E-3 Visa Marketing Analytics Manager Jobs
Marketing Analytics Manager roles in the U.S. require a bachelor's degree in a quantitative field, making them a strong fit for E-3 visa sponsorship. The E-3 has no lottery and renews indefinitely in two-year increments, giving Australian analytics professionals a stable, long-term path into U.S. marketing and data teams.
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Get Access To All JobsAbout Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel. You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve.
Responsibilities
- Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue.
- Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources.
- Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion.
- Understand our audiences: develop audience and segmentation frameworks based on customer attributes, intent, engagement and product behavior.
- Own lifecycle marketing analytics: measure performance across web, email, in product and other lifecycle touchpoints. Identify opportunities to improve the journey from acquisition and signup through onboarding and growth.
- Measure awareness and channel impact: establish practical frameworks for understanding brand, awareness and channel effectiveness using audience signals, engagement and downstream product behavior.
- Improve marketing activation and optimization: connect high-quality conversion and customer signals back into platforms such as Google Ads and LinkedIn, including offline conversions.
- Architect the building blocks that turn data into action: design and implement A/B experiments, incrementality testing and multi-touch attribution.
Requirements
- 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role, ideally supporting B2B, developer-focused, API, or usage-based products.
- Deep SQL fluency and strong analytical skills, with a track record of working with large, event-level datasets and turning ambiguous business questions into decision-ready analysis.
- Ability to connect data across marketing, CRM, web, SEO/AEO and product systems to understand customer journeys.
- Experience with paid ad platforms such as Google, LinkedIn and X; how to measure performance and optimize.
- Hands-on with GTM and marketing systems such as Salesforce, HubSpot, and Google Analytics.
- Experience building data pipelines and models with a modern data stack such as Airbyte, Fivetran, dbt, BigQuery and/or Databricks.
- Comfort working with APIs, automation and integration tools such as n8n or Zapier.
Preferred Qualifications
- Experience with AI/ML products and familiarity with inference and training metrics, including how technical product usage can inform customer lifecycle measurement and customer value.
- Experience with usage-based products, developer platforms or APIs.
- Experience developing multi-touch attribution, incrementality measurement, media mix models or other approaches for understanding Marketing's contribution across a complex customer journey.
- Experience implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising platforms.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!).
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $200K - $240K
About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel. You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve.
Responsibilities
- Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue.
- Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources.
- Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion.
- Understand our audiences: develop audience and segmentation frameworks based on customer attributes, intent, engagement and product behavior.
- Own lifecycle marketing analytics: measure performance across web, email, in product and other lifecycle touchpoints. Identify opportunities to improve the journey from acquisition and signup through onboarding and growth.
- Measure awareness and channel impact: establish practical frameworks for understanding brand, awareness and channel effectiveness using audience signals, engagement and downstream product behavior.
- Improve marketing activation and optimization: connect high-quality conversion and customer signals back into platforms such as Google Ads and LinkedIn, including offline conversions.
- Architect the building blocks that turn data into action: design and implement A/B experiments, incrementality testing and multi-touch attribution.
Requirements
- 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role, ideally supporting B2B, developer-focused, API, or usage-based products.
- Deep SQL fluency and strong analytical skills, with a track record of working with large, event-level datasets and turning ambiguous business questions into decision-ready analysis.
- Ability to connect data across marketing, CRM, web, SEO/AEO and product systems to understand customer journeys.
- Experience with paid ad platforms such as Google, LinkedIn and X; how to measure performance and optimize.
- Hands-on with GTM and marketing systems such as Salesforce, HubSpot, and Google Analytics.
- Experience building data pipelines and models with a modern data stack such as Airbyte, Fivetran, dbt, BigQuery and/or Databricks.
- Comfort working with APIs, automation and integration tools such as n8n or Zapier.
Preferred Qualifications
- Experience with AI/ML products and familiarity with inference and training metrics, including how technical product usage can inform customer lifecycle measurement and customer value.
- Experience with usage-based products, developer platforms or APIs.
- Experience developing multi-touch attribution, incrementality measurement, media mix models or other approaches for understanding Marketing's contribution across a complex customer journey.
- Experience implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising platforms.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents.
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!).
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $200K - $240K
See all E-3 Visa Marketing Analytics Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Marketing Analytics Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Marketing Analytics Manager
Frame your degree field precisely
E-3 visa eligibility requires your degree to directly relate to analytics or marketing. A statistics, economics, or information systems degree maps cleanly. A general business degree needs supporting documentation showing a direct connection to the analytical duties in your job description.
Target companies with analytics infrastructure
Retailers, SaaS platforms, and media companies with dedicated data teams file LCAs regularly and understand E-3 mechanics. Prioritise roles where analytics is a core function, not a shared responsibility, so your specialty occupation case is straightforward from the start.
Translate Australian credentials for U.S. hiring managers
Your three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Flag this upfront with the hiring manager so sponsorship conversations don't stall on a credentials misunderstanding before reaching HR.
Confirm LCA prevailing wage before accepting an offer
Your employer files a Labor Condition Application with the DOL certifying your offered salary meets the prevailing wage for your role and location. Review the DOL's wage data for your metro area before you accept, so there are no surprises during LCA certification.
Use Migrate Mate's E-3 filing service for end-to-end preparation
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA filing, visa paperwork, and consulate appointment preparation. Analytics Manager roles span multiple SOC codes, and getting the classification right on the LCA matters for a clean application.
Prepare a portfolio of measurable campaign or revenue outcomes
Consular officers assess whether your role genuinely requires specialised knowledge. Documented results tied to specific analytical methodologies, such as attribution modelling, incrementality testing, or forecasting frameworks, strengthen the specialty occupation argument beyond your job title alone.
E-3 Visa Marketing Analytics Manager: Frequently Asked Questions
How do I find Marketing Analytics Manager jobs with E-3 visa sponsorship?
Migrate Mate lists Marketing Analytics Manager roles from U.S. employers who are open to E-3 sponsorship, so you're not cold-filtering generic job boards. Roles are matched to E-3 eligibility criteria, which means you can focus on positions where the specialty occupation requirement and degree-field connection are already a reasonable fit for this role.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Marketing Analytics Manager role qualify as a specialty occupation for the E-3?
Yes, in most cases. The E-3 requires the position to normally require a bachelor's degree or higher in a specific field. Marketing Analytics Manager roles that require quantitative analysis, statistical modelling, or data-driven strategy typically qualify when the job description specifies a degree in statistics, economics, marketing analytics, or a related discipline. Generic marketing roles without an analytical focus carry more risk.
How does the E-3 compare to the H-1B for Marketing Analytics Manager roles?
The E-3 is available year-round with no lottery, so you can start the process as soon as you have a job offer. The H-1B visa requires registration in March for an October start date, and selection is not guaranteed. For Australian nationals in analytics roles, the E-3 is a faster and more predictable path, with the same specialty occupation standard applying to both visas.
Can I change employers or get promoted while on an E-3 as a Marketing Analytics Manager?
Changing employers requires your new employer to file a fresh LCA with the DOL and obtain a new E-3 visa before you start. A promotion within the same company that changes your job duties significantly may also require an updated LCA. Plan for a processing gap of several weeks when switching roles, and confirm your current visa validity before making a move.