DevOps Jobs at Scale AI with Visa Sponsorship
DevOps jobs at Scale AI involve supporting the infrastructure behind large-scale AI data operations, and the company has an established track record of sponsoring work visas across multiple categories for this function. If you're on a work visa or need sponsorship, DevOps roles here are a realistic target.
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INTRODUCTION
The Business Development Representative will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI's enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI's capabilities, AI infrastructure offerings, and output methodology.
This role is designed as a bridge into strategic enterprise sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation.
You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity handoff into active enterprise sales cycles.
YOUR ROLE AND RESPONSIBILITIES
- Own outbound prospecting and customer engagement through Stage 2 qualification
- Drive customer outreach and education during the M1 phase of the sales process
- Teach prospective customers about Scale AI's capabilities, AI workflows, and output methodology
- Conduct discovery conversations to identify high-potential enterprise opportunities
- Generate and qualify pipeline opportunities for Enterprise Account Executives
- Partner closely with Account Executives to transition qualified opportunities into active deal cycles
- Develop a strong understanding of enterprise AI deployment patterns and customer use cases
- Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools
- Operate effectively within a verticalized sales organization across industries including Consumer, Finance, and Healthcare & Life Sciences (HCLS)
- Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality
BASIC QUALIFICATIONS
- 3+ years of experience in outbound sales, business development, SDR, BDR, or closing roles
- Experience selling SaaS, infrastructure, data, or technical products preferred
- Closing experience preferred but not required
- Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets
- Strong consultative communication and discovery skills
- Ability to educate customers on complex technical concepts and workflows
- Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows
- Experience working in fast-paced, high-growth environments
- Excellent writing and verbal communication skills
- Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred)
- Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership
- Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously
- Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Get Access To All JobsTips for Finding DevOps Jobs at Scale AI
Align your resume to AI infrastructure stacks
Scale AI's DevOps roles support data labeling pipelines and model training workflows. Highlight experience with Kubernetes, cloud-native tooling, and CI/CD systems that operate at scale. Generic infrastructure experience reads weaker than hands-on work with data-intensive or ML-adjacent platforms.
Confirm your visa category before applying
Scale AI sponsors several visa types for DevOps, including H-1B, E-3, TN, and F-1 OPT. Knowing which category applies to you before your first interview helps you answer sponsorship questions confidently and avoids delays if the recruiter needs to confirm feasibility internally.
Start your OPT job search at least three months early
F-1 OPT gives you a 60-day grace period after your program ends, but Scale AI's DevOps hiring process typically involves multiple technical rounds. Apply early enough that an offer and any required filings land well before your authorization window closes.
Use Migrate Mate to filter verified DevOps openings
Searching for roles that genuinely offer sponsorship is time-consuming. Use Migrate Mate to browse verified DevOps positions at Scale AI filtered by your visa type, so you're only spending time on roles where your immigration situation is already accounted for.
Understand the LCA before your offer stage
For H-1B and E-3 transfers or new petitions, your employer must file a Labor Condition Application with the DOL certifying the offered wage meets prevailing wage levels for your location. If Scale AI is hiring you in San Francisco, expect the prevailing wage benchmark to be high.
Flag cap-exempt status if you're already on H-1B
If you currently hold an H-1B with another employer, you're cap-exempt and can transfer to Scale AI year-round without waiting for the April lottery. Communicate this to your recruiter early since it significantly shortens the timeline and removes lottery risk from the equation.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for DevOps roles?
Yes, Scale AI sponsors H-1B visas for DevOps positions. If you're already on an H-1B with another employer, Scale AI can file an H-1B transfer without waiting for the annual lottery, and you can begin work as soon as USCIS receives the petition. New H-1B applicants without existing status will need to go through the April cap lottery.
Which visa types does Scale AI commonly sponsor for DevOps roles?
Scale AI sponsors a range of visa categories for DevOps, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current international students, J-1 visa, and EB-2 or EB-3 Green Card pathways for longer-term employment. The right category depends on your citizenship, current status, and where you are in your career.
What qualifications does Scale AI expect for DevOps roles?
Scale AI's DevOps roles typically require experience with cloud platforms such as AWS or GCP, container orchestration using Kubernetes, and infrastructure automation tooling. Given the company's focus on AI data pipelines, familiarity with high-throughput distributed systems is a practical advantage. A bachelor's degree in computer science or a related engineering field is standard for H-1B specialty occupation purposes.
How do I apply for DevOps jobs at Scale AI?
You can browse and apply for DevOps roles at Scale AI through Migrate Mate, which lists open positions filtered by visa sponsorship eligibility. Before applying, tailor your resume to reflect infrastructure work in data-heavy or machine learning environments, since Scale AI's engineering work centers on AI platform support. Expect a technical screening followed by multiple interview rounds.
How do I plan my timeline for a DevOps role at Scale AI on a work visa?
Timeline depends heavily on your visa category. H-1B transfers and E-3 applications can move in four to eight weeks if the employer files promptly and the Labor Condition Application is certified by the DOL without delays. F-1 OPT holders should account for the full interview process plus filing time within their authorized work window to avoid gaps in employment authorization.