Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking an experienced Engineering Lead to join our Inference API team. In this role, you will lead a new team dedicated to helping evolve our Inference APIs to enable a state of the art inference stack. You will help ship enterprise-level features, align on evolving API formats, and help improve specific modalities (audio, OCR, etc).
You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities
What You Will Do
Remove obstacles and create an environment where your team can focus on building solutions.
Translate product vision into technical reality, collaborating closely with the Product team.
Ensure applications are performant, stable, and responsive.
Uphold high code quality standards through reviews, testing, and automation.
Own the full software development process, from design to deployment.
Plan projects, including roadmaps, deadlines, and task allocation.
Collaborate with stakeholders across Engineering, Product, and Design.
Support team growth through hiring, onboarding, and mentorship.
What We're Looking For
Experience building and managing engineering teams.
Proficiency in Python and at least one web framework (FastAPI, Django, Flask).
Proficiency in C#, Golang, TypeScript and at least one web framework.
Experience with large-scale distributed systems.
Experience working with cross-functional teams, such as Product, Design, and Business.
Knowledge of databases, caching mechanisms, and messaging systems.
Strong problem-solving abilities and attention to detail.
Ownership mindset and ability to ship products end-to-end.
Excellent communication skills and a low-ego, team-first attitude.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our .
Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines.
You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters.
What You Will Do
Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments.
Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops.
Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks.
Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters.
Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets.
Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures.
Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines.
What We're Looking For
4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads.
Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues).
Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems.
High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases.
Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker).
Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads.
Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our .
Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines.
You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters.
What You Will Do
Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments.
Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops.
Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks.
Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters.
Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets.
Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures.
Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines.
What We're Looking For
4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads.
Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues).
Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems.
High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases.
Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker).
Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads.
Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our .
Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Head of Analyst Relations
LOCATION
New York; Palo Alto; San Francisco
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Hybrid
DEPARTMENT
Marketing
Overview
Application
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking a Head of Analyst Relations to build and lead Mistral's global Analyst Relations program.
This is a foundational leadership role responsible for shaping how the world's most influential industry analysts understand Mistral, our products, and our long-term vision. We are establishing a new AI category, private AI for mission-critical use. And we are giving customers ownership of their AI with open weights, powerful tools to control and connect the AI, and the ability to deploy it wherever they want, from edge to cloud to dedicated sovereign hosting. Our analyst partners will help create this category, explain its importance, and guide the customers that need it. We need you to help them help us!
You will serve as a strategic advisor to executives and partner closely with Marketing, Communications, Product, Sales, and Leadership to ensure Mistral is positioned effectively across the analyst ecosystem.
You will own relationships with firms such as Gartner, IDC, Forrester, Futurum, Moor Insights, Constellation, and more to help establish Mistral as a category-defining company in artificial intelligence.
This role reports into the CMO and works closely with the executive leadership team.
What You'll Do
Develop and execute Mistral's global Analyst Relations program.
Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software.
Shape and influence analyst perceptions of Mistral's products, vision, and market position.
Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions.
Partner with Product Marketing to craft differentiated messaging and category narratives.
Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports.
Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams.
Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes.
Build and scale the Analyst Relations function as Mistral continues its global expansion.
What We're Looking For
10+ years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies. Experience in AR and other marketing or product disciplines is preferred.
Deep understanding of the analyst ecosystem and experience managing relationships with leading firms.
Experience supporting high-growth B2B technology or AI organizations.
Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership.
Comfortable operating in a fast-paced, high-growth environment with a high degree of autonomy.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Apply for this Job
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Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Head of Analyst Relations
LOCATION
New York; Palo Alto; San Francisco
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Hybrid
DEPARTMENT
Marketing
Overview
Application
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
We are seeking a Head of Analyst Relations to build and lead Mistral's global Analyst Relations program.
This is a foundational leadership role responsible for shaping how the world's most influential industry analysts understand Mistral, our products, and our long-term vision. We are establishing a new AI category, private AI for mission-critical use. And we are giving customers ownership of their AI with open weights, powerful tools to control and connect the AI, and the ability to deploy it wherever they want, from edge to cloud to dedicated sovereign hosting. Our analyst partners will help create this category, explain its importance, and guide the customers that need it. We need you to help them help us!
You will serve as a strategic advisor to executives and partner closely with Marketing, Communications, Product, Sales, and Leadership to ensure Mistral is positioned effectively across the analyst ecosystem.
You will own relationships with firms such as Gartner, IDC, Forrester, Futurum, Moor Insights, Constellation, and more to help establish Mistral as a category-defining company in artificial intelligence.
This role reports into the CMO and works closely with the executive leadership team.
What You'll Do
Develop and execute Mistral's global Analyst Relations program.
Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software.
Shape and influence analyst perceptions of Mistral's products, vision, and market position.
Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions.
Partner with Product Marketing to craft differentiated messaging and category narratives.
Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports.
Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams.
Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes.
Build and scale the Analyst Relations function as Mistral continues its global expansion.
What We're Looking For
10+ years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies. Experience in AR and other marketing or product disciplines is preferred.
Deep understanding of the analyst ecosystem and experience managing relationships with leading firms.
Experience supporting high-growth B2B technology or AI organizations.
Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership.
Comfortable operating in a fast-paced, high-growth environment with a high degree of autonomy.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Apply for this Job
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Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Research Engineer, Data Infrastructure
LOCATION
Palo Alto; San Francisco
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Hybrid
DEPARTMENT
Engineering & Infra
Overview
Application
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability.
You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.
What You Will Do
• Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems
• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
• Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.
• Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.
• Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient.
What We're Looking For
• Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Have experience or a strong interest in supporting foundational compute and storage platforms.
• Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
• Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
• Take pride in building and operating scalable, reliable, and secure systems from the ground up.
• Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Apply for this Job
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Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
AI Deployment Strategist
LOCATION
Marseille
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Hybrid
DEPARTMENT
Solutions
Overview
Application
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What You Will Do
Strategic Discovery & Vision Setting
• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
AI Solution Design & Deployment
• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.
• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment.
What We're Looking For
• 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
• Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
• Executive presence and communication skills to influence senior stakeholders (VP, C-level).
• Hands on experience building and deploying AI applications (Python)
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Apply for this Job
Powered by
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Listed by Mistral AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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