Customer Success Engineering Visa Sponsorship Jobs in California
Customer success engineering roles in California are concentrated in the San Francisco Bay Area and Los Angeles, where companies like Salesforce, Okta, Databricks, and Zendesk regularly hire internationally. California's density of enterprise SaaS and cloud infrastructure firms makes it one of the most active states for visa-sponsored technical customer-facing roles.
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level.
The Role
We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities.
Responsibilities & Focus Areas:
Technical Execution & Consumption Activation:
- Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
Product Feedback & Cross-Functional Collaboration:
- Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- Participate in Communities of Practice and support knowledge-sharing initiatives across the team
Team Leadership & Development:
- Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
On day one we will expect you to have:
- 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 2+ years of people management experience, preferably leading technical overlay or specialist teams
- Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
About Our Team
Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone.
Why Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $276,000 - $362,250. The estimated base salary for this role is $207,000 - $271,688.
- Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level.
The Role
We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities.
Responsibilities & Focus Areas:
Technical Execution & Consumption Activation:
- Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
Product Feedback & Cross-Functional Collaboration:
- Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- Participate in Communities of Practice and support knowledge-sharing initiatives across the team
Team Leadership & Development:
- Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
On day one we will expect you to have:
- 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 2+ years of people management experience, preferably leading technical overlay or specialist teams
- Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
About Our Team
Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone.
Why Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $276,000 - $362,250. The estimated base salary for this role is $207,000 - $271,688.
- Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Customer Success Engineering Job Roles in California
See all 341+ Customer Success Engineering Jobs in California
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Search Customer Success Engineering Jobs in CaliforniaCustomer Success Engineering Jobs in California: Frequently Asked Questions
Which companies sponsor visas for customer success engineers in California?
Enterprise SaaS and cloud technology companies are the most consistent sponsors. Salesforce, Google, Okta, Databricks, Zendesk, ServiceNow, and Snowflake have all filed H-1B Labor Condition Applications for customer success engineering roles in California. Larger organizations with established HR and legal infrastructure are generally more experienced with the sponsorship process than early-stage startups, though well-funded growth-stage companies also sponsor regularly.
Which visa types are most common for customer success engineering roles in California?
The H-1B is the most common visa category for customer success engineers in California, as the role typically requires a bachelor's degree in computer science, engineering, or a related technical field, meeting the specialty occupation standard. Candidates already holding O-1 or L-1 status through multinational transfers also appear regularly in California's tech market. TN visas are an option for Canadian and Mexican nationals where the role qualifies under the USMCA treaty categories.
Which cities in California have the most customer success engineering sponsorship jobs?
The San Francisco Bay Area, including San Francisco, San Jose, and the broader Silicon Valley corridor, accounts for the majority of customer success engineering sponsorship activity in California. Los Angeles is a secondary hub, particularly in enterprise software and media technology. San Diego has a smaller but growing presence, largely tied to cybersecurity and life sciences software companies that hire technical customer success talent.
How to find customer success engineering visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to identify California-based customer success engineering roles where employers are actively open to sponsoring. Because sponsorship willingness is not always stated on general job postings, Migrate Mate's focused filtering saves significant time. Searching by role type and state lets you surface relevant openings from enterprise SaaS, cloud infrastructure, and platform companies concentrated in the Bay Area and Los Angeles.
Are there any California-specific considerations for customer success engineering sponsorship candidates?
California's prevailing wage requirements under H-1B rules are among the highest in the country, reflecting the state's elevated cost of living and competitive tech compensation market. Employers must certify on the Labor Condition Application that they will pay at least the prevailing wage for the role and location. For candidates, this generally means sponsored positions in California come with compensation benchmarked to local market rates, which are set by the Department of Labor using metropolitan area data.
What is the prevailing wage for sponsored customer success engineering 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.
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