Senior Forward Deployed Engineer

What You'll Do

Own Strategic Customer Engagements End-to-End

• Serve as a primary technical point of contact for assigned strategic accounts.
• Run discovery sessions with data engineers, sales operations leaders, and revenue stakeholders.
• Help diagnose the underlying problem (which is rarely the one the customer first describes).
• Scope the use case, design the solution, build the application, deploy it in the customer's environment, and stay accountable for the outcome.

Bridge Technical and Business Audiences

• Sit with the sales team. Present to customer stakeholders.
• Synthesize complex go-to-market data needs into clear, actionable proposals.
• Whiteboard matching architecture with a data engineering team.
• Walk a sales operations director through disposition codes.
• Present ROI and strategy to executive audiences.

Contribute to the FDE Playbook

• Document what works: discovery frameworks, engagement phases, integration patterns, deliverable templates, success metrics.
• Extract what's repeatable from each new account and feed it into a model that scales.

What You'll Build

Every engagement comprises a consistent service architecture with three pillars and five capability areas.

Three Pillars:

• Data Foundation: golden reference matching, persistent IDs, unified entity profiles.
• Data Management: business-specific logic for customer definitions, account models, entity resolution.
• Activation: TAM to SAM to SOM, fit scoring, in-market signals.

Five Capability Areas:

• Data Foundation Development: Match records across CRM, ERP, billing, and marketing systems to a golden reference dataset. Build custom disposition logic, domain validation, marketability classification, and legal entity crosswalks.
• Account Architecture & Entity Resolution: Define account meaning for the customer's business and build automated logic for duplicate resolution, inactive entity disposition, hierarchy linkages.
• TAM Development & White Space Discovery: Build complete addressable market against ICP criteria, suppress against existing customers, surface white space, apply buying group filters.
• Account Fit Scoring & In-Market Signals: Build custom fit models from historical win/loss patterns; configure evergreen and tailored signals.
• Ongoing Governance & Automation: Match orchestration rules, enrichment segmentation, CRM field locking, and warehouse integration (Snowflake, BigQuery).

Typical Engagements

• Entity resolution at scale (reconciling legal entity hierarchies).
• Hierarchy management (parent-child linkage, orphaned accounts, white space).
• Location-level precision (geo-based firmographics).
• Automated no-human-in-the-loop logic (entity suppression, disposition-based matching).
• Data warehouse as the operating layer (Snowflake or BigQuery via API or data cube).
• Buying group filtering (persona-density criteria across hierarchies).

Requirements

• Experience building production data applications that combine third-party and first-party data.
• Strong skills in data modeling, entity resolution, hierarchy management, and automated decisioning logic.
• Proficiency with SQL, Python (or similar), and data platforms such as Snowflake or BigQuery.
• Ability to own engagements end-to-end, from discovery to deployment and stakeholder management.
• Comfort bridging technical and business audiences, including presentations to executives.
• Track record of delivering measurable business outcomes in complex enterprise environments, ideally in financial services, insurance, or technology sectors.

Nice-to-Haves

• Prior experience in Forward Deployed Engineering, Solutions Architecture, or Customer Success Engineering roles.
• Background in go-to-market (GTM) data, revenue operations, or sales technology.
• Familiarity with ZoomInfo data products (company intelligence, contact data, buying signals, intent data).
• Experience defining and scaling new functions or playbooks.