Overview

AI Solution Engineer

Hybrid - Manchester. Up to £85,000 + 30% Bonus.

The Opportunity

A leading AI SaaS company is scaling rapidly and looking for an AI Solution Engineer to join their commercial team. The business helps global enterprises unlock value from data through cutting-edge AI applications in areas such as pricing, inventory, and customer intelligence.

This is a chance to join a high-growth tech company at the forefront of applied AI, working with major international brands and playing a key role in shaping how organisations adopt next-generation technology.

The Role

As Solution Engineer, you\'ll act as the bridge between technical capability and commercial opportunity. You\'ll partner with sales and product teams to engage with enterprise customers, uncover business challenges, and design AI-driven solutions that deliver measurable outcomes.

Key responsibilities include:

• Leading discovery workshops, demos and technical discussions with senior stakeholders.
• Scoping AI solutions and producing proposals that align with customer objectives.
• Designing and presenting business cases with tangible ROI and value calculations.
• Supporting enterprise architecture conversations with technical leaders (CIOs, CDOs etc.).
• Staying on top of the latest AI advancements to position the business as a thought leader.

About You

• Strong background in B2B SaaS or data/AI solutions, ideally in a pre-sales or solution engineering role.
• Experience engaging enterprise customers and facilitating technical/commercial workshops.
• Strong technical grounding in data analytics, AI or advanced technology platforms.
• Confident communicator able to simplify complex topics for diverse stakeholders.
• Collaborative, curious, and commercially minded with the drive to make an impact.

Package

• Salary up to £85,000 + bonus.
• Hybrid working in Manchester (3 days in office, 2 remote).
• Share options, private health cover and enhanced family leave.
• 25 days holiday (rising with service) plus flexible bank holidays.
• Professional development opportunities, volunteering days, wellbeing support, and regular social events.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other
• Data Infrastructure and Analytics

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