Customer Success Engineering Green Card Jobs
Customer Success Engineering roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. Most CSE positions satisfy the specialty occupation standard, making employer-sponsored permanent residency a realistic path for foreign professionals with the right credentials.
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Get Access To All JobsINTRODUCTION
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.
As the Director of Customer Success Engineering, you will be a pivotal leadership figure reporting directly to the VP of Customer Success Engineering. You will operationalize the global customer success engineering strategy by leading a regional or segmented team of highly skilled Customer Success Engineers (CSEs).
Your team is responsible for working hand-in-hand with customer AI Engineers and developers to maximize the value of DataRobot’s Agentic platform. You will ensure your CSEs are delivering measurable business outcomes, driving high application consumption, and securing long-term customer retention. This is a highly collaborative role requiring deep technical acumen in Generative/Predictive AI, proven people leadership, and a customer-obsessed mindset. You will partner cross-functionally with Account Management, Professional Services, Product, and Engineering to ensure a seamless customer experience that drives retention and growth.
ROLE AND RESPONSIBILITIES
What You Will Achieve (30-60-90 Days)
- Day 30: Understand the DataRobot platform, shadow ongoing CSE customer engagements, learn our internal processes, and build relationships with your direct reports and cross-functional peers (Engineering, Product, Account Management).
- Day 60: Take full operational ownership of your team's book of business. Begin identifying opportunities to optimize CSE capacity, improve Time-to-Value (TTV) for new deployments, and standardize success planning.
- Day 90: Co-develop and execute strategic adoption plans for top-tier enterprise accounts. Establish a clear feedback loop with Product/Engineering to champion customer needs, and begin driving measurable improvements in team KPIs (health scores, platform consumption).
Key Responsibilities
Team Leadership & Development
- Manage, mentor, and scale a high-performing team of Customer Success Engineers (CSEs).
- Translate the overarching technical success strategy set by the VP of Customer Success Engineering into actionable team-level objectives.
- Build a culture of accountability, continuous learning, and innovation.
- Develop career progression pathways, conduct performance reviews, and recruit top-tier technical talent to keep pace with company growth.
Customer Outcomes & Value Realization
- Serve as the senior technical sponsor and executive escalation point for strategic enterprise accounts.
- Ensure the successful execution of adoption plans, empowering customers to leverage DataRobot’s GenAI and predictive capabilities fully.
- Own regional/segment performance metrics, specifically customer health scores, and platform consumption rates.
- Proactively identify account risks and commercial expansion opportunities (upsell/cross-sell), guiding your CSEs to intervene and drive value realization alongside Account Management.
Operational Excellence & Tooling
- Drive day-to-day operational rigor across the team, ensuring adherence to success planning standards, CRM hygiene, and engagement methodologies.
- Leverage CS platforms and CRM tools (e.g., Salesforce) to optimize team utilization, capacity planning, and productivity metrics.
- Partner with the VP of Customer Success Engineering to evaluate telemetry data and analytics, continuously improving the customer journey.
Cross-Functional Collaboration
- Work closely with Account Management and Sales leadership to seamlessly align pre-sales expectations with post-sales technical delivery.
- Act as a vital conduit between the field and the Product/Engineering teams, utilizing tools like Jira or Productboard to aggregate and translate customer feedback into roadmap influence.
- Collaborate with Enablement teams to ensure your technical staff is thoroughly trained on the latest DataRobot features, AI agents, and market trends.
KNOWLEDGE, SKILLS, AND ABILITIES
- Strong foundational knowledge of artificial intelligence, including predictive AI, Generative AI, LLMs, AI Agents, and modern SaaS delivery architectures (AWS, GCP, Azure).
- Familiarity with data science concepts, programming languages (Python, R), and enterprise AI integration patterns.
- Demonstrated ability to coach highly technical individual contributors (data scientists, CSEs, ML engineers) into trusted strategic business advisors.
- Ability to translate highly complex technical concepts into ROI-driven business narratives for C-suite stakeholders.
- Data-driven decision-maker with a strong grasp of customer success operations and financial KPIs.
MINIMUM QUALIFICATIONS
- 10+ years of experience in post-sales technical, solution engineering, or professional services roles within the B2B enterprise SaaS, Cloud, or AI/Data space.
- 3–5+ years of direct people management experience, successfully leading technical customer-facing teams.
- Proven track record of owning and achieving product adoption, retention, and commercial expansion targets.
- Bachelor’s degree in a technical, business, or related field (Master’s degree or equivalent experience preferred).
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.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
INTRODUCTION
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.
As the Director of Customer Success Engineering, you will be a pivotal leadership figure reporting directly to the VP of Customer Success Engineering. You will operationalize the global customer success engineering strategy by leading a regional or segmented team of highly skilled Customer Success Engineers (CSEs).
Your team is responsible for working hand-in-hand with customer AI Engineers and developers to maximize the value of DataRobot’s Agentic platform. You will ensure your CSEs are delivering measurable business outcomes, driving high application consumption, and securing long-term customer retention. This is a highly collaborative role requiring deep technical acumen in Generative/Predictive AI, proven people leadership, and a customer-obsessed mindset. You will partner cross-functionally with Account Management, Professional Services, Product, and Engineering to ensure a seamless customer experience that drives retention and growth.
ROLE AND RESPONSIBILITIES
What You Will Achieve (30-60-90 Days)
- Day 30: Understand the DataRobot platform, shadow ongoing CSE customer engagements, learn our internal processes, and build relationships with your direct reports and cross-functional peers (Engineering, Product, Account Management).
- Day 60: Take full operational ownership of your team's book of business. Begin identifying opportunities to optimize CSE capacity, improve Time-to-Value (TTV) for new deployments, and standardize success planning.
- Day 90: Co-develop and execute strategic adoption plans for top-tier enterprise accounts. Establish a clear feedback loop with Product/Engineering to champion customer needs, and begin driving measurable improvements in team KPIs (health scores, platform consumption).
Key Responsibilities
Team Leadership & Development
- Manage, mentor, and scale a high-performing team of Customer Success Engineers (CSEs).
- Translate the overarching technical success strategy set by the VP of Customer Success Engineering into actionable team-level objectives.
- Build a culture of accountability, continuous learning, and innovation.
- Develop career progression pathways, conduct performance reviews, and recruit top-tier technical talent to keep pace with company growth.
Customer Outcomes & Value Realization
- Serve as the senior technical sponsor and executive escalation point for strategic enterprise accounts.
- Ensure the successful execution of adoption plans, empowering customers to leverage DataRobot’s GenAI and predictive capabilities fully.
- Own regional/segment performance metrics, specifically customer health scores, and platform consumption rates.
- Proactively identify account risks and commercial expansion opportunities (upsell/cross-sell), guiding your CSEs to intervene and drive value realization alongside Account Management.
Operational Excellence & Tooling
- Drive day-to-day operational rigor across the team, ensuring adherence to success planning standards, CRM hygiene, and engagement methodologies.
- Leverage CS platforms and CRM tools (e.g., Salesforce) to optimize team utilization, capacity planning, and productivity metrics.
- Partner with the VP of Customer Success Engineering to evaluate telemetry data and analytics, continuously improving the customer journey.
Cross-Functional Collaboration
- Work closely with Account Management and Sales leadership to seamlessly align pre-sales expectations with post-sales technical delivery.
- Act as a vital conduit between the field and the Product/Engineering teams, utilizing tools like Jira or Productboard to aggregate and translate customer feedback into roadmap influence.
- Collaborate with Enablement teams to ensure your technical staff is thoroughly trained on the latest DataRobot features, AI agents, and market trends.
KNOWLEDGE, SKILLS, AND ABILITIES
- Strong foundational knowledge of artificial intelligence, including predictive AI, Generative AI, LLMs, AI Agents, and modern SaaS delivery architectures (AWS, GCP, Azure).
- Familiarity with data science concepts, programming languages (Python, R), and enterprise AI integration patterns.
- Demonstrated ability to coach highly technical individual contributors (data scientists, CSEs, ML engineers) into trusted strategic business advisors.
- Ability to translate highly complex technical concepts into ROI-driven business narratives for C-suite stakeholders.
- Data-driven decision-maker with a strong grasp of customer success operations and financial KPIs.
MINIMUM QUALIFICATIONS
- 10+ years of experience in post-sales technical, solution engineering, or professional services roles within the B2B enterprise SaaS, Cloud, or AI/Data space.
- 3–5+ years of direct people management experience, successfully leading technical customer-facing teams.
- Proven track record of owning and achieving product adoption, retention, and commercial expansion targets.
- Bachelor’s degree in a technical, business, or related field (Master’s degree or equivalent experience preferred).
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.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
See all 785+ Customer Success Engineering jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Customer Success Engineering roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in Customer Success Engineering
Document your degree-to-role alignment early
PERM requires your education to match the posted job requirements. Gather official transcripts, degree equivalency evaluations, and any credential assessments now, delays here stall the entire I-140 filing downstream.
Target employers with active PERM filing history
Search the OFLC Wage Search database to verify which companies have filed PERM applications for Customer Success Engineering or adjacent technical roles. Employers with recent filings understand the process and won't treat sponsorship as a first-time experiment.
Search EB-2 and EB-3 roles using Migrate Mate
Use Migrate Mate to filter Customer Success Engineering jobs by green card sponsorship history, so you're applying only to employers who have actually completed the PERM process for technical roles before.
Clarify the job description before PERM is filed
DOL audits frequently target vague or overly broad job duties in PERM applications. Push your employer to define your Customer Success Engineering responsibilities precisely before the application is filed, since corrections after submission can restart the clock.
Understand EB-2 versus EB-3 classification for your credentials
If your role requires a bachelor's degree and you hold exactly that, you'll likely land in EB-3. A master's degree or a combination of a bachelor's plus five years of progressive experience can qualify you for EB-2, which matters significantly if your country has priority date backlogs.
Account for PERM's recruitment phase in your timeline
PERM requires your employer to run a mandatory recruitment period before filing with DOL. This process typically adds three to six months before the I-140 petition can even be submitted, so align your current visa status and authorized stay window accordingly.
Customer Success Engineering jobs are hiring across the US. Find yours.
Find Customer Success Engineering JobsCustomer Success Engineering Green Card Sponsorship: Frequently Asked Questions
Does a Customer Success Engineering role qualify for EB-2 or EB-3 green card sponsorship?
Most Customer Success Engineering positions qualify for either EB-2 or EB-3 depending on the degree requirement the employer sets in the PERM application. If the role requires a bachelor's degree in a technical field like computer science or engineering, EB-3 applies. If the employer specifies an advanced degree or the role involves sufficiently specialized work, EB-2 is the stronger fit.
How does green card sponsorship differ from H-1B sponsorship for Customer Success Engineers?
H-1B is a temporary nonimmigrant visa with an annual lottery cap and a fixed validity period. Green card sponsorship through PERM and the EB-2 or EB-3 category leads to permanent residency with no expiration. There's no annual cap on PERM filings themselves, though per-country visa number backlogs at the EB-3 level affect applicants from high-demand countries like India and China. For most other nationalities, priority dates move faster.
What does the PERM labor certification process require from a Customer Success Engineering employer?
Your employer must conduct a DOL-mandated recruitment campaign to demonstrate no qualified U.S. worker is available for the role. This includes posting the job through specific channels, documenting applicant rejections with lawful reasons, and filing the ETA-9089 application with OFLC. The recruitment window alone typically takes 60 to 90 days, and DOL processing adds additional months before a decision.
How can I find Customer Success Engineering jobs that offer green card sponsorship?
Standard job searches don't filter by PERM filing history, so you can spend weeks applying to employers who have no infrastructure for green card sponsorship. Migrate Mate lets you search Customer Success Engineering roles specifically by employment-based green card sponsorship history, so your applications go to employers who have already completed the PERM process for technical roles.
Can I switch employers during the green card process for a Customer Success Engineering role?
Portability under AC21 allows you to change employers after your I-485 adjustment of status application has been pending for 180 days or more, provided the new role is in the same or a similar occupational classification. Customer Success Engineering roles often qualify for portability when moving to a comparable technical or customer-facing engineering position, but you'll need a new employer willing to continue sponsorship.
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