E-3 Visa Team Manager Jobs
Team Manager roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a directly related field, such as business administration or management. The E-3 has no lottery and no annual cap, making it a practical path for Australian professionals targeting leadership roles at U.S. employers.
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Get Access To All JobsINTRODUCTION
We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd.
We’re seeking a hands-on Manager for the AI and Data Science team. This role will manage a high-performing team dedicated to developing data-driven and AI-powered systems that significantly enhance our offensive security capabilities. Your primary focus (70%) will be on setting the technical direction, guiding the team in building scalable data pipelines, and training and deploying predictive models to solve complex cybersecurity challenges. This leadership role also includes mentoring and managing the team. This position is ideal for someone who excels in the technical execution of AI and Data engineering and is ready to lead the development of our next-generation, AI-driven preemptive cybersecurity product alongside a group of exceptional engineers.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Lead Technical Strategy & Execution: Define and drive the technical roadmap for AI, ML, and data systems, overseeing development, deployment, and operationalization to ensure robust performance, scalability, and direct alignment with key business strategy and requirements.
- Team Leadership & Mentorship: Lead, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical excellence, accountability, and continuous learning.
- AI/ML/Generative Systems Development: Direct the entire lifecycle—from design to deployment—of robust data pipelines, scalable model training, and innovative AI/ML applications. Focus on leveraging these systems to significantly boost analyst and hacker productivity across critical offensive security use cases.
- Model Development and Platform Integration: Guide the development, tuning, deployment, and MLOps of Machine Learning models for cybersecurity. Ensure secure and compliant integration of cutting-edge generative AI models (via platforms like AWS Bedrock, OpenAI, Anthropic) with internal APIs and sensitive security datasets.
- Data Architecture Governance: Architect, govern, and optimize large-scale, high-performance data pipelines essential for securely and efficiently processing massive vulnerability, asset, and activity datasets sourced from various environments.
- Security & Scalability Partnership: Collaborate closely with infrastructure teams to architect AI workloads and data pipelines that meet stringent requirements for security, efficiency, and scalability, particularly within multi-tenant and regulated environments (e.g., FedRAMP, SOC2).
- Cross-Functional Collaboration: Serve as the primary technical subject matter expert and liaison, partnering with security research, product, and platform teams to translate complex offensive security challenges into robust, data-driven automation and intelligence solutions.
- Continuous MLOps Improvement: Establish and manage best-in-class MLOps practices, including CI/CD pipelines, comprehensive evaluation frameworks, and robust monitoring/observability tools to ensure the continuous improvement and reliability of all data and AI systems.
- API Design & Integration: Oversee the design of robust, high-availability APIs and interfaces that facilitate seamless, scalable interaction between LLM agents and internal systems (such as the MCP server) for crucial tasks like search, data enrichment, and automated decision support.
EDUCATION, EXPERIENCE, KNOWLEDGE, SKILLS, AND ABILITIES
- 5+ years of experience in Data Science, ML Engineering, or Data Engineering, with 2+ years in a technical leadership or team lead role.
- Strong architectural understanding of LLM technologies, RAG architectures, prompt engineering, ML Ops, and secure API integration with AI systems. Master’s degree or higher in Computer Science, Information Systems, or a related quantitative field.
- Deep expertise with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks.
- Proven experience successfully leading a team to build and deploy end-to-end ML pipelines—from data ingestion to model deployment, monitoring, and MLOps.
- Ability to design, manage, and govern secure data architectures for large-scale, multi-tenant, and high-security environments.
- Excellent communication skills with a demonstrated ability to mentor engineers, influence technical direction, and present complex concepts to both technical and non-technical audiences.
PREFERRED EXPERIENCE
- Deep knowledge of offensive security workflows (bug bounty, vulnerability research, red teaming) and the associated datasets.
- Experience successfully deploying and operating AI solutions within regulated environments (FedRAMP, SOC2).
- Experience and knowledge of software security.
WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time.
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time.
PAY RANGE DISCLOSURE
At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.
The national estimate for the current base range for the position is: $137,600 - $212,850.
This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
CULTURE
At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work.
We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well.
Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point.
At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring.
DISCLAIMER
This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence.
The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).
Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law.
EQUAL EMPLOYMENT OPPORTUNITY:
Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com.
INTRODUCTION
We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd.
We’re seeking a hands-on Manager for the AI and Data Science team. This role will manage a high-performing team dedicated to developing data-driven and AI-powered systems that significantly enhance our offensive security capabilities. Your primary focus (70%) will be on setting the technical direction, guiding the team in building scalable data pipelines, and training and deploying predictive models to solve complex cybersecurity challenges. This leadership role also includes mentoring and managing the team. This position is ideal for someone who excels in the technical execution of AI and Data engineering and is ready to lead the development of our next-generation, AI-driven preemptive cybersecurity product alongside a group of exceptional engineers.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Lead Technical Strategy & Execution: Define and drive the technical roadmap for AI, ML, and data systems, overseeing development, deployment, and operationalization to ensure robust performance, scalability, and direct alignment with key business strategy and requirements.
- Team Leadership & Mentorship: Lead, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical excellence, accountability, and continuous learning.
- AI/ML/Generative Systems Development: Direct the entire lifecycle—from design to deployment—of robust data pipelines, scalable model training, and innovative AI/ML applications. Focus on leveraging these systems to significantly boost analyst and hacker productivity across critical offensive security use cases.
- Model Development and Platform Integration: Guide the development, tuning, deployment, and MLOps of Machine Learning models for cybersecurity. Ensure secure and compliant integration of cutting-edge generative AI models (via platforms like AWS Bedrock, OpenAI, Anthropic) with internal APIs and sensitive security datasets.
- Data Architecture Governance: Architect, govern, and optimize large-scale, high-performance data pipelines essential for securely and efficiently processing massive vulnerability, asset, and activity datasets sourced from various environments.
- Security & Scalability Partnership: Collaborate closely with infrastructure teams to architect AI workloads and data pipelines that meet stringent requirements for security, efficiency, and scalability, particularly within multi-tenant and regulated environments (e.g., FedRAMP, SOC2).
- Cross-Functional Collaboration: Serve as the primary technical subject matter expert and liaison, partnering with security research, product, and platform teams to translate complex offensive security challenges into robust, data-driven automation and intelligence solutions.
- Continuous MLOps Improvement: Establish and manage best-in-class MLOps practices, including CI/CD pipelines, comprehensive evaluation frameworks, and robust monitoring/observability tools to ensure the continuous improvement and reliability of all data and AI systems.
- API Design & Integration: Oversee the design of robust, high-availability APIs and interfaces that facilitate seamless, scalable interaction between LLM agents and internal systems (such as the MCP server) for crucial tasks like search, data enrichment, and automated decision support.
EDUCATION, EXPERIENCE, KNOWLEDGE, SKILLS, AND ABILITIES
- 5+ years of experience in Data Science, ML Engineering, or Data Engineering, with 2+ years in a technical leadership or team lead role.
- Strong architectural understanding of LLM technologies, RAG architectures, prompt engineering, ML Ops, and secure API integration with AI systems. Master’s degree or higher in Computer Science, Information Systems, or a related quantitative field.
- Deep expertise with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks.
- Proven experience successfully leading a team to build and deploy end-to-end ML pipelines—from data ingestion to model deployment, monitoring, and MLOps.
- Ability to design, manage, and govern secure data architectures for large-scale, multi-tenant, and high-security environments.
- Excellent communication skills with a demonstrated ability to mentor engineers, influence technical direction, and present complex concepts to both technical and non-technical audiences.
PREFERRED EXPERIENCE
- Deep knowledge of offensive security workflows (bug bounty, vulnerability research, red teaming) and the associated datasets.
- Experience successfully deploying and operating AI solutions within regulated environments (FedRAMP, SOC2).
- Experience and knowledge of software security.
WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time.
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time.
PAY RANGE DISCLOSURE
At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.
The national estimate for the current base range for the position is: $137,600 - $212,850.
This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
CULTURE
At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work.
We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well.
Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point.
At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring.
DISCLAIMER
This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence.
The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).
Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law.
EQUAL EMPLOYMENT OPPORTUNITY:
Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Team Manager
Align your degree to the role
U.S. consular officers assess whether your bachelor's degree directly supports the Team Manager position. A degree in business administration, organizational management, or a related field strengthens your case far more than a general credential.
Target employers with existing LCA history
Search the DOL's Foreign Labor Certification disclosure data for employers who have filed Labor Condition Applications for management roles. These employers already understand the E-3 process and won't need to be educated from scratch during negotiations.
Frame sponsorship early in conversations
Raise your E-3 status before final-round interviews, not after an offer. Most HR teams don't know the E-3 is exclusive to Australians with no lottery, so your explanation often removes the perceived risk before it becomes an objection.
Get your employment offer documented precisely
Your offer letter must specify the role title, duties, and that a bachelor's degree is required. Vague language like 'preferred' instead of 'required' can create problems at the consulate when the officer evaluates specialty occupation status.
Use Migrate Mate's E-3 filing service for the LCA step
The Labor Condition Application must be DOL-certified before your consulate appointment. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the timeline between offer acceptance and your interview stays as short as possible.
Prepare for nonimmigrant intent scrutiny
Team Manager applicants married to U.S. citizens or with prior immigrant visa applications face additional consular scrutiny. Bring documentation showing Australian ties, such as property ownership, superannuation statements, or family connections, to support your nonimmigrant intent.
Team Manager jobs are hiring across the US. Find yours.
Find Team Manager JobsTeam Manager E-3 Visa: Frequently Asked Questions
How do I find Team Manager jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Team Manager roles where employers are open to E-3 sponsorship. The platform filters opportunities by visa type so you're not wading through listings from employers who won't sponsor. Because the E-3 requires a job offer before you can file, finding the right employer is the critical first step.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Team Manager role qualify as a specialty occupation for the E-3?
It depends on how the role is defined. A Team Manager position qualifies when the employer's job description requires a bachelor's degree in a specific field, such as business administration or management, as a minimum entry requirement. Roles where any degree satisfies the requirement, regardless of field, are harder to support at the consulate. The position's actual duties and industry context matter as much as the title.
How does the E-3 compare to the H-1B for Team Manager roles?
The E-3 has no annual lottery and no cap on available visas, so an Australian professional with a qualifying offer doesn't face the random selection risk that H-1B applicants do. Processing is handled at an Australian consulate rather than through USCIS, which is typically faster. The trade-off is that E-3 eligibility is limited to Australian citizens, so the employer pool that knows the visa is smaller than for H-1B.
Can I change employers or get promoted while on an E-3 as a Team Manager?
Changing employers requires your new employer to file a fresh LCA and have it DOL-certified before you begin work. A promotion within the same company is generally fine if the core duties and specialty occupation classification remain consistent, but a significant role change, such as moving from Team Manager to a director-level position with different degree requirements, may need a new LCA to reflect the updated job description.
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