Neo4jHiring

Senior Pre-Sales Engineer, Financial Services and Insurance

  • Remote, United States
  • Senior
  • Posted 2 weeks ago
In one line

Pre-sales engineering role on the financial services and insurance sales team, helping clients prove out graph database use cases; remote-friendly with travel to meetings and events.

About the role

Works alongside sales executives through the technical side of the deal, from first discovery to proof of value. Success means shorter sales cycles and customers who see how graph fits their architecture.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
AWS, Azure, GCP, Graph databases
Posted
21 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Run the technical evaluation stage of deals, including discovery, demos and proofs of value
  • Handle several opportunities at once: qualification, sizing, presentations and decision criteria notes
  • Co-design reference architectures that connect the platform to customer systems on AWS, Azure, GCP or on-premise
  • Brief customers and prospects on business and technical value as a trusted advisor

What they look for

  • Comfort presenting and demonstrating technical solutions to both business and technical audiences
  • Ability to understand customer needs and map them to concrete platform use cases
  • Experience with public cloud environments such as AWS, Azure or GCP

How Keywordise applies for you

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Connector URL
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Connector URL
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Prompt
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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: comfort presenting and demonstrating technical solutions to both business and technical audiences; ability to understand customer needs and map them to concrete platform use cases; experience with public cloud environments such as AWS, Azure or GCP. Skills it names include AWS, Azure, GCP, Graph databases.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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