6 дней назад
Senior Solutions Engineer (Graph Data)
200 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Engineer (Graph Data): Showcasing and architecting Neo4j graph data solutions for enterprise customers across cloud and on-premise environments with an accent on technical discovery, platform demonstrations, and proof-of-value engagements. Focus on designing reference architectures, integrating graph databases with existing applications, and translating complex data technologies into business outcomes.
Location: Remote, Southeast US
Annual on-target earnings: $200,000–$265,000 USD
Company
provides a graph intelligence platform and enterprise-ready knowledge graph technology for intelligent applications, analytics, and AI systems.
What you will do
- Partner with sales executives as a technical advisor throughout the sales cycle.
- Lead technical discovery, opportunity qualification, presentations, platform demonstrations, proof-of-value engagements, sizing, and technical documentation.
- Design reference and solution architectures integrating with existing applications and data environments.
- Support integrations across AWS, Azure, GCP, and on-premise infrastructures.
- Build trusted relationships with customer stakeholders and communicate technical feedback to Product Management, Engineering, Marketing, and Sales.
- Participate in account-based marketing events, conferences, and trade shows, with travel as needed.
Requirements
- 5+ years of customer-facing experience in Sales Engineering, Presales, Solutions Engineering, Solutions Architecture, or Technical Consulting.
- Experience with enterprise data architecture, data analytics, data science, or cloud data architecture.
- Hands-on experience with relational or NoSQL databases and at least one of Python, Java, JavaScript, Go, or C#.
- Experience designing, developing, and implementing data solutions in public cloud or on-premise environments.
- Ability to communicate with technical and non-technical audiences through presentations, whiteboarding, and demonstrations.
- Working knowledge of graph databases is a strong advantage; familiarity with GenAI, LLMs, and agentic AI is also advantageous.
Culture & Benefits
- Inclusive, diverse, equitable, and collaborative workplace.
- Medical, dental, and vision benefits.
- 401(k), paid time off, and certain leaves of absence.
- Eligible US employees may receive stock options, and certain roles may include an annual bonus.
- Values include relationships, user success, openness, positive intent, intellectual honesty, and commitment to results.
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