Hiring: Director, Field Engineering and Strategy Company: Neo4j Location: San Mateo, CA Job Posted Time: 2026-09-10 11:35:33 Employment Type: Hybrid Target Skills & Keywords : Embedded Systems, Microsoft Excel, Neo4j, Python, Salesforce About the job Experience: •10+ years in Sales/Revenue Operations, Field Engineering leadership, or GTM Strategy roles, with at least 3+ years in enterprise B2B software or infrastructure/data software. Required Skills: •Own the Field Engineering headcount model: current-state coverage, ratio benchmarking (SE:AE, SE:ARR, SE:Account), and forward capacity planning tied to pipeline and bookings targets. •Partner with Finance and RevOps on annual and in-year headcount requests, backed by data. •Build and maintain territory/coverage models across segments, regions, and specializations (e.g., vertical or product-line SE pods). •Define and own the Field Engineering KPI framework (e.g., SE utilization, POV win rate, technical win/loss, ramp time, deal-cycle involvement). •Build and maintain leadership-facing dashboards and QBR materials for the Global Field Engineering organization. •Run the operating cadence: weekly/monthly business reviews, forecast rollups specific to technical validation stages, and escalation processes for at-risk deals requiring SE intervention. •Translate company and GTM Strategy & Execution priorities into Field Engineering execution plans. •Lead annual planning for the Field Engineering org: goals, org structure, budget inputs, and success metrics. Qualifications: •Direct prior experience as a Solutions Engineer, Sales Engineer, or Field Engineer, or as a manager/RevOps partner directly supporting an SE organization. Non-negotiable — this role requires firsthand credibility with the field engineering org, not secondhand familiarity. •Proven track record building headcount, capacity, and coverage models for a technical pre-sales organization. •Strong command of GTM data infrastructure: Salesforce or equivalent CRM, BI/reporting tools, forecasting methodology. •Demonstrated ability to operate across a matrixed reporting structure and drive alignment without direct authority. •Executive presence: able to present to CRO-level and VP-level stakeholders and hold ground on data-backed recommendations. •Operational familiarity with AI-assisted GTM tooling (forecast automation, deal-risk scoring, technical win/loss analysis). •Scripting or automation experience (Python, Apps Script) for building recurring reporting pipelines outside of BI-tool constraints. •Annual Base Salary Range for This Role Compensation: •$190,000 - $265,000 / year •In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!