Pre-Sales Engineer

Stott and May Inc.; Greater London; Hybrid; GBP 75,000 - 125,000; Full time

Job summary

Stott and May Inc. is seeking an experienced Pre-Sales / Solution Engineer to support the sales team in identifying, shaping and presenting AI and automation solutions to enterprise clients.

The role blends technical solution design with commercial engagement and requires working with senior stakeholders to translate business challenges into technology-led solutions. The position is approximately 50% technical/solution focused and 50% commercial/client engagement, with London-based hybrid work

Qualifications

• 5–8 years' experience in pre-sales, solution engineering or similar client-facing technical role.
• Strong hands-on knowledge of UiPath and enterprise automation.
• Good understanding of AI, GenAI and LLM-based solutions and their commercial applications.
• Ability to translate business requirements into technology-led solutions.
• Experience developing business cases, ROI models or value propositions.
• Confident presenting to and engaging with senior stakeholders.
• Strong commercial awareness and understanding of enterprise sales processes.

Responsibilities

• Lead discovery workshops to understand customer operations, challenges and objectives.
• Identify and prioritise automation, AI and agentic AI use cases.
• Demonstrate AI and automation potential and outline achievable outcomes.
• Shape high-level solutions using UiPath, RPA, AI and related technologies.
• Develop business cases and ROI models to demonstrate commercial value.
• Translate requirements into solution concepts, architectures and delivery approaches.
• Support sales meetings, presentations, demonstrations and proposals.
• Collaborate with delivery and technical teams to develop solutions.
• Build relationships with senior client stakeholders and influence decisions.

Skills

UiPath

RPA

GenAI

LLM

Stakeholder engagement

Business case development

Solution architecture

Pre-sales

Sales support

Presentation skills

Tools

ROI modelling tools

CRM tools

Job description

Pre-Sales / Solution Engineer – AI & Automation

Location: London, UK (Hybrid – 2–3 days per week in the office)

The Role

Our client is looking for an experienced Pre-Sales / Solution Engineer to support the sales team in identifying, shaping and presenting AI and automation solutions to enterprise clients.

This is a client-facing role combining technical solution design with commercial engagement. You will work with customers to understand their business challenges, identify opportunities for automation and AI, and translate these into compelling solutions and business cases.

The role is approximately 50% technical/solution focused and 50% commercial/client engagement, making it ideal for someone who is technically credible, commercially minded and confident working with senior stakeholders.

Key Responsibilities

• Lead discovery workshops to understand customer operations, challenges and business objectives.
• Identify and prioritise automation, AI and agentic AI use cases.
• Demonstrate the potential of AI and automation and help clients understand achievable outcomes.
• Shape high-level solutions using UiPath, RPA, AI and related technologies.
• Develop business cases and ROI models to demonstrate commercial value.
• Translate business requirements into solution concepts, high-level architectures and delivery approaches.
• Support sales meetings, presentations, demonstrations, proposals and the wider sales cycle.
• Work closely with delivery and technical specialists to develop appropriate solutions.
• Challenge requirements and recommend practical, commercially viable approaches.
• Build trusted relationships with senior client stakeholders and influence decision-making.
• Approximately 5–8 years' experience within pre-sales, solution engineering, solution consulting or a similar client-facing technical role.
• Strong hands-on knowledge of UiPath and RPA/enterprise automation.
• Good understanding of AI, GenAI and LLM-based solutions and their commercial applications.
• Strong ability to translate business challenges into technology-led solutions.
• Experience developing business cases, ROI models or value propositions.
• Confident presenting to and engaging with senior stakeholders.
• Strong commercial awareness and understanding of enterprise sales processes.
• Ideally, experience working within an operational business environment rather than exclusively within technology vendors or consultancies.
• Operational or industry experience within one or more sectors; retail, logistics and hospitality are particularly relevant, with construction and banking also of interest.
• Experience carrying or contributing to a sales target.
• Knowledge of agentic AI and emerging automation technologies.
• Strong understanding of how automation can deliver measurable productivity, cost and service improvements.