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Kpler

Real-time commodity and shipping analytics

Sales Specialist - AI Products

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of experience in a customer-facing technical role, such as Sales Engineering, Solutions Consulting, Technical Account Management, or a technical analyst position with a strong commercial focus.
  • Hands-on experience with Large Language Model products, including prompting, agentic workflows, tool calling, model limitations, and context management.
  • Strong API knowledge, including REST, authentication methods, and rate limits, and the ability to read and troubleshoot technical documentation.
  • Ability to use Python or notebooks to prototype demonstrations and explore technical use cases.
  • Ability to engage confidently with technical audiences and senior business stakeholders through presentations and communication.
  • Commercial awareness to articulate product value, support pricing discussions, and build business cases and ROI propositions.
  • Experience supporting technical integrations and working with cross-functional teams, including Product and Engineering.
  • Excellent written and spoken English.
  • A proactive, curious, and customer-focused approach, with the ability to translate complex technical concepts into clear, practical business value.

Responsibilities

  • Deliver discovery-led, tailored demonstrations of Kpler's AI Assistant and MCP server to prospective and existing customers, engaging stakeholders from analysts through to C-level executives.
  • Design and deliver hands-on customer workshops, identify relevant use cases, develop tailored prompts and workflows, and support ongoing adoption through customer enablement.
  • Develop reusable workshop formats, demonstration materials, and prompt libraries to support consistent customer engagement and product adoption.
  • Own the technical narrative around Kpler's MCP server, explaining tool calling, authentication, single sign-on (SSO), integrations, data scoping and permissions, and how customer data is accessed and protected.
  • Support customers in integrating Kpler's MCP into their existing technology environments, including Claude, ChatGPT, Microsoft Copilot Studio, internal agents, notebooks, and BI platforms.
  • Work with Account Executives and Customer Success teams to support customer evaluations, trials, and proof-of-concept engagements, address technical questions, and remove barriers to adoption.
  • Support commercial discussions about AI product packaging, pricing, and value propositions; build ROI cases and address customer objections.
  • Gather and communicate structured customer feedback to the AI Product team, identifying product gaps, technical blockers, integration challenges, and opportunities to influence the product roadmap.
  • Collaborate with Engineering, Product, and Marketing teams to resolve technical challenges, develop customer-facing content, and support AI product education across the business.
  • Contribute to pipeline development through account and stakeholder mapping, opportunity qualification, industry events, and customer engagement.

About the Company

Kpler

Real-time commodity and shipping analytics

Kpler provides real-time data and analytics across oil, gas, LNG, agriculture, metals, and shipping for traders, banks, and governments. Its platform gathers terminal data, vessel movements, and trade flows, delivering insights via a web terminal, an API, and Excel add-ins for on-demand market monitoring. Its breadth across multiple commodities and markets, along with real-time and historical intelligence and growth through acquisitions, sets it apart. Its goal is to help clients make informed trading, risk management, and policy decisions while expanding into adjacent markets and new products.

Company size
501-1,000
Company stage
Private
Total funding
$220M
Headquarters
Paris, France
Founded
2014

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