Operations Visa Sponsorship Jobs in California
California's scale makes it one of the most active states for operations visa sponsorship, with major employers like Amazon, Apple, Google, and Tesla hiring across supply chain, logistics, and business operations. Opportunities concentrate in the Bay Area, Los Angeles, and the Inland Empire, where distribution networks and tech campuses drive consistent demand for operations professionals.
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Intuit is the global financial technology platform that powers prosperity for over 100 million consumers and businesses across TurboTax, Credit Karma, QuickBooks, and Mailchimp. Behind that promise sits Intuit Customer Success (ICS) — the organization that connects tens of thousands of experts to customers at the moments that matter most.
We are looking for a Director, Expert Network Operations to own end-to-end planning and workforce operations for ICS. This leader is accountable for turning ~$1.5B in annual service spend and a network of 40,000+ experts into the right capacity, in the right place, at the right time — across both our Small Business (GBSG) and Consumer segments, and across peak events that can double service demand in a single day.
This is not a traditional staffing role. We are rebuilding WFM as an AI-native, autonomous operating capability: forecasting, capacity, scheduling, and intraday decisions increasingly driven by models rather than manual effort. You will lead a global organization of 45+ FTE and 50+ CWs across the U.S. and India — including data scientists and business analysts— and partner across Product, Engineering, Finance, and Service Delivery to build a Workforce Management Center of Excellence for the enterprise.
Responsibilities
- Own the full planning stack — long-range capacity, annual and quarterly operating plans, peak/seasonal planning, scheduling, and real-time/intraday management — for a multi-segment, multi-geography expert network.
- Set the forecasting and capacity strategy end to end: demand and volume forecasting, supply modeling, occupancy and shrinkage optimization, and routing decisions that balance customer experience against cost.
- Lead the shift from manual WFM to autonomous operations — partnering with Product and Technology to embed predictive and prescriptive models into the planning and intraday decision loop, and to instrument the outcomes those models drive.
- Own the WFM P&L lens at ~$1.5B scale: quantify trade-offs between service level, cost, and expert experience, and translate them into decisions leadership can act on.
- Drive the growth of Services business for Intuit through leveraging the expert operations at the optimal cost structure.
- Run the operating cadence — planning cycles, business reviews, and peak readiness — with clear risks, dependencies, and outcomes surfaced to VP/SVP stakeholders.
- Build and scale the WFM Center of Excellence: consolidate fragmented planning and operations into one platform, one data model, and one set of standards across segments.
- Lead, grow, and develop a global org across the U.S. and India, including an India-based command center; build the bench and raise the analytical and AI fluency of the team.
- Partner cross-functionally with Service Delivery, Finance, Product, Engineering, and HR to align capacity plans to business goals and to remove friction between highly technical and operational teams.
Qualifications
Planning and operations leadership at scale
- 10+ years of progressive experience in workforce management, capacity planning, operations strategy, or a related field, including experience leading large, global teams in a complex, scaled operating environment.
- Demonstrated ownership of enterprise-scale service operations — ideally $1B+ in spend and/or thousands of frontline experts — across multiple geographies and lines of business.
- Deep expertise running operating cadences (planning cycles, business reviews, peak readiness) for a scaled business unit.
Advanced quantitative and modeling capability
- Fluency in applying advanced scientific and statistical methods — forecasting, predictive and prescriptive modeling, optimization — to enable data-backed decisions at scale, and the judgment to know which method fits which problem.
- Track record of moving operations from manual, reactive execution toward model-driven, autonomous decisioning — and of measurably improving forecast accuracy, occupancy, and routing outcomes.
- Ability to set the technical direction for a WFM data and modeling stack and to hold a team accountable to it, without needing to build every model yourself.
AI-native strategy and measurement
- Proven ability to drive strategy, execution, and insight for AI-native operating capabilities across their full lifecycle — ideation, discovery, experimentation, and scaling — rather than treating AI as a bolt-on.
- Rigor in measurement and experiment design: defining the metrics that prove whether a capability is working, and designing the tests that isolate its impact.
- Strong partnership instincts with Product and Engineering to co-create and scale these capabilities, including shaping how humans and models share the decision.
Strategic thinking, systems thinking, and influence
- Strong strategic and systems thinking — the ability to see how forecasting, scheduling, routing, cost, and customer experience interact, and to solve the whole system rather than a local symptom.
- Executive presence and the ability to influence VP/SVP-level decisions through clear, credible data storytelling — distilling complex data into a small number of decisions leadership can make.
- Ability to build trust, challenge courageously, and drive alignment across functions with competing priorities.
People and change leadership
- A builder of teams and capabilities: you have led, developed, and grown managers and individual contributors, and raised the analytical and AI fluency of an organization.
- Skill in leading organizational change — formulating a clear change plan, communicating with impact, and bringing an operations community along through transformation.
Education
- Bachelor's degree in an analytical or technical discipline required; advanced degree (MBA or quantitative master's) preferred.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
San Diego $278,000 - $376,000
Overview
Intuit is the global financial technology platform that powers prosperity for over 100 million consumers and businesses across TurboTax, Credit Karma, QuickBooks, and Mailchimp. Behind that promise sits Intuit Customer Success (ICS) — the organization that connects tens of thousands of experts to customers at the moments that matter most.
We are looking for a Director, Expert Network Operations to own end-to-end planning and workforce operations for ICS. This leader is accountable for turning ~$1.5B in annual service spend and a network of 40,000+ experts into the right capacity, in the right place, at the right time — across both our Small Business (GBSG) and Consumer segments, and across peak events that can double service demand in a single day.
This is not a traditional staffing role. We are rebuilding WFM as an AI-native, autonomous operating capability: forecasting, capacity, scheduling, and intraday decisions increasingly driven by models rather than manual effort. You will lead a global organization of 45+ FTE and 50+ CWs across the U.S. and India — including data scientists and business analysts— and partner across Product, Engineering, Finance, and Service Delivery to build a Workforce Management Center of Excellence for the enterprise.
Responsibilities
- Own the full planning stack — long-range capacity, annual and quarterly operating plans, peak/seasonal planning, scheduling, and real-time/intraday management — for a multi-segment, multi-geography expert network.
- Set the forecasting and capacity strategy end to end: demand and volume forecasting, supply modeling, occupancy and shrinkage optimization, and routing decisions that balance customer experience against cost.
- Lead the shift from manual WFM to autonomous operations — partnering with Product and Technology to embed predictive and prescriptive models into the planning and intraday decision loop, and to instrument the outcomes those models drive.
- Own the WFM P&L lens at ~$1.5B scale: quantify trade-offs between service level, cost, and expert experience, and translate them into decisions leadership can act on.
- Drive the growth of Services business for Intuit through leveraging the expert operations at the optimal cost structure.
- Run the operating cadence — planning cycles, business reviews, and peak readiness — with clear risks, dependencies, and outcomes surfaced to VP/SVP stakeholders.
- Build and scale the WFM Center of Excellence: consolidate fragmented planning and operations into one platform, one data model, and one set of standards across segments.
- Lead, grow, and develop a global org across the U.S. and India, including an India-based command center; build the bench and raise the analytical and AI fluency of the team.
- Partner cross-functionally with Service Delivery, Finance, Product, Engineering, and HR to align capacity plans to business goals and to remove friction between highly technical and operational teams.
Qualifications
Planning and operations leadership at scale
- 10+ years of progressive experience in workforce management, capacity planning, operations strategy, or a related field, including experience leading large, global teams in a complex, scaled operating environment.
- Demonstrated ownership of enterprise-scale service operations — ideally $1B+ in spend and/or thousands of frontline experts — across multiple geographies and lines of business.
- Deep expertise running operating cadences (planning cycles, business reviews, peak readiness) for a scaled business unit.
Advanced quantitative and modeling capability
- Fluency in applying advanced scientific and statistical methods — forecasting, predictive and prescriptive modeling, optimization — to enable data-backed decisions at scale, and the judgment to know which method fits which problem.
- Track record of moving operations from manual, reactive execution toward model-driven, autonomous decisioning — and of measurably improving forecast accuracy, occupancy, and routing outcomes.
- Ability to set the technical direction for a WFM data and modeling stack and to hold a team accountable to it, without needing to build every model yourself.
AI-native strategy and measurement
- Proven ability to drive strategy, execution, and insight for AI-native operating capabilities across their full lifecycle — ideation, discovery, experimentation, and scaling — rather than treating AI as a bolt-on.
- Rigor in measurement and experiment design: defining the metrics that prove whether a capability is working, and designing the tests that isolate its impact.
- Strong partnership instincts with Product and Engineering to co-create and scale these capabilities, including shaping how humans and models share the decision.
Strategic thinking, systems thinking, and influence
- Strong strategic and systems thinking — the ability to see how forecasting, scheduling, routing, cost, and customer experience interact, and to solve the whole system rather than a local symptom.
- Executive presence and the ability to influence VP/SVP-level decisions through clear, credible data storytelling — distilling complex data into a small number of decisions leadership can make.
- Ability to build trust, challenge courageously, and drive alignment across functions with competing priorities.
People and change leadership
- A builder of teams and capabilities: you have led, developed, and grown managers and individual contributors, and raised the analytical and AI fluency of an organization.
- Skill in leading organizational change — formulating a clear change plan, communicating with impact, and bringing an operations community along through transformation.
Education
- Bachelor's degree in an analytical or technical discipline required; advanced degree (MBA or quantitative master's) preferred.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
San Diego $278,000 - $376,000
Operations Job Roles in California
See all 2,185+ Operations Jobs in California
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Search Operations Jobs in CaliforniaOperations Jobs in California: Frequently Asked Questions
Which companies sponsor visas for operations roles in California?
Amazon, Apple, Google, Meta, and Tesla are among the most active sponsors for operations roles in California, particularly for supply chain, logistics, and business operations functions. Large healthcare systems like Kaiser Permanente and Sutter Health also sponsor for operations positions. Manufacturing and semiconductor firms, including Broadcom and Applied Materials in the Bay Area, regularly file for operations professionals.
Which visa types are most common for operations roles in California?
The H-1B visa is the most common visa for operations roles that require a bachelor's degree in a specific field, such as industrial engineering, supply chain management, or business analytics. Operations analysts and process engineers tend to qualify most consistently. Some roles also see L-1B transfers for employees moving within multinational companies, particularly in technology and manufacturing firms headquartered in California.
Which cities in California have the most operations sponsorship jobs?
The San Francisco Bay Area leads for operations roles tied to technology companies, with demand concentrated in San Jose, Sunnyvale, and Mountain View. Los Angeles is strong for entertainment, logistics, and healthcare operations. The Inland Empire, particularly Ontario and Riverside, is one of the country's largest warehousing and distribution hubs, generating significant demand for operations management and supply chain roles.
How to find operations visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for operations roles in California without sifting through postings from employers who don't sponsor. You can narrow results by location and role type to focus on supply chain, logistics, or business operations positions. Employers listed on Migrate Mate have active sponsorship histories, which saves significant time in your search.
Are there any California-specific considerations for operations visa sponsorship?
California's prevailing wage requirements under Department of Labor rules mean employers must pay sponsored workers at or above the prevailing wage for the specific operations role and location, and wages in the Bay Area and Los Angeles tend to be among the highest in the country. California also has strict worker classification laws, so roles must be clearly defined as full-time direct employment to support a standard H-1B petition.
What is the prevailing wage for sponsored operations jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.