TN Visa Business Operations Jobs
Business Operations roles qualify for TN visa sponsorship under the USMCA for Canadian and Mexican professionals in management analysis and related specialties. Unlike the H-1B lottery, Canadians can secure TN status at the port of entry with a job offer and supporting documents in hand.
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Get Access To All JobsThe Company:
Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility. We're producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We're not just seeking to change how our cars work – we're seeking to change the way we drive. At FF, we're creating something new, something connected, and something with a true global impact.
Your Role:
As Staff Engineer, AI & Business Operations, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an "information generation tool" to "executable business productivity," driving AI to play a deep role in the company's core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding data retrieval decision generation automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.
Key Responsibilities:
-
AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
-
Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
-
AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
-
AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data Insights Decisions Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
-
RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
-
Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
-
Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
-
Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.
Basic Qualifications:
-
Education: Bachelor's degree or above in Computer Science or a related field.
-
Experience: 7+ years of software engineering experience, including 2–3 years of experience with AI/LLM/Agent systems.
-
Backend Engineering: Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
-
Agent Development: Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
-
Retrieval & Search: Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
-
Systems Integration: Experience with API design, system integration, and distributed architecture.
-
Cloud Native: Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
-
Security: Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
-
Business Acumen: Ability to translate business problems into AI solutions.
-
Collaboration: Strong cross-functional communication and influence skills.
Preferred Qualifications:
-
OpenClaw Experience: Experience with OpenClaw or similar Agent / automated execution frameworks.
-
Enterprise AI Platform: Experience building enterprise-grade AI platforms or internal tooling platforms.
-
Business Systems: Experience with CRM, ERP, RevOps, or commercial systems.
-
AI + Data Platform: Experience combining AI with data platforms or BI systems.
-
Multi-Agent Orchestration: Familiarity with multi-Agent collaboration and complex workflow orchestration.
-
Business Impact: Proven track record of using AI to drive measurable improvements in business KPIs.
-
Enterprise AI Transformation: Experience leading enterprise AI transformation or scaling AI deployments.
-
IT / Infrastructure Automation: Experience with IT / infrastructure automation (API / SSH / network devices).
Salary Range:
($130K-$150K DOE) plus benefits and incentive plans
Perks + Benefits
-
Healthcare + dental + vision benefits (Free for you/discounted for family)
-
401(k) options
-
Casual dress code + relaxed work environment
Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The Company:
Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility. We're producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We're not just seeking to change how our cars work – we're seeking to change the way we drive. At FF, we're creating something new, something connected, and something with a true global impact.
Your Role:
As Staff Engineer, AI & Business Operations, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an "information generation tool" to "executable business productivity," driving AI to play a deep role in the company's core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding data retrieval decision generation automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.
Key Responsibilities:
-
AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
-
Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
-
AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
-
AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data Insights Decisions Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
-
RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
-
Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
-
Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
-
Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.
Basic Qualifications:
-
Education: Bachelor's degree or above in Computer Science or a related field.
-
Experience: 7+ years of software engineering experience, including 2–3 years of experience with AI/LLM/Agent systems.
-
Backend Engineering: Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
-
Agent Development: Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
-
Retrieval & Search: Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
-
Systems Integration: Experience with API design, system integration, and distributed architecture.
-
Cloud Native: Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
-
Security: Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
-
Business Acumen: Ability to translate business problems into AI solutions.
-
Collaboration: Strong cross-functional communication and influence skills.
Preferred Qualifications:
-
OpenClaw Experience: Experience with OpenClaw or similar Agent / automated execution frameworks.
-
Enterprise AI Platform: Experience building enterprise-grade AI platforms or internal tooling platforms.
-
Business Systems: Experience with CRM, ERP, RevOps, or commercial systems.
-
AI + Data Platform: Experience combining AI with data platforms or BI systems.
-
Multi-Agent Orchestration: Familiarity with multi-Agent collaboration and complex workflow orchestration.
-
Business Impact: Proven track record of using AI to drive measurable improvements in business KPIs.
-
Enterprise AI Transformation: Experience leading enterprise AI transformation or scaling AI deployments.
-
IT / Infrastructure Automation: Experience with IT / infrastructure automation (API / SSH / network devices).
Salary Range:
($130K-$150K DOE) plus benefits and incentive plans
Perks + Benefits
-
Healthcare + dental + vision benefits (Free for you/discounted for family)
-
401(k) options
-
Casual dress code + relaxed work environment
Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
See all 11,274+ Business Operations jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Operations roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Business Operations
Frame your credentials around management analysis
TN Business Operations roles are approved under the Management Consultant or Economist categories. Gather documentation showing your degree aligns with one of these designations before targeting employers, since the category determines which documents CBP will require.
Target employers with recent visa filing experience
Employers with recent visa filings demonstrate experience navigating work visa sponsorship. Prioritize operations, consulting, and financial services firms experienced with visa sponsorship over those with no sponsorship background.
Search TN-specific listings using Migrate Mate
Use Migrate Mate to filter Business Operations roles by TN visa sponsorship availability, so you're applying to employers who have already confirmed their openings qualify under USMCA professional categories rather than discovering that friction after an offer.
Clarify the job title before accepting an offer
CBP adjudicates TN petitions on job duties, not internal titles. If your offer letter says 'Operations Manager' but your duties are analytical, ask the employer to reframe the role description toward management analysis functions before you appear at the border.
Prepare a qualifying letter that maps duties to the TN category
Your employer's support letter must connect your specific Business Operations duties to the USMCA professional designation. Vague letters citing general oversight are a common denial trigger at Canadian ports of entry and consular appointments for Mexican nationals.
Understand the Mexican TN cap and plan your timeline accordingly
Mexican nationals have a 5,500 annual allocation for TN status, unlike Canadians who have no cap. If you're Mexican, file early in the fiscal year and confirm your employer is prepared to act quickly once an offer is extended.
Business Operations jobs are hiring across the US. Find yours.
Find Business Operations JobsBusiness Operations TN Visa: Frequently Asked Questions
What Business Operations roles qualify for a TN visa?
Business Operations professionals qualify under the TN Management Consultant or Economist categories defined by USMCA. Your specific duties must align with one of these designations, not just your job title. Roles focused on process improvement, operational strategy, and organizational efficiency typically qualify when supported by a degree in business, economics, or a related field.
How does the TN visa compare to H-1B for Business Operations professionals?
TN has no annual lottery, no cap for Canadians, and can be approved at the port of entry in a single day. H-1B requires employer sponsorship months in advance, an annual lottery with no guaranteed selection, and USCIS adjudication. For Business Operations roles that fit a qualifying USMCA category, TN is a faster and more predictable path than H-1B.
How do I find employers who sponsor TN visas for Business Operations jobs?
Use Migrate Mate to search Business Operations roles filtered specifically for TN visa sponsorship. This saves time by surfacing employers who have already confirmed their openings qualify under USMCA professional categories, rather than discovering sponsorship limitations after an interview process.
What documents do Canadian professionals need at the port of entry for a TN visa?
You'll need a valid Canadian passport, a detailed employer support letter describing your qualifying duties and TN category, proof of your educational credentials matching the designated category, and your job offer. CBP adjudicates on the spot, so all documents must clearly connect your role to the USMCA professional designation before you arrive.
Can a Mexican national get a TN visa for a Business Operations role, and is the process different?
Yes, Mexican nationals qualify under the same USMCA professional categories, but the process differs. Mexican nationals must apply at a U.S. consulate rather than at the port of entry, and the annual TN allocation for Mexico is capped at 5,500 per fiscal year. Applying early in the year reduces the risk of hitting that limit before your start date.
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