- Build APIs for intuitive user interaction with complex graph data.
- Design secure, scalable access control systems for mission-critical environments.
- Orchestrate workflows to automate graph analytics, inference, and real-time insights.
Neo4j
6 open remote positions
Neo4j is the graph intelligence platform that transforms data into knowledge to power intelligent applications and AI systems. The company has surpassed $200M in ARR, is valued at over $2B, and is trusted by 84% of the Fortune 100, with a culture focused on relationships, inclusiveness, and innovation.
Salary Distribution 1 of 6 jobs
$330,000
Min
$330,000
25th
$330,000
Median
$330,000
75th
$330,000
Max
Benefits Overview 1 of 6 jobs
401(k)
(1)
Dental
(1)
Medical
(1)
PTO
(1)
Vision
(1)
Open Positions
- Design and build the AI layer of Hume, focusing on its core AI component, Hume Maestro, from the ground up.
- Actively contribute to the codebase, setting the standard for technical excellence and scalability.
- Collaborate with product and science stakeholders to align technical execution with product vision.
$280,000–$330,000/yr
- Develop and execute a strategic territory plan to build a robust pipeline and achieve revenue targets.
- Lead complex sales cycles with a solution-based approach, employing strategic selling strategies like Land & Expand.
- Manage the full sales process from prospecting to closing, securing new logos and expanding existing accounts.
- Monitor accounts receivable inbox and resolve day-to-day inquiries.
- Create, verify, and distribute customer invoices in NetSuite and vendor portals.
- Follow up on overdue invoices through phone, email, or letters to ensure prompt payment.
- Lead technical discovery sessions with enterprise customers to align on success criteria and milestones.
- Guide the instantiation of Neo4j AuraDB or self-managed clusters across major cloud providers with secure architectures.
- Architect data ingestion pipelines and advise on driver optimization, while producing high-quality technical deliverables.
- Work closely with enterprise customers to implement graph-powered solutions from design to production roll-out.
- Design graph data models and architectures to support complex relationships and high-performance querying.
- Act as a trusted technical advisor, providing guidance on best practices for graph technology and AI integration.