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Pre Sales Engineer at - sustainability AI startup
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-27
Listing for:
Jack & Jill/External ATS
Full Time
position Listed on 2026-02-27
Job specializations:
-
Engineering
AI Engineer -
IT/Tech
AI Engineer
Job Description & How to Apply Below
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.
- 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.
- 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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