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IndyKite

Enterprise Sales Engineer (UK & EU)

London
Posted about 18 hours ago
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About IndyKite

IndyKite is a pioneer in data trust and AI enablement, building the trust and decision layer for enterprise agentic AI. Powered by a live context graph, the IndyKite platform brings deep contextual intelligence, identity-centric security, and fine-grained authorization to enterprise data — enabling organizations to deploy AI at scale with precision, confidence, and full regulatory compliance.

Our products are at the cutting edge of securing agentic AI workloads and delivering real-time, authorized, context-aware data to enterprise applications. Backed by tier one VCs and led by the former co-founder and CEO of ForgeRock, IndyKite is building a new category at the intersection of data governance and AI.

The Opportunity

Based in or within a reasonable commuting distance to London, you will engage senior buyers across IT Security, IAM, Data Engineering, and AI/ML teams to help them understand why data trust is foundational for enterprise AI.

Acting as a technical evangelist and a bridge between our Sales and Customer Experience teams, the role requires a unique blend of technical expertise and outstanding human-centred soft skills. You will position yourself as a key technical partner to the sales team, collaborating closely with executives on planning, preparation, and delivery throughout complex enterprise sales cycles. This is a strategic and consultative role.

Key Responsibilities

Pre-Sales Excellence

  • Demos & POCs: Deliver compelling Proofs of Concept (POCs) and sophisticated product demonstrations to prospective clients
  • Architectural Strategy: Provide strategic architectural recommendations to prospects and Sales Executives
  • Technical Evangelism: Act as the technical evangelist across the sales cycle, staying fully integrated into sales executive planning, preparation, and delivery

Technical Consulting

  • Platform Expertise: Act as the technical expert for our platform, offering actionable insights into integration and configuration best practices
  • Deployment & Adoption: Apply technical depth to customer configuration and deployment concerns to guarantee successful platform implementation and adoption
  • Partner Support: Provide ad-hoc technical support to our strategic system integrators and reseller partners

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

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

Stakeholder Management

  • Enterprise Sales Cycles: Partner with Sales Executives to navigate complex, multi-stakeholder enterprise sales cycles involving CISOs, CDOs, CTOs, and procurement teams
  • Relationship Building: Build lasting executive and technical resource relationships to support expansion and long-term account growth
  • Client Success & Training: Support high-need clients with managed services or long-term engagements, and train, mentor, or resolve issues for prospects, customers, and partners
  • Feedback Loop: Channel valuable customer insights back to the Engineering team to improve the product and sharpen future sales impact

Market & Ecosystem Development

  • Industry Representation: Represent IndyKite at industry events, conferences, and with strategic partners (including cloud providers, SIs, and ISVs)
  • Travel: Be available for travel, largely within the UK and EU, with occasional global destinations

What You Bring

Required Skills

  • AI-Powered Builder: Expertise in leveraging AI tools (e.g., Gemini, Claude) to supercharge workflows, automate routine tasks, and rapidly build sophisticated, interactive product demos for customers
  • Graph Database Expertise (Core): Deep expertise in graph technologies is essential, alongside practical experience with the Cypher query language and preferably Neo4j
  • Deployment: Demonstrated understanding of Infrastructure as Code (IaC) principles and the core Terraform workflow (init, plan, apply) with the ability to maintain and update existing configurations
  • Integration: Comfortable implementing and maintaining data flows between systems using REST APIs for request-response actions and Apache Kafka / Confluent for streaming data
  • Development Skills: Hands-on experience with core technologies such as Python, JavaScript, React, and Go
  • Software Delivery: Proven capability to successfully implement, integrate, and configure complex software products
  • Identity & Authorization: Business and technical expertise in policy design and implementation, alongside familiarity with IAM protocols—specifically OAuth 2.0 and AuthZEN
  • Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field (or equivalent practical experience)

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Soft Skills & Mindset

  • Composure Under Pressure: The ability to maintain a calm and professional demeanour, especially when diagnosing and troubleshooting complex, high-stakes technical challenges for customers
  • Empathy and Active Listening: A high degree of empathy to truly understand the customer's perspective, pain points, and technical objectives, translating needs into effective solutions
  • Clear Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts simply, patiently, and clearly to both technical and non-technical audiences
  • Collaborative Spirit: A proactive and supportive approach to working with Account Executives, the Customer Experience team, and external partners

Nice To Have

  • AI Skills: Experience developing AI agents using Python
  • LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration

Why IndyKite?

  • Category Creation: The chance to define and build a brand-new market category from the ground up alongside ambitious and supportive teammates
  • Competitive Rewards: Competitive compensation, comprehensive benefits, and an Employee Stock Ownership Plan (ESOP)
  • Culture & Flexibility: Fast-paced, highly collaborative, and global environment featuring hybrid flexibility, travel opportunities, and stellar global off-sites
  • Growth: Excellent career advancement opportunities

At IndyKite, your uniqueness is your power. We embrace diversity in every form and want you to bring your authentic self to work. If you are interested in this position and think we could be a good fit, we would love to hear from you.

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Skills

Graph Database
Cypher Query Language
Neo4j
Terraform
Infrastructure as Code
REST APIs
Apache Kafka
Python
JavaScript
React
Go
OAuth 2.0
AuthZEN
Identity and Access Management
AI Agent Development
RAG

Location

London, England, United Kingdom

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