Baseten

Baseten

Marketing Analytics Manager

San Francisco · Senior

Sponsorship not specifiedDetected 44 days ago
SQLBigQueryMachine LearningSparkdbtData EngineeringData ScienceSEOGoogle AdsMarketing AnalyticsHubSpotSalesforceGoogle AnalyticsCRMResearch

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data.
  • more spend, more campaigns, more model launches and more inbound.
  • This is a foundational, hands-on role and the first dedicated Marketing Analytics hire.

Responsibilities

  • 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.
  • Architect the building blocks that turn data into action: design and implement A/B experiments, incrementality testing and multi-touch attribution.
  • We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital.
  • Join us and help build the platform engineers turn to ship AI products.
  • You'll build the data models that connect acquisition, engagement, activation, product usage and revenue.

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
  • Comfort working with APIs, automation and integration tools such as n8n or Zapier.

Nice to have

  • 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 implementing offline conversion pipelines or feeding first-party conversion and customer signals into advertising platforms.

Compensation

  • Competitive compensation, including meaningful equity

Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 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
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
  • 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.
  • 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.

Company info

  • At Baseten, we are committed to fostering a diverse and inclusive workplace.
  • Along the way, you'll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve.
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This listing is sourced directly from Baseten's careers page and normalized into a canonical job model.