Cloud Sales Engineer Jobs for OPT Students
Cloud Sales Engineer jobs are actively sponsored for OPT, with employers filing H-1B petitions well before your 12-month authorization window closes. Roles sit at the intersection of technical depth and revenue generation, making them attractive to companies who see long-term value in sponsoring international talent.
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Get Access To All JobsAbout Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
You will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. You’ll own the technical success and long-term outcome of our strategic and enterprise accounts by managing and resolving escalations, maintaining and improving our runbooks, and proactively surface patterns that drive product improvements. This role blends hands-on debugging, infrastructure expertise, AI model performance monitoring, and executive-level customer-facing ownership. You’re of course not alone in this endeavor — partnering closely with product, engineering, and forward-deployed teams to remove technical friction, drive adoption, and ensure long-term success for high-value accounts.
Responsibilities
- Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
- Debug infrastructure issues across Kubernetes (pods, controllers), networking, observability, and alerting systems.
- Lead incident response during outages or escalations, managing coordination between Product, FDE, Sales, and Engineering.
- Serve as the technical owner for top enterprise accounts with strict SLAs and high responsiveness expectations.
- Identify common failure modes and translate user feedback into roadmap signals, product improvements, our internal runbooks, knowledge bases, and diagnostic best practices.
- Own project coordination end-to-end: scoping, execution, communication, and stakeholder alignment across technical and non-technical teams ranging from feature requests, new deployments, and operational debugging issues.
Requirements
- Deep Kubernetes troubleshooting expertise, including advanced resource debugging, pod/runtime analysis, and log-based diagnostics using observability tooling such as Grafana, Loki, and Prometheus.
- Strong infrastructure debugging ability across container orchestration, networking, and service dependencies, with hands-on experience supporting production-grade clusters.
- Experience managing high-severity incidents with major customers, including SLAs, post-incident reviews, and clear communication throughout escalations.
- Proven project management and organizational skills with an ownership mindset, able to manage multiple complex, multi-stakeholder initiatives in parallel — including issue resolution, root-cause analysis, and feature delivery.
- Ability to translate recurring technical pain points into roadmap-level insights, documentation improvements, or product enhancements.
- Strong communication skills and executive presence during high-visibility situations, ensuring technical clarity and customer confidence.
- 3+ years of experience in a fast-paced, high-growth, or customer-facing engineering environment.
BONUS
- Familiarity with running high-performance AI models and workloads, including troubleshooting ML pipelines from preprocessing through inference and serving.
- Experience implementing or managing ticketing and incident-response systems such as Zendesk or Pylon.
- Familiarity with Helm, Flux, CI/CD tooling, or scripting automations to improve deployment, release, or operational workflows.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Compensation Range: $150K - $225K
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
You will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. You’ll own the technical success and long-term outcome of our strategic and enterprise accounts by managing and resolving escalations, maintaining and improving our runbooks, and proactively surface patterns that drive product improvements. This role blends hands-on debugging, infrastructure expertise, AI model performance monitoring, and executive-level customer-facing ownership. You’re of course not alone in this endeavor — partnering closely with product, engineering, and forward-deployed teams to remove technical friction, drive adoption, and ensure long-term success for high-value accounts.
Responsibilities
- Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
- Debug infrastructure issues across Kubernetes (pods, controllers), networking, observability, and alerting systems.
- Lead incident response during outages or escalations, managing coordination between Product, FDE, Sales, and Engineering.
- Serve as the technical owner for top enterprise accounts with strict SLAs and high responsiveness expectations.
- Identify common failure modes and translate user feedback into roadmap signals, product improvements, our internal runbooks, knowledge bases, and diagnostic best practices.
- Own project coordination end-to-end: scoping, execution, communication, and stakeholder alignment across technical and non-technical teams ranging from feature requests, new deployments, and operational debugging issues.
Requirements
- Deep Kubernetes troubleshooting expertise, including advanced resource debugging, pod/runtime analysis, and log-based diagnostics using observability tooling such as Grafana, Loki, and Prometheus.
- Strong infrastructure debugging ability across container orchestration, networking, and service dependencies, with hands-on experience supporting production-grade clusters.
- Experience managing high-severity incidents with major customers, including SLAs, post-incident reviews, and clear communication throughout escalations.
- Proven project management and organizational skills with an ownership mindset, able to manage multiple complex, multi-stakeholder initiatives in parallel — including issue resolution, root-cause analysis, and feature delivery.
- Ability to translate recurring technical pain points into roadmap-level insights, documentation improvements, or product enhancements.
- Strong communication skills and executive presence during high-visibility situations, ensuring technical clarity and customer confidence.
- 3+ years of experience in a fast-paced, high-growth, or customer-facing engineering environment.
BONUS
- Familiarity with running high-performance AI models and workloads, including troubleshooting ML pipelines from preprocessing through inference and serving.
- Experience implementing or managing ticketing and incident-response systems such as Zendesk or Pylon.
- Familiarity with Helm, Flux, CI/CD tooling, or scripting automations to improve deployment, release, or operational workflows.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Compensation Range: $150K - $225K
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
How to Get Visa Sponsorship as a Cloud Sales Engineer
Earn a cloud certification before applying
AWS Solutions Architect, Google Cloud Professional, or Azure credentials signal credibility to hiring managers. Certified candidates close more enterprise deals and are easier for employers to justify sponsoring through the H-1B process.
Position yourself at the technical end of the sales spectrum
Employers sponsor roles requiring specialized knowledge, not generalist sales skills. Emphasize your ability to architect solutions, run proof-of-concept projects, and translate infrastructure requirements into business value during every interview.
Start the OPT clock conversation early
Bring up your authorization timeline during the offer stage, not after. Employers familiar with sponsorship appreciate transparency, and it lets HR confirm the H-1B filing schedule before your first day.
Tailor your resume to enterprise and cloud-native accounts
Highlight any experience with AWS, Azure, or GCP environments, even academic or internship exposure. Employers hiring for enterprise cloud sales want evidence you can speak credibly to IT architects and procurement leads.
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Get Access To All JobsFrequently Asked Questions
Do Cloud Sales Engineer roles qualify for STEM OPT extension?
It depends on your degree, not the job title. If your bachelor's or master's is in a STEM-designated field such as computer science, information systems, or electrical engineering, you likely qualify for the 24-month extension. The role itself is not evaluated for STEM eligibility, but most Cloud Sales Engineers hold technical degrees that do qualify.
How do I find Cloud Sales Engineer jobs that sponsor OPT on Migrate Mate?
Migrate Mate filters job listings by visa sponsorship type, so you can browse Cloud Sales Engineer roles posted by employers who have explicitly indicated they sponsor OPT or H-1B candidates. This removes the guesswork of cold-applying to companies that may not have a sponsorship process in place.
Can I work as a Cloud Sales Engineer on OPT without prior full-time experience?
Yes, though most employers prefer candidates who have completed internships or capstone projects involving cloud platforms. Demonstrating hands-on exposure to AWS, Azure, or GCP through coursework, certifications, or internships is often sufficient for entry-level roles. Your OPT authorization is valid regardless of experience level as long as the role is related to your field of study.
Is a Cloud Sales Engineer role considered a specialty occupation for H-1B purposes?
Generally yes. Cloud Sales Engineer positions typically require a bachelor's degree or higher in computer science, engineering, or a related technical field, which meets USCIS specialty occupation standards. Roles requiring only general business skills without a specific degree requirement may face more scrutiny, so the technical nature of the job description matters significantly.
What happens to my OPT authorization if I move from one Cloud Sales Engineer role to another?
You can change employers during OPT as long as the new role is directly related to your field of study. You must report the change to your DSO within ten days and update your record in SEVIS. There is no gap restriction between roles, but working without a qualifying job or in an unrelated field puts your status at risk.
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