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Описание вакансии
Текст:
TL;DR
Marketing Analytics Manager (AI): Building the data foundation, models, dashboards, and measurement systems that connect marketing activity to product usage, pipeline, and revenue with an accent on customer journey analytics, lifecycle performance, and channel effectiveness. Focus on designing medallion architecture, integrating marketing and product systems, implementing A/B and incrementality testing, and developing multi-touch attribution.
Location: San Francisco, hybrid
Salary: $200,000–$240,000 per year plus equity
Company
Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies bring machine learning models into production.
What you will do
- Define marketing success metrics across audience growth, acquisition, activation, engagement, product usage, pipeline, and revenue.
- Build the marketing data foundation by ingesting and modeling data from Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product, and third-party sources.
- Create a medallion architecture connecting prospect and customer journeys from first touch through signup, onboarding, activation, and expansion.
- Develop audience segmentation frameworks using customer attributes, intent, engagement, and product behavior.
- Own lifecycle marketing analytics across web, email, in-product, and other touchpoints, identifying opportunities to improve acquisition, onboarding, and growth.
- Design A/B experiments, incrementality testing, multi-touch attribution, and offline conversion pipelines to improve marketing activation and optimization.
Requirements
- 5+ years of experience in marketing analytics, growth analytics, product analytics, data science, or another quantitative role.
- Deep SQL fluency and experience analyzing large event-level datasets and converting ambiguous business questions into actionable analysis.
- Ability to connect marketing, CRM, web, SEO/AEO, and product data to understand customer journeys.
- Experience measuring and optimizing paid advertising across Google, LinkedIn, and X.
- Hands-on experience with Salesforce, HubSpot, Google Analytics, APIs, automation, and integration tools such as n8n or Zapier.
- Experience building pipelines and data models with modern data-stack tools such as Airbyte, Fivetran, dbt, BigQuery, or Databricks.
Nice to have
- Experience with AI/ML products, inference and training metrics, usage-based products, developer platforms, or APIs.
- Experience with multi-touch attribution, incrementality measurement, media mix models, or complex customer-journey measurement.
- Experience feeding first-party customer signals and offline conversions into advertising platforms.
Culture & Benefits
- Competitive compensation with meaningful equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
- Paid parental leave and a fertility and family-building stipend through Carrot.
- Company-facilitated 401(k) and exposure to a variety of ML startups.
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