Vectra AI Visa Sponsorship Jobs USA
Vectra AI is an AI-driven cybersecurity company known for its network detection and response platform. It sponsors permanent residency pathways, making it a realistic target for skilled foreign nationals in technical and engineering roles who are looking for long-term stability in the U.S.
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Vectra AI is transforming cybersecurity through AI-driven threat detection and response. Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities.
The Opportunity
We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up.
People and Organizational Leadership
- Build, grow, and mentor high-performing engineering teams across multiple geographies.
- Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment.
- Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work.
- Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work.
Cross-Functional Leadership
- Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams.
- Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership.
- Partner with customer-facing teams to understand evolving data requirements and scaling challenges.
- Influence company-wide direction around data, AI, and platform capabilities.
Execution and Operational Excellence
- Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed.
- Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives.
- Own production operations, incident management, and continuous improvement.
- Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health.
Technical Strategy and Platform Direction
- Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects.
- Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams.
- Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure.
- Champion the use of AI to improve engineering productivity, software delivery, and incident response.
What You'll Bring
Required
- 10+ years of software engineering experience, including 5+ years leading engineering organizations.
- Proven track record building and operating large-scale data platforms in production.
- Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems.
- Champion the use of AI to improve engineering productivity, software delivery, and incident response.
- Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem.
- Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure.
- Operational mindset: SRE principles, incident response, and a culture of reliability.
- Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving.
Preferred
- Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains.
- Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP.
- Background in real-time detection systems or streaming analytics.
What Success Looks Like
- A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use.
- Faster time-to-production for analytics, detections, and AI-powered applications.
- Reduced time from telemetry ingestion to model experimentation and deployment.
- High-performing teams with strong leadership pipelines and a culture people want to stay in.
- Industry-leading infrastructure supporting both advanced detections and autonomous security operations.
Why This Role Matters
Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead. You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible.
Director of Engineering – Data Platform
Vectra AI is transforming cybersecurity through AI-driven threat detection and response. Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities.
The Opportunity
We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up.
People and Organizational Leadership
- Build, grow, and mentor high-performing engineering teams across multiple geographies.
- Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment.
- Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work.
- Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work.
Cross-Functional Leadership
- Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams.
- Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership.
- Partner with customer-facing teams to understand evolving data requirements and scaling challenges.
- Influence company-wide direction around data, AI, and platform capabilities.
Execution and Operational Excellence
- Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed.
- Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives.
- Own production operations, incident management, and continuous improvement.
- Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health.
Technical Strategy and Platform Direction
- Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects.
- Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams.
- Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure.
- Champion the use of AI to improve engineering productivity, software delivery, and incident response.
What You'll Bring
Required
- 10+ years of software engineering experience, including 5+ years leading engineering organizations.
- Proven track record building and operating large-scale data platforms in production.
- Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems.
- Champion the use of AI to improve engineering productivity, software delivery, and incident response.
- Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem.
- Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure.
- Operational mindset: SRE principles, incident response, and a culture of reliability.
- Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving.
Preferred
- Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains.
- Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP.
- Background in real-time detection systems or streaming analytics.
What Success Looks Like
- A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use.
- Faster time-to-production for analytics, detections, and AI-powered applications.
- Reduced time from telemetry ingestion to model experimentation and deployment.
- High-performing teams with strong leadership pipelines and a culture people want to stay in.
- Industry-leading infrastructure supporting both advanced detections and autonomous security operations.
Why This Role Matters
Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead. You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible.
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Get Access To All JobsTips for Finding Vectra AI Visa Sponsorship Jobs USA
Target technical and engineering roles
Vectra AI's sponsorship activity is concentrated in technical disciplines aligned with its cybersecurity platform. Focus your applications on software engineering, data science, and security research roles where the company has a clear history of supporting foreign national employees.
Understand the Green Card pathway Vectra AI uses
Vectra AI has sponsored permanent residency through EB-2 and EB-3 classifications. If long-term U.S. residency is your goal, ask recruiters early about their Green Card sponsorship process, typical timelines, and whether the company supports both categories.
Be upfront about your OPT or TN status
Vectra AI has sponsored F-1 OPT and TN visa holders, so disclosing your current status early in the process works in your favor. Recruiters familiar with these pathways will assess fit more efficiently when they know your authorization type upfront.
Position yourself around Vectra AI's core product areas
Vectra AI builds AI-powered threat detection tools. Candidates with backgrounds in machine learning, network security, cloud infrastructure, or threat intelligence are best aligned with the technical roles most likely to receive sponsorship consideration at the company.
Research verified sponsorship history before applying
Not every cybersecurity company sponsors visas consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Vectra AI's track record before investing time in an application or interview process.
Prepare for a technically rigorous hiring process
Vectra AI is a product-led cybersecurity company competing at the enterprise level. Expect multiple technical rounds focused on depth of knowledge. Arriving well-prepared signals you're a strong hire worth the investment sponsorship requires from the company's side.
Frequently Asked Questions
Does Vectra AI sponsor H-1B visas?
Based on available sponsorship records, Vectra AI has not recently filed H-1B visa petitions. Its sponsorship activity has been focused on permanent residency through EB-2 and EB-3 Green Card categories, as well as F-1 OPT and TN visa holders. If H-1B visa sponsorship is a requirement for you, it is worth asking the recruiter directly about their current policy during the interview process.
What visa types does Vectra AI sponsor?
Vectra AI sponsors EB-2 and EB-3 Green Cards for permanent residency, and has supported workers on F-1 OPT and TN visas. This makes the company a viable option for recent graduates on OPT, Canadian and Mexican nationals on TN status, and professionals seeking a long-term permanent residency pathway in the United States.
Which departments or roles at Vectra AI are most likely to receive visa sponsorship?
Sponsorship at Vectra AI is most closely associated with technical roles in software engineering, machine learning, and cybersecurity. These disciplines sit at the core of Vectra AI's network detection and response platform. Candidates applying for roles requiring specialized technical expertise are generally better positioned to receive sponsorship support than those in non-technical functions.
How do I find open roles at Vectra AI that offer visa sponsorship?
Migrate Mate lists open positions at verified sponsoring employers, including Vectra AI, so you can search by visa type and confirm sponsorship eligibility before applying. This saves time compared to applying broadly and discovering sponsorship limitations late in the hiring process. Filter by Green Card or OPT-friendly roles to narrow your search to positions that match your current status.
How do I approach the application timeline when targeting a Green Card sponsor like Vectra AI?
Green Card sponsorship through EB-2 or EB-3 involves multiple stages: PERM labor certification, I-140 petition filing, and priority date waiting periods that vary by country of birth. The process can take years, so starting conversations about sponsorship intent early in your job search matters. Joining a company like Vectra AI with an established Green Card track record is a strong first step, but aligning your expectations with the full timeline is equally important.