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Pre Sales Engineer at - sustainability AI startup

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill/External ATS
Full Time position
Listed on 2026-02-27
Job specializations:
  • Engineering
    AI Engineer
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Pre Sales Engineer at high-growth sustainability AI startup
Location: Greater London

Pre Sales Engineer

Company

Description:

high-growth sustainability AI startup

Job Description: As a Pre Sales Engineer, you will drive the adoption of an innovative AI platform designed to optimize energy efficiency in critical infrastructure. You will bridge the gap between complex machine learning technology and business value, conducting discovery workshops, building technical proofs of concept, and helping global enterprise clients significantly reduce their carbon footprint through intelligent, decentralized automation solutions.

Location: London, UK

Why this role is remarkable
  • Work at the intersection of cutting-edge federated learning and global environmental impact, solving one of the most pressing energy challenges in modern infrastructure.
  • Join a well-funded scale-up backed by top-tier VCs during a phase of rapid international expansion and product acceleration.
  • Influence the product roadmap by collaborating directly with R&D and engineering teams to refine AI agents that deliver measurable ROI for enterprise customers.
What you will do
  • Lead technical discovery sessions to understand customer operational pain points, infrastructure constraints, and data ecosystems.
  • Design and execute hands‑on technical demonstrations and proofs of concept using Python-based tools to validate AI model performance.
  • Partner with the sales team to develop compelling technical proposals and establish yourself as a trusted advisor to C‑suite executives and operations leads.
The ideal candidate
  • Proven experience in technical sales or solution architecture within enterprise SaaS, specifically focusing on complex infrastructure, IoT, or energy systems.
  • Proficiency in Python and familiarity with modern Dev Ops tools such as Docker, Linux environments, and cloud infrastructure providers.
  • Exceptional storytelling ability with a track record of translating sophisticated machine learning concepts into clear, value‑driven business outcomes for stakeholders.
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