H-1B Visa Sales Operations Lead Jobs
Sales Operations Lead roles sit squarely within H-1B visa specialty occupation territory, requiring a bachelor's degree in business, operations, or a related field. Employers across SaaS, enterprise software, and technology services regularly sponsor H-1B visas for this role, making it one of the stronger targets for visa holders building a long-term U.S. career.
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Get Access To All JobsINTRODUCTION
The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Cardio Engineering Team within the Department of Cardiac Surgery. This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.
ROLE AND RESPONSIBILITIES
- Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team.
- Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems.
- Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles.
- Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects.
- Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights.
- Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications.
- Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices.
- Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget.
- Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met.
- Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery.
- Partners with Innovation and Digital Health Accelerator to operationalize AI within BCH.
- Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes.
- Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages.
- Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages.
- Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements.
- Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations.
- Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met.
MINIMUM QUALIFICATIONS
Education:
A bachelor's degree in computer science, engineering or a related field; master's degree is preferred.
Experience:
- 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.
- Proficient in SQL and an understanding of database management systems.
- Familiarity with ETL tools; experience with dbt is highly advantageous.
- Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing.
- Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
- Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
- Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
STATUS
Full-Time
Regular, Temporary, Per Diem
Regular
STANDARD HOURS PER WEEK
40
PAY RANGE
$93,537.60 - $149,656.00 Annual
OFFICE/SITE LOCATION
Boston
JOB POSTING CATEGORY
Research
REMOTE ELIGIBILITY
Part Remote/Hybrid
INTRODUCTION
The ML Ops Engineer II at Boston Children’s Hospital is an integral part of the Cardio Engineering Team within the Department of Cardiac Surgery. This role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency. Focused on innovation and technological advancement, the ML Ops Engineer II ensures the robust integration of data science into clinical and administrative processes.
ROLE AND RESPONSIBILITIES
- Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team.
- Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems.
- Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles.
- Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects.
- Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights.
- Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications.
- Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices.
- Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget.
- Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met.
- Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery.
- Partners with Innovation and Digital Health Accelerator to operationalize AI within BCH.
- Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes.
- Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages.
- Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages.
- Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements.
- Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations.
- Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met.
MINIMUM QUALIFICATIONS
Education:
A bachelor's degree in computer science, engineering or a related field; master's degree is preferred.
Experience:
- 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects.
- Proficient in SQL and an understanding of database management systems.
- Familiarity with ETL tools; experience with dbt is highly advantageous.
- Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing.
- Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development.
- Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus.
- Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines.
STATUS
Full-Time
Regular, Temporary, Per Diem
Regular
STANDARD HOURS PER WEEK
40
PAY RANGE
$93,537.60 - $149,656.00 Annual
OFFICE/SITE LOCATION
Boston
JOB POSTING CATEGORY
Research
REMOTE ELIGIBILITY
Part Remote/Hybrid
See all 4,293+ H-1B Visa Sales Operations Lead Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Sales Operations Lead
Verify your degree aligns with the role
USCIS requires a direct relationship between your degree field and the job duties. A business, supply chain, or information systems degree maps cleanly to Sales Operations Lead. A degree in an unrelated field can trigger a Request for Evidence.
Search LCA filings before applying
Use Migrate Mate to filter employers by verified H-1B Labor Condition Application filings for operations and sales roles. This shows you which companies have actually sponsored visas for comparable positions, not just which ones claim to be open to sponsorship.
Target employers with cap-exempt status
Universities, nonprofit research organizations, and government-related entities can file H-1B petitions outside the annual cap. Sales operations functions exist at these organizations, and a cap-exempt filing means your petition isn't subject to the lottery.
Request premium processing at the offer stage
Premium processing gets USCIS to adjudicate your I-129 petition within 15 business days. For a Sales Operations Lead role with a defined ramp period, this matters when an employer needs certainty before a fiscal quarter starts.
Confirm the prevailing wage tier before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your occupation and location. Use the OFLC Wage Search to identify the Level II or Level III wage for your metro area before you enter salary discussions.
Document your CRM and systems experience precisely
H-1B specialty occupation approval depends on demonstrating the role requires specialized, degree-level knowledge. Listing specific platforms, analytical frameworks, and cross-functional scope in your resume helps your employer's attorney build a stronger I-129 petition.
H-1B Visa Sales Operations Lead: Frequently Asked Questions
Does a Sales Operations Lead role qualify as an H-1B specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as business administration, operations management, or information systems. The employer must document that the role involves complex, specialized work beyond general sales support. Job descriptions that emphasize CRM architecture, revenue forecasting, and cross-functional process design strengthen the specialty occupation argument considerably.
How do I find employers who actively sponsor H-1B visas for Sales Operations roles?
Migrate Mate surfaces employers with verified H-1B LCA filing history filtered by occupation, so you can see which companies have filed for operations and sales roles specifically. This is more reliable than inferring sponsorship willingness from job postings, which often omit or misstate visa sponsorship policies.
Can I transfer my H-1B to a new employer if I'm already in a Sales Operations role?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new I-129 petition is filed, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days. The new employer files the transfer petition and a new LCA reflecting the new role and location.
What happens to my H-1B status if my Sales Operations Lead role is reclassified or restructured?
A material change in job duties, title, or work location requires your employer to file an amended I-129 petition with USCIS before the change takes effect. Moving from an individual contributor role to a management scope, or shifting primary work location to a new metro area, both typically trigger an amendment obligation under USCIS guidance.
Which industries sponsor H-1B visas most consistently for Sales Operations Leads?
SaaS companies, enterprise software vendors, financial technology firms, and large healthcare technology organizations sponsor H-1B visas for Sales Operations Leads with the most consistency. These sectors rely heavily on CRM systems, revenue operations infrastructure, and data-driven sales processes, which align directly with the specialty occupation degree requirement USCIS applies to this role type.