. During offer negotiations, ask whether the employer uses premium processing for the I-140 and how they handle sponsorship if your role evolves before the process completes.
Use the OFLC Wage Search to verify prevailing wage before negotiating
PERM requires your employer to pay at least the DOL prevailing wage for your occupation and location. Look up the wage level for your CSE role via the OFLC Wage Search before salary negotiations. If an employer's offer falls below Level II or III for your metro area, the PERM filing is at risk.
Green Card Customer Success Engineer: Frequently Asked Questions
Does a Customer Success Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Customer Success Engineer roles can qualify under either EB-2 or EB-3 depending on how the position is defined and your credentials. EB-2 applies if the role requires an advanced degree or equivalent specialized knowledge. EB-3 covers positions that require at least a bachelor's degree in a relevant field. Most employers sponsor CSEs at the EB-3 level, though candidates with a master's or roles requiring advanced technical architecture work may qualify for EB-2.
How does green card sponsorship differ from H-1B for a Customer Success Engineer?
H-1B visa is a temporary work visa tied to an annual lottery with a cap of 85,000 slots. Green card sponsorship through EB-2 or EB-3 has no annual lottery and leads to permanent residency rather than a renewable visa. The PERM process is longer, typically two to four years from start to green card, but once your I-140 is approved your place in the queue is secured regardless of employer changes under certain portability rules.
What does the PERM process involve for a Customer Success Engineer role?
PERM requires your employer to conduct a DOL-supervised recruitment campaign to demonstrate no qualified U.S. workers are available for the role. This includes specific advertising steps, a defined wage at or above the prevailing rate, and a detailed job description. For CSE roles, the employer must document technical requirements accurately because DOL audits the scope of duties. After PERM certification, the employer files an I-140 petition, and you file for adjustment of status or consular processing.
How can I find Customer Success Engineer jobs with green card sponsorship?
Migrate Mate lets you search for Customer Success Engineer roles filtered by employers with documented EB-2 and EB-3 green card sponsorship history. This is more direct than searching general job boards because it surfaces employers who have already committed to sponsoring foreign professionals through PERM, rather than companies that may be open to it in theory but have no track record of doing so.
Does country of birth affect my wait time for an EB-3 green card as a Customer Success Engineer?
Yes. EB-3 green card wait times depend heavily on your country of birth, not citizenship. Applicants born in India or China face multi-year backlogs due to per-country caps on immigrant visas. Applicants born in most other countries fall into the Rest of World category, where EB-3 priority dates typically move much faster and current wait times are significantly shorter. USCIS publishes monthly visa bulletin updates that show current priority dates by country.