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Senior Pre-Sales Engineer

Lumilinks

City of London

On-site

GBP 65,000 - 85,000

Full time

13 days ago

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Job summary

A leading tech company in the UK is seeking a Senior Pre-Sales Engineer to enhance technical sales efforts. The successful candidate will have over 5 years of experience in pre-sales, strong technical skills in AI integration, and will work hybrid, balancing office and remote work. Responsibilities include leading solution designs and delivering presentations to key stakeholders. This full-time position offers an opportunity to drive technological innovation in a dynamic environment.

Qualifications

  • 5+ years of experience in pre-sales or sales engineering.
  • Proven track record of achieving sales targets.
  • Experience with cloud platforms and data warehousing.

Responsibilities

  • Lead design and optimisation of technical solutions.
  • Deliver presentations and demos to C-level executives.
  • Act as primary technical contact and answer integration questions.

Skills

Technical sales expertise
Business acumen
Communication
Leadership qualities

Education

Certifications in presales or sales engineering

Tools

Python
SQL
Tableau
Power BI
Job description
Senior Pre-Sales Engineer

Reports to CTO. Location: Hybrid working – 2‑3 days per week in London office / Remote working. Terms: Permanent full‑time following successful probation.

Role Overview: The Senior Pre‑Sales Engineer at Lumilinks Group Ltd acts as a subject‑matter expert who drives technical sales, influences purchasing decisions, and integrates cutting‑edge AI capabilities into presales processes.

Responsibilities
  • Advanced Solution Design & Strategy: Lead design, customisation and optimisation of technical solutions, mapping capabilities to business objectives and demonstrating tangible ROI.
  • Presales Presentations & Demonstrations: Deliver compelling, interactive demos and presentations to C‑level executives and technical end‑users, translating complex features into clear business benefits.
  • Technical Deep Dives & Expertise: Act as the primary technical point of contact, answering complex questions on integration, performance, scalability and security.
  • Discovery & Qualification: Conduct deep discovery calls using BANT, research prospects and their companies, and identify pain points, goals and timelines.
  • Proposal Development: Generate tailored technical content, statements of work, architect solutions and contribute to RFX responses, leveraging AI tools for efficient drafting.
  • Collaboration & Cross‑Functional Alignment: Work closely with Account Executives, Product Management, Engineering and Customer Success to define objectives, integrate presales insights and ensure seamless onboarding.
  • AI Integration & Application: Evaluate and integrate AI tools to automate tasks, summarise calls, answer questions and optimise sales pitches, while ensuring ethical and accurate outputs.
  • Continuous Learning & Industry Awareness: Stay abreast of industry trends, emerging technologies and best practices, and pursue ongoing professional development.
Qualifications & Experience
  • 5+ years of progressive experience in pre‑sales, sales engineering, solutions architecture or a highly technical customer‑facing role.
  • Proven track record of delivering impactful technical solutions and achieving sales targets through complex sales cycles.
  • Strong business acumen with the ability to translate technical insights into actionable business recommendations.
  • Certifications in presales, sales engineering, cloud platforms (e.g., Azure, Google Cloud) or domain‑specific technologies.
  • Experience with advanced workshops or training focused on presales strategies, AI/ML, or BI tools.
Technical Skills & Knowledge
  • Deep mastery of Lumilinks product portfolio, value proposition and competitive differentiators.
  • Proficiency in Python or R, SQL and relevant libraries for data manipulation and scripting.
  • Experience with generative AI platforms (e.g., Snowflake Cortex, ChatGPT) and prompt engineering for presales use cases.
  • Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and data warehousing, ETL, pipelines & governance.
  • Skilled in data visualisation tools (Tableau, Power BI) for dashboards and reports.
  • Excellent communication, collaboration and leadership qualities, with a proactive learning mindset.
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