Technical Product Manager, Data

Orbital; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Fairground is looking for a Product Manager to own the data platform roadmap end to end, including ingestion, enrichment, matching, and data models. You will align the warehouse, CRM, and products, turning ambiguous data problems into buildable projects and ruthlessly prioritizing a large backlog to deliver high-impact data capabilities.

You will drive the data quality feedback loop, evaluate third-party data vendors, and balance build-vs-buy decisions while collaborating with engineering,

Qualifications

• 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 trade-offs with engineers.
• A track record of shipping as roadmaps become built.
• Strong instincts for data quality and entity resolution at scale.
• Experience with third-party data vendors or enrichment is a plus.
• Autonomy in a fast-moving, early-stage environment.
• Bonus: B2B GTM / sales-tech domain experience.

Responsibilities

• Own the data platform roadmap end to end — ingestion, enrichment, matching, 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 fix process
• Evaluate and manage third-party data and enrichment vendors — coverage, quality, cost, and build-vs-buy decisions
• Monitor cost levers: AI and enrichment spend impacting COGS and roadmap trade-offs
• Partner with engineering, design, and GTM to ship and connect customer needs to pipeline delivery

Skills

Product management

Data platforms

Data quality

Stakeholder management

Technical fluency

Job description

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.