Senior Analytics Engineer - Prefect

About Prefect

Prefect builds automation for an unpredictable world. In August 2026, Prefect and Dagster joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration.

Role Summary

You will own the analytics and data modeling for GTM that describe how someone gets from first touch to activated user to paying customer, across both self-serve and sales. You will report to Gabriel Madureira, our Chief Growth Officer, and work day to day with marketing, sales, RevOps, and product.

What You'll Do

• Own the go-to-market data model: One definition of an account, an activated workspace, and pipeline, version controlled, tested, documented, and deployed by you.
• Model the self-serve funnel end to end: From first visit through signup, activation, paid conversion, and expansion, for both Prefect Cloud and Dagster+.
• Model the sales funnel end to end: From source through MQL, SQL, pipeline, and closed won using Salesforce data.
• Build attribution: First touch, last touch, and multi-touch models.
• Build unit economics: CAC and payback by channel and segment, LTV/CAC, and ROI on campaigns and events.
• Ship the reporting layer: Enable go-to-market teammates to answer their own questions using Omni.
• Help set the GTM rhythm: Pipeline reviews, weekly funnel meetings, and board reporting.

Your Qualifications

Must have

• 4+ years building analytics models in dbt on a cloud warehouse with tests, CI, and version control.
• Strong SQL, plus Python for API pulls, spend data, and data enrichment.
• Experience building and maintaining a semantic layer in Omni, Looker, or equivalent.
• Direct work with GTM teams on funnel conversion, attribution, and unit economics using CRM data from Salesforce or HubSpot.
• Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, and Hubspot.
• Experience with product-led or self-serve businesses.
• Background in engineering or data with code deployment experience.
• Comfort with AI-native development.

Nice to have

• Product analytics tools, especially Amplitude.
• Developer tools or open source background.

Compensation & Benefits

• Base Salary Ranges:
  • San Francisco Bay Area & NYC Metro: $173,000–$222,000
  • Washington D.C., Boston, LA Metro, Seattle: $162,000–$201,000
  • Denver, Chicago, Atlanta, & all other U.S. metros: $154,000–$200,000
• Equity Stock Options
• 401(k) with 5% company match (vests immediately)
• Unlimited PTO
• Medical, Dental, and Vision insurance
• Generous Parental Leave
• $800/month remote work stipend