Asks for

The ad says“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.”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”
The ad says“Strong command of GTM data infrastructure: Salesforce or equivalent CRM, BI/reporting tools, forecasting methodology.”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”
The ad says“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.”
The ad says“Strong command of GTM data infrastructure: Salesforce or equivalent CRM, BI/reporting tools, forecasting methodology.”
The ad says“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.”
The ad says“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.”
The ad says“Strong command of GTM data infrastructure: Salesforce or equivalent CRM, BI/reporting tools, forecasting methodology.”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”

Values

The ad says“Familiarity with AI-assisted GTM tooling (forecast automation, deal-risk scoring, technical win/loss analysis).”
The ad says“Scripting or automation experience (Python, Apps Script) for building recurring reporting pipelines outside of BI-tool constraints.”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”
The ad says“Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).”

About Neo4j:

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.

Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.

Our Vision:

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

Role Summary

The Director, Field Engineering and Strategy is the operating partner for the Global Field Engineering organisation, embedded within the Office of the CRO's GTM Strategy & Execution function. This role owns the strategic planning, operational cadence, and performance infrastructure that enable the pre-sales/SE (“Field Engineering”) organization to scale efficiently against revenue targets. It translates GTM strategy into Field Engineering execution — capacity planning, coverage models, productivity measurement, tooling, and enablement operations — while acting as the primary strategic advisor to the VP, Global Field Engineering on organizational design and resource allocation.

This is a hybrid role: formal reporting into GTM Strategy & Execution ensures alignment with company-wide revenue planning and cross-functional GTM systems; the strong dotted line into Global Field Engineering ensures the work is grounded in field reality and has direct influence over how the SE organization is run day to day.

Key Responsibilities

Headcount & Capacity Planning

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).

Performance Operations & Reporting

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.

Strategic Planning

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.
Identify structural inefficiencies in field engineering deployment and recommend organizational or process changes.

Systems, Tools & Process

Own the Field Engineering tech stack requirements (CRM data model for SE activity, POV/demo tracking, scheduling and capacity tools) in partnership with RevOps and Sales Systems.
Standardize and govern SE processes (deal qualification criteria for SE engagement, handoff protocols, POV governance) in partnership with Field Engineering leadership.
Drive adoption of AI-enabled tooling to improve SE productivity and reduce non-selling time.

Cross-Functional Partnership

Serve as the primary liaison between Global Field Engineering and GTM Strategy & Execution, Revenue Operations, Sales, Product, and Finance.
Represent Field Engineering's operational needs in company-wide GTM planning cycles (territory carving, comp design, quota setting).
Partner with Enablement on the SE certification and skills framework, ensuring it is grounded in capacity and performance data.

Requirements

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.
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.
Advanced, hands-on data manipulation and self-serve analytics capability: fluency in a BI tool (Looker, Tableau, or equivalent) and spreadsheet/data modeling at an advanced level (pivot modeling, complex formulas, or scripting in Python/Excel). This person primarily builds their own models and dashboards rather than requesting them from an analyst, although assistance from the Revenue Intelligence team is available when needed (but is secondary).
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.

Preferred Qualifications

Experience in a company selling technical/developer-oriented products where the SE org is deeply involved in the sales cycle (databases, infrastructure, dev tools, security).
Experience standing up or scaling a Field Engineering function through a growth or transformation phase.
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.

The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range.

In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence.

Annual Base Salary Range for This Role

$190,000—$265,000 USD

Why Join Neo4j?

Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.

Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

Neo4j Values:

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)

Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.

More information at www.neo4j.com.

©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.