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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in graph databases, particularly Neo4j, and possesses strong customer-facing skills to effectively communicate technical concepts and drive sales cycles in the financial services and insurance sectors. Proven ability to design and implement data solutions across cloud and on-premise environments while collaborating with cross-functional teams.
Highest-signal resume keywords
Graph Database ExpertiseCustomer-Facing ExperienceData Architecture DesignTechnical Presentation SkillsFinancial Services Knowledge
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with sales executives as a critical member of the Financial Services & Insurance go-to-market team
- Showcase the value of Neo4j’s graph data platform and manage the technical aspects of the sales cycle
- Help financial-sector companies understand and prove Neo4j’s value for critical use cases and next-generation solutions
- Demonstrate thought leadership through platform and use-case demonstrations, solution architecture, workshops, and conferences
- Help Sales qualify and validate opportunities technically, accelerate sales cycles, and drive Neo4j adoption
- Collaborate with Sales, Professional Services, Product Management, and other teams to deliver customer value
- Act as a technical advisor and advocate for Neo4j products and services
- Drive technology evaluation stages of sales cycles
- Manage parallel opportunities, including qualification, technical discovery, presentations, demonstrations, proof of value, sizing, and documentation
- Build relationships with customer stakeholders and serve as a trusted advisor
- Co-create reference and solution architectures integrating Neo4j with existing architectures and applications in public cloud or on-premise environments
- Stay current on Neo4j capabilities and third-party integrations
- Communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales
- Participate in account-based marketing events, conferences, and trade shows
- Travel as needed to support deal creation, closure, and the team
Requirements
What you’ll need- 5+ years of customer-facing experience in a similar capacity (Sales/Pre-sales/Solutions Engineer, Solutions Architect, Technical Consultant, etc.)
- Experience with enterprise data architecture, data analytics, data science, or cloud data architecture
- Working knowledge of graph databases such as Neo4j, TigerGraph, OrientDB, or JanusGraph
- Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases
- At least one of Python, Java, JavaScript, or Go
- Familiarity with GenAI, LLMs, and Agentic AI is required
- Track record designing, developing, and implementing data solutions in AWS, Azure, GCP, or on-premise environments
- Ability to present and communicate ideas to technical and non-technical audiences through presentations, whiteboarding, and platform demonstrations
- Communication skills to translate technical concepts into business outcomes in the financial space
- Knowledge of financial services and/or insurance required
- Passion for learning new technologies and developing data modeling and change management approaches
- Entrepreneurial mindset with ability to prioritize, pivot, and problem-solve
Benefits
Comp & perks- US employees are eligible for a stock option grant
- Certain roles are eligible for an annual bonus
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k)
- Paid time off
- Certain leaves of absence
- Inclusive, diverse, and equitable workplace
- Collaboration and employee empowerment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Neo4jSQLNoSQLPythonJavaJavaScriptGoData AnalyticsCloud Data ArchitectureData Solutions Implementation
Soft Skills
Communication SkillsProblem-SolvingEntrepreneurial MindsetRelationship BuildingThought Leadership
Tools & Technologies
AWSAzureGCPGraph DatabasesData ModelingChange Management
Industry Keywords
Financial ServicesInsuranceEnterprise Data ArchitectureData ScienceGenAILLMsAgentic AI