About Fairground
Fairground is a B2B GTM data platform. We ingest, enrich, and structure millions of company and contact records across verticals, and turn them into reliable go-to-market signal inside our products. Data is the product — and how well we build the pipeline behind it is the business.
Why this role exists
Right now our data work — ingestion, enrichment, vertical expansion, quality — is spread across engineers with no single owner defining what to build or in what order. This role owns that. You'll be the person who turns a backlog of data projects into a sequenced, shipped roadmap, and who makes sure engineering builds the right thing the first time.
This is a high-leverage hire: the projects you unblock touch nearly every workflow in the product.
What you'll do
Own the data platform roadmap end to end — ingestion, enrichment, matching, vertical data models, and the sync between our warehouse, CRM, and products
Turn ambiguous data problems into fully-specced, buildable projects
Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why
Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process to fix it
Evaluate and manage third-party data and enrichment vendors — coverage, quality, cost — and make build-vs-buy calls
Keep an eye on the cost side: AI and enrichment spend is a growing driver of COGS, and roadmap decisions move that number
Partner tightly with engineering, design, and GTM to ship — and be the connective tissue between what customers need and what the pipeline can deliver
What we're looking for
5+ years in product management, with real depth on data products, data infrastructure, or technical/platform PM work
Technical fluency: you can read a schema, reason about pipelines and data models, and hold your own with engineers on trade-offs
A track record of shipping, turning messy, ambiguous problem spaces into sequenced roadmaps that get built
Strong instincts for data quality and entity resolution: what "good data" means and how to defend it at scale
Experience with third-party data vendors or enrichment is a strong plus
Comfort operating with high autonomy in a fast-moving, early-stage environment
Bonus: B2B GTM / sales-tech domain experience
Why Fairground
You'll own the roadmap for the layer that is the company. It's the highest-leverage seat on the product team — what you unblock ripples across the entire platform. High ownership, direct customer and revenue impact, and a team moving fast.
Skills Required
- 5+ years in product management with depth on data products, data infrastructure, or technical/platform PM work
- Technical fluency: read schemas, reason about pipelines and data models, discuss engineering trade-offs
- Proven track record of shipping and turning ambiguous problem spaces into sequenced roadmaps
- Strong instincts for data quality and entity resolution at scale
- Experience with third-party data vendors or enrichment
- Comfort operating with high autonomy in a fast-moving, early-stage environment
- B2B GTM / sales-tech domain experience
What We Do
Orbital is an AI-powered sales intelligence platform designed for GTM teams to discover, score, and activate small and midsize business (SMB) leads. By collecting niche, high-signal data from unconventional sources, the platform enables sales teams to identify and engage with SMBs that are often invisible to traditional databases. Orbital streamlines the sales motion, allowing teams to move faster and more effectively without the complexity of legacy solutions.
