Zoominfo Senior Forward Deployed Engineer at ZoomInfo responsible for embedding with strategic accounts to design and deliver bespoke intelligence applications. Owns engagements end-to-end from discovery through deployment.
Responsibilities
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
A few recurring patterns show up across strategic accounts. Most engagements involve some combination of:
Entity resolution at scale — reconciling legal entity hierarchies (D&B, tax IDs, company-house registrations) with how customers actually go to market. Multinationals with hundreds of legal entities collapsing to a single GTM record.
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 (Salesforce can't do hierarchy work at scale) into Snowflake or BigQuery, via API or data cube depending on the workflow.
Buying group filtering — applying persona-density criteria across hierarchies to turn a customer's 5,600 Disney legal entities into 31 actionable targets.
Qualification
High OwnershipWhy This Role The mandate is clearEnterprise customer accessBest-in-class data and infrastructure#LI-AR2 #LI-remote$171
Required
High Ownership, Comfort with Ambiguity This function is still being defined at ZoomInfo. You take ownership of your workstreams, are comfortable making judgment calls with incomplete information, and can operate effectively even where process doesn't yet exist.
Strong Software and Data Engineering Fundamentals You write production-quality code. You're proficient in Python and SQL, and comfortable working in cloud data warehouses (Snowflake, BigQuery, Databricks, or similar). You've built or substantially worked with: data pipelines, entity matching or deduplication logic, API integrations, and 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 — these are core tools in how we build, not a nice-to-have.
Customer-Facing Communication You've worked directly with customers in a technical capacity — solutions engineering, consulting, technical account management, or a previous FDE-style role. You can synthesize complex data needs for a business audience and discuss matching architecture with a data engineering team in the same week, if not the same meeting. You're comfortable navigating enterprise environments with competing stakeholders — sales operations, IT, marketing ops, finance, and revenue leadership all sit at the same table.
Go-to-Market Data Familiarity (Preferred) Experience working with B2B data, CRM systems (Salesforce, HubSpot), enrichment and orchestration tooling (RingLead, Clearbit, Demandbase), or similar go-to-market infrastructure. Familiarity with concepts like firmographic enrichment, entity resolution, hierarchy management, TAM modeling, intent data, and account-based prospecting. This isn't required — if you're a fast learner with the right instincts, we'll get you there.
Why This Role The mandate is clear. Driving data consumption and growth across ZoomInfo's strategic accounts is a top company priority. We already have working prototypes, validated customer demand, and executive sponsorship. The data team, product team, and infrastructure are in place. What's needed is someone ready to execute and grow with the function.
Enterprise customer access. ZoomInfo's customer base includes market-leading GTM organizations at some of the largest enterprises in the world. You'll be embedded with these teams, solving real problems with meaningful budgets and complex data needs.
Best-in-class data and infrastructure. ZoomInfo's data foundation, GTM Data Store, query infrastructure, and vertical dataset catalog give you the raw materials to build custom intelligence applications that aren't possible anywhere else.
#LI-AR2 #LI-remote
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
