P
$154,000 – $222,000
Listed on Prefect’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role owns the analytics and data modeling for go-to-market at a company with two competing products and two distinct sales paths, building funnels, attribution, and unit economics that let marketing and sales answer their own questions. It suits someone who has shipped production dbt models for PLG and self-serve businesses, speaks SQL and Python, and thrives untangling messy CRM and product telemetry data to frame strategy instead of execute specs.
Our summary, not Prefect’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- Four or more years building and maintaining analytics models in dbt on a cloud warehouse with tests, CI, and version control
- Strong SQL and Python for data enrichment and API pulls
- Experience building and maintaining a semantic layer in Omni, Looker, or equivalent
- Direct experience modeling go-to-market funnels, conversion, attribution, and unit economics like CAC, payback, and ROI with real CRM data
- Familiarity with GTM systems including Salesforce, Amplitude, Segment, or HubSpot
- Experience with product-led or self-serve business models, including activation, trial conversion, and usage-based metrics
- Background in engineering or data with ability to write, read, and deploy code
- Comfort working with AI-native development
Nice to have
- Product analytics tools experience, especially Amplitude
- Background in developer tools or open source communities