Pre Sales Engineer
Confidential
Posted: January 30, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
Pre Sales Engineer (AI for Cooling Efficiency) at OctaiPipe, London, UK
Required Skills
Job Description
Pre Sales Engineer (AI for Cooling Efficiency)
The Company
OctaiPipe is a technology company on a mission to transform energy optimisation in data centres through decentralised artificial intelligence (AI). Our approach is built on a simple yet powerful idea: instead of moving data to a central location, we move algorithms to the data, enabling learning directly at the source. By leveraging novel federated AI technology, intelligence can be developed collaboratively across many distributed devices.
OctaiPipe is developing the Advisor for Cooling Efficiency (ACE), an AI-powered performance agent deployed on our revolutionary platform to deliver significant improvements in data centre efficiency.
We are a young, ambitious company with a vision to bring intelligence across the full spectrum of the IoT ecosystem. Following a recent successful funding round, we are growing rapidly and entering an exciting phase of acceleration as we apply our technology to one of the most critical challenges in modern infrastructure: energy-efficient data centre cooling.
What We Solve
One of the greatest energy challenges in data centres is cooling, which can account for over 30% of a facility’s total energy usage. OctaiPipe’s ACE performance agent combines AI-driven optimisation with natural language recommendations to reduce data centre cooling energy consumption by up to 30%, helping operators significantly improve sustainability and operational efficiency.
By cutting cooling energy usage by at least 30%, our solution reduces overall data centre energy consumption by at least 10%. If deployed across all data centres in the UK or the US today, this level of efficiency could release enough capacity to effectively double global data centre capability - without constructing a single new facility.
How We Are Different
Sensor-, DCIM-, and BMS-agnostic
Seamless integration with existing infrastructure, with no expensive retrofits required.
Digital Twin technology
Model operational behaviour, simulate changes, and quantify impact over time.
Flexible autonomy
Operate in closed-loop or human-in-the-loop modes, supported by explainable AI.
Collaborative AI and Federated Learning
Secure, privacy-preserving optimisation across multiple sites, delivering 10–15% better outcomes than state-of-the-art alternatives.
What We’re Looking For
Sales engineer/solution architect experience in an enterprise SaaS environment or relevant industry experience (AI, Data Centre systems/design, BMS/DCIM)
Good understanding of data centre eco systems (plan, build, operate) and infrastructure (cooling, power, monitoring)
Strong communication and storytelling skills in translating complex technology into business value and ROI
Ability to scope, validate, and deploy edge solutions on client infrastructure for prospects and customers.
Self starter and ability to keep up with a rapidly growing evolving product in a scale up environment
What You’ll Do
Collaborate closely with the sales team to qualify customer opportunities, develop and deliver compelling sales presentations, demonstrations and proposals.
Present OctaiPipe’s technology and vision at an enterprise level to executives and operations contributors at prospects and customers.
Run discovery workshops which include understanding the customer business model, operational pains, monitoring systems, building infrastructure, and technical stack.
Work hands-on with prospects and customers to demonstrate, communicate and deliver the value of OctaiPipe technology throughout the sales cycle, from demo to proof of concept to design and implementation.
Use OctaiPipe’s internal Python tooling to train and calibrate ML models during customer deployments.
Monitor deployed model behaviour and collaborate with R&D to diagnose issues and improve performance.
Create and develop champions in your accounts to drive deals and achieve a technical win.
Be the expert on OctaiPipe’s cooling optimisation and AI technology.
Immerse and enable yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position OctaiPipe in relation to them.
Collaborate with R&D, Engineering, and Marketing to continuously improve OctaiPipe’s products and marketing.
Travel to meet with prospects and customers as well as represent OctaiPipe at industry or partner events.
Work with our partners to collaborate on opportunities, account strategies and initiatives to help our partners and customers to be successful.
Required experience
Bachelors degree in data science, building science, engineering or related field
3+ years experience in a pre sales or technical sales role for cooling energy solutions, DCIM, BMS, Data Centre infrastructure and/or design.
Comfortable working in Python notebooks and scripts to run training and evaluation pipelines.
Knowledge and understanding of RL AI, Edge AI and machine learning solutions
Knowledge of energy models for buildings as well as data centre standards (ASHRAE etc)
Strong presentation and customer facing interaction skills
Experience with the following technologies:
Python
Linux distributions (Ubuntu primary)
JSON
YAML
Docker
Grafana
Cloud infrastructure providers (Azure,AWS,Google)
IT infrastructure – VM’s, Containers, networking, security
Why Join OctaiPipe
Work on real-world sustainability impact at global scale
Influence how AI is responsibly applied to critical infrastructure
Join a well-funded, rapidly growing scale-up with ambitious goals
Collaborate with experts across AI, infrastructure, and operations
Shape a product that can materially reduce energy use and carbon emissions worldwide
If you’re a Pre Sales Engineer, passionate about making sure next-generation AI is a force for good, looking for a new and exciting challenge, and energised by the prospect of making a real impact on sustainability and your career, we’d love to hear from you!