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Neo4j

Enterprise Sales for Financial Services -London

London
Posted about 23 hours ago
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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.

The Role

Key Responsibilities

  • Develop and execute a strategic territory plan targeting large FSI institutions, focusing on mission-critical use cases to build a robust pipeline and achieve Quarterly/Annual and longer-term sales/pipeline development objectives.
  • Become an expert in Neo4j product offerings and industry solutions, driving value led discovery, partnering with our Solutions Engineering team to deliver compelling demonstrations of Neo4j’s graph intelligence platform and delivering proposals that articulate business value for complex industry challenges.
  • Leverage deep knowledge of the financial market to position our solutions as the best fit for customer needs, highlighting advantages over legacy relational databases and competing technologies.
  • Lead complex sales cycles with a solution-based approach, employing strategic selling tactics, including the Land & Expand model, to grow high-value FSI accounts.
  • Manage the full sales process from prospecting to closing, consistently securing new logos and expansion deals within the world's largest financial organisations.
  • Provide guidance and mentorship to SDRs and Field Marketing to align on banking-specific target accounts and support pipeline development.
  • Maintain accurate and up-to-date information within the Neo4j CRM system, ensuring data integrity and adhering to rigorous forecasting guidelines (using Gong).
  • Develop strong partnerships with public cloud providers (e.g., AWS, Google, Microsoft Azure) and tech ecosystem partners (e.g., Databricks) and leverage these relationships to drive growth within cloud-first banking initiatives.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You Bring To The Role

  • 10+ years of proven success in enterprise software sales with a consistent track record of exceeding targets within the Financial Services Industry (FSI).
  • Demonstrated experience managing complex sales processes within enterprise markets, specifically focusing on Data Warehousing, AI/ML, or Fraud/Risk Management.
  • Proven ability to independently develop close relationships with C-level stakeholders at major banks while managing long-term business engagements.
  • Deep understanding of commercial open-source business models, including selling on-premise and secure cloud/SaaS hybrid solutions for regulated environments.
  • Ability to craft and execute sales strategies tailored to the Banking and Securities industry, leveraging partner and Go-to-Market knowledge.
  • Strong presentation, communication, and organisational skills with a knack for building strong business champions.
  • Familiarity with sales methodologies such as MEDDPICC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market.
  • Experience collaborating with cross-functional teams to deliver on customer expectations, including Solution Engineering, Marketing, Customer Success, and Professional Services resources.
  • Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Sales Development, Professional Services, and Alliance Partners, including Hyperscale Cloud providers and GSI’s.

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Preferred Qualifications

  • Experience selling complex technical solutions into enterprise markets, with a focus on subscription-based models and cloud deployments.
  • Knowledge of graph technology, data management tools, or other advanced data-driven technologies.
  • A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (e.g., Google Docs, Salesforce, MS Office).
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Location

London, England, United Kingdom

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