Revenue Enablement Manager Visa Sponsorship Jobs in California
Revenue enablement manager roles in California are concentrated in San Francisco, San Jose, and Los Angeles, where technology companies like Salesforce, Adobe, and ServiceNow regularly hire for this function. These positions sit at the intersection of sales operations and training, making them a strong fit for H-1B visa sponsorship given their specialized degree requirements.
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Get Access To All JobsINTRODUCTION
Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.
ABOUT THE ROLE
Most companies are experimenting with AI in their GTM motion. We are not experimenting. We are building an AI-native revenue organization from scratch, and this is the person who leads that build.
Samba TV's core product is knowing what the world watches, in real time, at scale, across a billion consented devices. The Revenue team should be the most data-intelligent sales org in the industry, with our own data as the unfair advantage. Right now, it is not fully there yet. Your job is to close that gap.
There is a massive amount of signal available across our GTM stack. Gong call transcripts, Salesforce pipeline data, Snowflake viewership tables, Slack conversations, inbound intent signals, People AI data, calendar events, Hubspot leads, renewal timelines. Almost none of it is connected in a way that actually helps a seller do their job better. This role exists to change that. You will build the systems that tie those signals together, eliminate the manual thrashing that slows our team down, and create throughput where there is currently friction.
Claude is our primary AI platform across the Revenue Org. We need someone who is not just a power user but an expert who can architect reliable production systems, train others, and push what is possible in a GTM context. If you have been waiting to work somewhere that treats AI as infrastructure rather than a feature, this is the role.
What You’ll Do
GTM systems architecture and automation
- Design and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data assets into unified, real-time GTM workflows
- Build and maintain MCP (Model Context Protocol) servers that give Claude governed, real-time access to our GTM stack, including live Salesforce records, Gong call data, and Samba viewership signals
- Eliminate manual data transfer and context-switching for sellers by automating the aggregation, summarization, and routing of deal intelligence across tools
- Create RAG pipelines and prompt libraries that give Claude accurate, governed context on our products, prospects, pricing, and competitive landscape
- Architect integrations between AI services and internal systems using Python and APIs, enriching contact and account records with live signals
Evals, reliability, and continuous improvement
- Design and run structured evals across all production AI systems: measure output quality, accuracy, regression risk, and real business impact, not just vibes
- Build eval frameworks that catch prompt drift, model behavior changes, and degraded tool use before they hit sellers in production
- Run A/B experiments across workflows to prove what is actually moving pipeline and revenue, not just what looks good in demos
- Monitor agentic systems in production and own the feedback loop: what broke, why, and what the fix is
- Be the internal authority on Claude across the Revenue Org: best practices, MCP architecture, prompt engineering standards, and enablement
- Write documentation and run enablement sessions so sellers and operators extract real value from every system you ship
Signal integration across the sales org
- Build systems that automatically surface deal risk, flag renewal exposure, draft personalized outreach, and score accounts by conversion likelihood using real viewership signals
- Connect Gong call intelligence, Salesforce pipeline data, and Samba TV audience signals into a unified account view that sellers can act on without digging through five tools
- Design workflow automation that reduces the cognitive load on sellers so they spend more time selling and less time updating CRM fields, hunting for context, or writing the same email for the 40th time
- Identify the highest-friction points in our GTM process and systematically eliminate them through automation
Who You Are
- 3 to 5 years in software engineering, data engineering, or GTM/revenue operations engineering with serious technical depth
- You have owned an AI or automation function, not just contributed to one
- Production-level Python and/or JavaScript; you write, ship, and maintain code others depend on
- Hands-on LLM production experience: prompt engineering, tool use, multi-turn agentic workflows, RAG
- Experience building and operating MCP servers that connect LLMs to live business systems and data sources
- A real eval practice: you know how to measure whether an AI system is working, build regression tests, and catch drift before it causes problems
- Deep, production-level Claude expertise including the API, structured outputs, tool use, agentic workflows, and system prompt design; you can also teach it and build reliable systems around it
- Hands-on experience with Claude Code as a primary development environment
- Salesforce hands-on (SOQL, APIs, Flows) plus at least one sales engagement platform, preferably Gong
- Snowflake and dbt working knowledge for querying and transforming data to support AI workflows
- Genuine understanding of sales pipeline mechanics: forecasting, deal inspection, pipeline hygiene, ABM
- Comfortable in both a command line and a boardroom; you move between implementation and executive conversation without losing either audience
Nice to have
- Azure (data services, API management) and Power BI
- Slack API and workflow automation (Bolt framework or similar)
- AdTech, media measurement, or data-driven intelligence background
- LLM orchestration frameworks: LangChain, LlamaIndex, LangGraph
- MLOps experience: eval infrastructure at scale, drift monitoring, inference cost management
- Prior experience at a high-growth data or media company
COMPENSATION
- Salary Range: $175,000 - $215,000 a year
Base salary: $175,000 to $215,000 for roles in San Francisco or New York. Actual offer depends on location, experience, and performance.
Base is one component. Total compensation includes equity, performance bonus, and long-term incentives. We also provide health insurance, wellness offerings, life and disability coverage, 401(k), a learning and development stipend, paid holidays, and PTO.
LOCATION
San Francisco, California
Commercial – Sales Operations (S&M) / US Full-time Salaried / On-site
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.
ABOUT THE ROLE
Most companies are experimenting with AI in their GTM motion. We are not experimenting. We are building an AI-native revenue organization from scratch, and this is the person who leads that build.
Samba TV's core product is knowing what the world watches, in real time, at scale, across a billion consented devices. The Revenue team should be the most data-intelligent sales org in the industry, with our own data as the unfair advantage. Right now, it is not fully there yet. Your job is to close that gap.
There is a massive amount of signal available across our GTM stack. Gong call transcripts, Salesforce pipeline data, Snowflake viewership tables, Slack conversations, inbound intent signals, People AI data, calendar events, Hubspot leads, renewal timelines. Almost none of it is connected in a way that actually helps a seller do their job better. This role exists to change that. You will build the systems that tie those signals together, eliminate the manual thrashing that slows our team down, and create throughput where there is currently friction.
Claude is our primary AI platform across the Revenue Org. We need someone who is not just a power user but an expert who can architect reliable production systems, train others, and push what is possible in a GTM context. If you have been waiting to work somewhere that treats AI as infrastructure rather than a feature, this is the role.
What You’ll Do
GTM systems architecture and automation
- Design and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data assets into unified, real-time GTM workflows
- Build and maintain MCP (Model Context Protocol) servers that give Claude governed, real-time access to our GTM stack, including live Salesforce records, Gong call data, and Samba viewership signals
- Eliminate manual data transfer and context-switching for sellers by automating the aggregation, summarization, and routing of deal intelligence across tools
- Create RAG pipelines and prompt libraries that give Claude accurate, governed context on our products, prospects, pricing, and competitive landscape
- Architect integrations between AI services and internal systems using Python and APIs, enriching contact and account records with live signals
Evals, reliability, and continuous improvement
- Design and run structured evals across all production AI systems: measure output quality, accuracy, regression risk, and real business impact, not just vibes
- Build eval frameworks that catch prompt drift, model behavior changes, and degraded tool use before they hit sellers in production
- Run A/B experiments across workflows to prove what is actually moving pipeline and revenue, not just what looks good in demos
- Monitor agentic systems in production and own the feedback loop: what broke, why, and what the fix is
- Be the internal authority on Claude across the Revenue Org: best practices, MCP architecture, prompt engineering standards, and enablement
- Write documentation and run enablement sessions so sellers and operators extract real value from every system you ship
Signal integration across the sales org
- Build systems that automatically surface deal risk, flag renewal exposure, draft personalized outreach, and score accounts by conversion likelihood using real viewership signals
- Connect Gong call intelligence, Salesforce pipeline data, and Samba TV audience signals into a unified account view that sellers can act on without digging through five tools
- Design workflow automation that reduces the cognitive load on sellers so they spend more time selling and less time updating CRM fields, hunting for context, or writing the same email for the 40th time
- Identify the highest-friction points in our GTM process and systematically eliminate them through automation
Who You Are
- 3 to 5 years in software engineering, data engineering, or GTM/revenue operations engineering with serious technical depth
- You have owned an AI or automation function, not just contributed to one
- Production-level Python and/or JavaScript; you write, ship, and maintain code others depend on
- Hands-on LLM production experience: prompt engineering, tool use, multi-turn agentic workflows, RAG
- Experience building and operating MCP servers that connect LLMs to live business systems and data sources
- A real eval practice: you know how to measure whether an AI system is working, build regression tests, and catch drift before it causes problems
- Deep, production-level Claude expertise including the API, structured outputs, tool use, agentic workflows, and system prompt design; you can also teach it and build reliable systems around it
- Hands-on experience with Claude Code as a primary development environment
- Salesforce hands-on (SOQL, APIs, Flows) plus at least one sales engagement platform, preferably Gong
- Snowflake and dbt working knowledge for querying and transforming data to support AI workflows
- Genuine understanding of sales pipeline mechanics: forecasting, deal inspection, pipeline hygiene, ABM
- Comfortable in both a command line and a boardroom; you move between implementation and executive conversation without losing either audience
Nice to have
- Azure (data services, API management) and Power BI
- Slack API and workflow automation (Bolt framework or similar)
- AdTech, media measurement, or data-driven intelligence background
- LLM orchestration frameworks: LangChain, LlamaIndex, LangGraph
- MLOps experience: eval infrastructure at scale, drift monitoring, inference cost management
- Prior experience at a high-growth data or media company
COMPENSATION
- Salary Range: $175,000 - $215,000 a year
Base salary: $175,000 to $215,000 for roles in San Francisco or New York. Actual offer depends on location, experience, and performance.
Base is one component. Total compensation includes equity, performance bonus, and long-term incentives. We also provide health insurance, wellness offerings, life and disability coverage, 401(k), a learning and development stipend, paid holidays, and PTO.
LOCATION
San Francisco, California
Commercial – Sales Operations (S&M) / US Full-time Salaried / On-site
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Revenue Enablement Manager Job Roles in California
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Search Revenue Enablement Manager Jobs in CaliforniaRevenue Enablement Manager Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for revenue enablement managers?
Large enterprise software and SaaS companies are the most active sponsors for revenue enablement manager roles in California. Salesforce, Adobe, Oracle, ServiceNow, and Workday have established sponsorship programs and regularly hire for enablement functions. Larger organizations tend to have dedicated immigration teams, which makes the sponsorship process more structured and predictable for candidates than working with smaller companies.
Which visa types are most common for revenue enablement manager roles in California?
The H-1B is the most common visa for revenue enablement managers in California. The role typically requires a bachelor's degree in business, marketing, or a related field, which supports the specialty occupation classification that H-1B petitions require. Candidates already in the U.S. on OPT or STEM OPT often pursue H-1B sponsorship through employers in this role. The L-1A is another pathway for managers transferring from a multinational employer's foreign office.
Which cities in California have the most revenue enablement manager sponsorship jobs?
San Francisco and San Jose account for the largest concentration of revenue enablement manager sponsorship opportunities in California, driven by the density of enterprise SaaS companies headquartered in the Bay Area. Los Angeles is a growing market, particularly in ad tech, fintech, and media-adjacent software companies. San Diego has a smaller but active cluster tied to life sciences software and defense-adjacent technology firms.
How to find revenue enablement manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, which saves significant time compared to manually screening postings for revenue enablement manager roles across California. You can filter by state and role type to surface employers who have an active history of sponsoring work visas in this function. Given that not all companies advertise sponsorship willingness upfront, using a platform built around sponsorship data is the most direct approach for international candidates.
Are there any California-specific considerations for revenue enablement manager visa sponsorship?
California's prevailing wage requirements under H-1B regulations apply at the county level, and Bay Area prevailing wages for business and operations roles are among the highest in the country. Employers must certify on the Labor Condition Application that they will pay at least the prevailing wage for the specific work location. California also prohibits non-compete agreements, which can affect how enablement roles are structured, though this generally does not impact visa eligibility itself.
What is the prevailing wage for sponsored revenue enablement manager 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.