[Hiring] Forward Deployed Data Engineer @ZoomInfo Technologies LLC

Role Description

ZoomInfo is building its Forward Deployed Engineering function. You will 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 missing is the person who brings it to life in front of customers and turns 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, and other regulated industries. You work alongside their teams to understand their go-to-market challenges, then 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 the engagement end-to-end: from discovery through deployment, from executive presentation through production code. You’ll work closely with our data and product teams 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 our most important customer relationships. What you build with them — and how you build it — will define the model going forward.

What You’ll Do

• Build the FDE Playbook: Document what works: onboarding sequences, deployment patterns, integration frameworks, success metrics. You’re developing this role into a repeatable model that scales to additional strategic accounts, verticals, and eventually a team. Feed field learnings back to product, engineering, and data teams to inform product direction and dataset priorities.
• Own Strategic Customer Engagements End-to-End: Serve as the primary technical point of contact for assigned strategic accounts. Run discovery sessions, scope use cases, design solutions, build applications, and deploy them in the customer’s environment. You own the outcome — not just the delivery.
• Deliver Custom Intelligence Applications: Build bespoke “single pane of glass” applications that unify ZoomInfo data with the customer’s proprietary data. These are purpose-built for specific personas and workflows — not configured off-the-shelf products.
• Bridge Technical and Business Audiences: Sit with the sales team. Present to executive leadership. Synthesize complex go-to-market data needs into clear, actionable proposals — then deliver the solution. You’re equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CRO.
• Drive Stickiness and Expansion: Every application you build makes ZoomInfo’s data more deeply embedded in the customer’s daily workflows. Identify expansion opportunities as they emerge — new use cases, new personas, new datasets.

Qualifications

• High Ownership, High Ambiguity Tolerance: This role doesn’t exist yet at ZoomInfo. You take ownership of outcomes — not tasks — and you’re comfortable making judgment calls with incomplete information, building process where there is none, and figuring things out as you go.
• Strong Software Engineering Fundamentals: You write production-quality code. You’re proficient in Python, SQL, and modern web frameworks. You’re comfortable with APIs, data pipelines, cloud platforms (AWS, GCP, or Azure), and building applications that real users depend on daily. Familiarity with API tooling — GraphQL, REST, Postman, authentication patterns (JWT, OAuth) — is a plus; deep expertise isn’t required, but you should be comfortable navigating and integrating against APIs quickly. You work fluently in LLM-based development environments like Claude Code or Codex.
• Customer-Facing Communication: You’ve worked directly with customers in a technical capacity — solutions engineering, consulting, technical account management, or a previous FDE role. You can synthesize complex data needs for an executive audience and discuss architecture with an engineering team in the same meeting. You’re comfortable navigating enterprise environments with competing stakeholders and priorities.
• Go-to-Market Data Familiarity (Preferred): Experience working with B2B data, CRM systems, sales/marketing tech stacks, or similar go-to-market infrastructure. You understand what it means to operationalize data in a revenue context.

Benefits

• Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training.
• Comprehensive benefits including holistic mind, body and lifestyle programs designed for overall well-being.
• Base salary range: $171,500 — $269,500 USD. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.