SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Baseten is hiring a Marketing Analytics Manager to establish data-driven decision-making across the marketing organization. This is a foundational, hands-on role as the first dedicated marketing analytics hire at a rapidly scaling company that powers mission-critical inference for leading AI companies like Cursor, Notion, and Abridge. Recently raised $1.5B in Series F funding.
You will define how marketing success is measured across the entire funnel—from audience growth and acquisition through activation, engagement, product usage, and revenue. You'll build the marketing data foundation by ingesting and modeling data from Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product, and third-party sources. Your work will create a medallion architecture connecting prospect and customer journeys across systems, from first touch through signup, onboarding, activation, and expansion.
Key responsibilities include establishing metrics across audience growth, acquisition, activation, engagement, usage, pipeline, and revenue; developing audience and segmentation frameworks based on customer attributes, intent, engagement, and product behavior; owning lifecycle marketing analytics across web, email, in-product, and other touchpoints; measuring brand awareness and channel effectiveness; improving marketing activation by connecting conversion signals back into Google Ads and LinkedIn; and architecting A/B experiments, incrementality testing, and multi-touch attribution.
You'll work directly with Demand Gen, Field Marketing, MOps, and Product Marketing, alongside GTM, Finance, Product, and Engineering teams. This role requires 5+ years in marketing analytics, growth analytics, product analytics, data science, or similar quantitative roles, ideally supporting B2B, developer-focused, API, or usage-based products. Deep SQL fluency, strong analytical skills, and experience with large event-level datasets are essential. You must understand how to connect data across marketing, CRM, web, SEO, and product systems; have hands-on experience with paid ad platforms (Google, LinkedIn, X); and be proficient with modern data stack tools (Airbyte, Fivetran, dbt, BigQuery, Databricks). Preferred qualifications include experience with AI/ML products, usage-based products, developer platforms, multi-touch attribution, and offline conversion pipelines.
