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

• 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.