[Hiring] Senior Forward Deployed Engineer @ZoomInfo

Role Description

ZoomInfo is building its Forward Deployed Engineering function. You will help define how it operates — how engagements run, what the deliverables are, how the playbook works, what scales and what doesn't. The support structure exists (data team, product team, infrastructure, executive sponsorship); what's needed is someone who brings it to life in front of customers and helps turn early wins into a repeatable model.

As an FDE, you embed directly with ZoomInfo's strategic accounts — large enterprises with complex data needs, often in financial services, insurance, technology, and other globally distributed industries. You work alongside their teams to understand their go-to-market challenges, then help design and deliver bespoke intelligence applications that combine ZoomInfo's third-party data with the customer's first-party data to drive real business outcomes.

You own your engagements end-to-end: from discovery through deployment, from stakeholder presentations through production code. You'll work closely with our data and product teams (and alongside more senior FDEs on larger accounts) to bring the full breadth of ZoomInfo's data foundation to bear — company intelligence, contact data, buying signals, intent data, and specialized vertical datasets — assembled into purpose-built applications tailored to each customer's specific personas and workflows.

ZoomInfo has one of the deepest go-to-market data foundations in the world — 500M+ professional profiles, 100M+ company records, intent signals, vertical datasets spanning financial filings, insurance, commercial fleet, and more. You'll have access to incredible data, powerful infrastructure, and exposure to our most important customer relationships. What you build with them — and how you build it — will help define the model going forward.

What Engagements Typically Look Like

• Entity resolution at scale — reconciling legal entity hierarchies (D&B, tax IDs, company-house registrations) with how customers actually go to market.
• Hierarchy management — enforcing one-to-one matching across regions, fixing parent-child linkage gaps, dispositioning orphaned accounts, surfacing white space on top of clean parent IDs.
• Location-level precision — moving customers off monolithic HQ-level enrichment so geo-based sales teams see local firmographics instead of global rollups.
• Automated, no-human-in-the-loop logic — entity suppression, disposition-based matching, orchestration rules for inactive entities, parent linkages, and white space alerts.
• Data warehouse as the operating layer — moving sophisticated analysis out of CRM into Snowflake or BigQuery.
• Buying group filtering — applying persona-density criteria across hierarchies to turn a customer's 5,600 Disney legal entities into 31 actionable targets.

Two recent engagements as concrete reference points

• A global infrastructure customer brought us 1.8M records and 300K flagged as "unmatched," with a data team of one. An automated domain validation pipeline reframed the problem entirely.
• An enterprise planning platform had 120K Salesforce accounts, broken hierarchies, and field leaders reporting near-zero confidence in their enrichment data. Custom disposition logic on a 10K-account priority sample produced 7,444 high-confidence matches at 98–99% accuracy.

What You'll Build

Every engagement comprises a consistent service architecture — three pillars built on top of each other, and five capability areas assembled into the actual deliverable.

Three pillars:

• Data Foundation — golden reference matching, persistent IDs, unified entity profiles across the customer's first-party systems.
• Data Management — business-specific logic that turns the foundation into something the customer can actually go to market with.
• Activation — TAM to SAM to SOM, fit scoring, in-market signals.

Five capability areas:

• Data Foundation Development — Match every record across the customer's systems to a golden reference dataset.
• Account Architecture & Entity Resolution — Define what an account means for the customer's business and build automated logic that enforces that structure.
• TAM Development & White Space Discovery — Build the customer's complete addressable market against ICP criteria.
• Account Fit Scoring & In-Market Signals — Build custom fit models from historical win/loss patterns.
• Ongoing Governance & Automation — Match orchestration rules, enrichment segmentation, and warehouse integration.

What You'll Do

• Own Strategic Customer Engagements End-to-End — Serve as a primary technical point of contact for assigned strategic accounts.
• Bridge Technical and Business Audiences — Present to customer stakeholders and synthesize complex go-to-market data needs into clear proposals.
• Contribute to the FDE Playbook — Document what works and help extract what's repeatable from each new account.
• Drive Stickiness and Expansion — Help identify expansion opportunities as they emerge.

Qualifications

• High Ownership, Comfort with Ambiguity — You take ownership of your workstreams and can operate effectively even where process doesn't yet exist.
• Strong Software and Data Engineering Fundamentals — Proficient in Python and SQL, and comfortable working in cloud data warehouses.
• Customer-Facing Communication — Experience working directly with customers in a technical capacity.
• Go-to-Market Data Familiarity (Preferred) — Experience with B2B data, CRM systems, and enrichment tooling.

Why This Role

• Driving data consumption and growth across ZoomInfo's strategic accounts is a top company priority.
• Enterprise customer access — You'll be embedded with market-leading GTM organizations.
• Best-in-class data and infrastructure — Access to ZoomInfo's data foundation, GTM Data Store, and vertical dataset catalog.