About this role
Establishing how the marketing team makes decisions with data forms the core of daily operations in this foundational position. The person in this role will build data models connecting acquisition, engagement, activation, product usage, and revenue while designing dashboards and tools for internal teams. Working directly alongside demand generation, field marketing, product marketing, finance, engineering, and other departments, the individual stitches together activities and outcomes across the entire funnel.
Baseten powers mission-critical inference for dynamic artificial intelligence companies and is expanding rapidly after raising a recent Series F funding round. The company needs its first dedicated marketing analytics hire to manage growing ad spend, campaigns, and inbound traffic. Candidates who excel here possess strong quantitative skills, enjoy hands-on data modeling, and want to help build the platform engineers use to ship artificial intelligence products.
What you will do
- Define how marketing success is measured by establishing metrics across audience growth, acquisition, activation, engagement, usage, pipeline, and revenue.
- Build the marketing data foundation by ingesting and modeling information across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product, and third-party sources.
- Create a medallion architecture that connects prospect and customer journeys across systems from first touch through signup, onboarding, activation, and expansion.
- Develop audience and segmentation frameworks based on customer attributes, intent, engagement, and product behavior.
- Own lifecycle marketing analytics by measuring performance across web, email, in-product touchpoints, and identifying opportunities to improve user growth.
- Establish practical frameworks for understanding brand, awareness, and channel effectiveness using audience signals and downstream product behavior.
- Connect high-quality conversion and customer signals back into advertising platforms like Google Ads and LinkedIn, including offline conversions.
- Design and implement A/B experiments, incrementality testing, and multi-touch attribution to turn data into action.
What you need
- Bring over five years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role.
- Demonstrate deep SQL fluency and a track record of working with large, event-level datasets to answer ambiguous business questions.
- Connect data across marketing, CRM, web, SEO/AEO, and product systems to map out complete customer journeys.
- Utilize paid ad platforms such as Google, LinkedIn, and X to measure performance and optimize campaigns.
- Work hands-on with go-to-market and marketing systems including Salesforce, HubSpot, and Google Analytics.
- Build data pipelines and models using a modern data stack such as Airbyte, Fivetran, dbt, BigQuery, or Databricks.
- Operate comfortably with APIs, automation, and integration tools like n8n or Zapier.
Nice to have
- Experience with AI/ML products and familiarity with inference and training metrics
- Experience with usage-based products, developer platforms, or APIs
- Experience developing multi-touch attribution, incrementality measurement, or media mix models
- Experience implementing offline conversion pipelines or feeding first-party signals into advertising platforms
Benefits
- Competitive compensation, including meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
- Flexible PTO policy including company-wide Winter Break from Christmas Eve to New Year's Day
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k) (U.S. only)
Skills and tech stack
Questions candidates ask
What is the compensation and equity structure for this role?
The position offers a salary range between $200K and $240K alongside competitive compensation that includes meaningful equity.
Where is the job located?
This role is based in San Francisco.
What tools and technologies will I be working with?
You will work with a modern data stack that includes SQL, Salesforce, HubSpot, Google Analytics, Airbyte, Fivetran, dbt, BigQuery, Databricks, n8n, and Zapier.
What kind of team will I be collaborating with?
You will work directly with demand generation, field marketing, marketing operations, and product marketing, alongside GTM, finance, product, and engineering teams.