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 Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs.
You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity.
You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs.
You Will:
- Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations
- Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research)
- Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy
- Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption
- Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions
- Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments
- Navigate regulatory, security, and procurement processes unique to financial services environments
- Act as the voice of the customer internally—informing product roadmap, agent design, and vertical-specific solutions
- Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools
- Operate with urgency and precision in a fast-paced, highly cross-functional environment
BASIC QUALIFICATIONS
- 8–12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech)
- Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments
- Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level
- Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them
- Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives
- Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting
- Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience
- Excellent communication and storytelling skills across both technical and non-technical audiences
- High level of business acumen, technical curiosity, and a consultative, customer-first mindset
PREFERRED QUALIFICATIONS
- Experience selling agentic AI, LLM platforms, or automation solutions into financial services
- Background working with or alongside risk, compliance, or data organizations within large enterprises
- Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments
- Prior experience in high-growth or emerging technology environments
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.