[Hiring] Senior Analytics Engineer @Prefect

Role Description

We sell two products with two funnels that behave nothing alike. Prefect Cloud and Dagster+ both start with someone running an open source tool on their laptop, and both end either in a self-serve credit card or in a sales conversation with a Fortune 500 data platform team. Between those two points sits our go-to-market data: product telemetry in Amplitude, the warehouse, Salesforce, campaign and channel spend, community signals, and an uncomfortable number of different systems and touch points.

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.
• Model the self-serve funnel end to end, from first visit through signup, activation, paid conversion, and expansion, for both Prefect Cloud and Dagster+. Make the drop-off points visible and the cohorts comparable.
• Model the sales funnel end to end, from source through MQL, SQL, pipeline, and closed won, including stage conversion and velocity, using Salesforce data as it actually is rather than as the schema claims.
• Build attribution that marketing and sales both accept.
• Build the unit economics.
• Ship the reporting layer so go-to-market teammates answer their own questions instead of queuing behind you.
• Help us set the go-to-market rhythm.

Qualifications

• Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control.
• Strong SQL, plus enough Python for the parts SQL is bad at: API pulls, spend data, one-off enrichment.
• Experience building and maintaining a semantic layer in Omni, Looker, or something comparable.
• Direct work with go-to-market teams on funnel conversion, attribution, and unit economics like CAC, payback, and ROI, using real CRM data from Salesforce or HubSpot.
• Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, Hubspot.
• A product-led or self-serve business: activation, trial conversion, PQLs, usage-based revenue.
• A background in engineering or data, meaning you write code, read other people's code, and deploy your own work.
• Comfort with AI-native development.

Requirements

• Product analytics tools, especially Amplitude.
• Developer tools or open source, where the funnel starts with a pip install and the top of it is a community rather than a lead list.

Who This Role Is Not For

• You want to do machine learning or data science.
• You expect clean data.
• You want to take tickets.
• You want to manage a team soon.

What You'll Get in Return

• 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
• Actual base salary within each range depends on the candidate's location, experience, and qualifications. Equity and benefits are not included in the range above.

Perks and Benefits

• Remote-first team with flexible-first culture
• Equity Stock Options
• 401(k) with 5% company match (vests immediately!)
• Unlimited PTO
• Medical, Dental and Vision insurance
• Generous Parental Leave
• Life Insurance and Disability benefits
• $800/month remote work stipend
• And that's just the start — for more info check out our benefits and perks on our careers page.

Belongingness at Prefect

Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community.

Equal Opportunity at Prefect

Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws.