Presales Solutions Consultant in Cheshire, Warrington

Own the technical argument that wins AI transformation deals.

About Godel

Godel is an AI transformation company focused on helping organisations industrialise innovation and unlock competitive advantage through agentic technology. As an AI-native business, Godel is on a mission to enable its partners to become AI-native too embedding intelligence, automation and scalability at the core of their operations.

• Scale and heritage: 20+ years and 1,400 people across the UK, Poland, Lithuania and Bulgaria. Manchester headquarters with London working space. Privately owned and UK-headquartered.
• AI credentials: 100+ Claude certified architects and 1000+ trained AI engineers across the business, and a brand-new go-to-market built on a market-leading agentic engineering offering.
• Momentum and clients: A record FY25 for new business. Partners include Awaze, Naked Wines, AO.com, Stagecoach, Reed.co.uk and Premium Credit.

About the role

As a UK-based Presales Consultant, you will support clients through the earliest stages of their engagement with Godel, bringing the technical perspective to sales pitches, running early agentic exploration of their technical estates, and helping shape competitive proposals. We are leveraging best of breed AI to automate your job and do much of the technical discoveries. Your focus is the client-facing narrative and the winning proposal: you own what the client sees and hears, and are accountable for it being clear, persuasive and defensible alongside a Client Director who owns commercials, pricing and the close.

What you will be accountable for:

• Supporting sales’ pitches of Godel from technical perspective, leading Q&A sessions with the clients, running demos.
• Understanding and capturing clients’ requirements and expectations and passing them to the supporting team.
• Supervising and managing the back office dev team running the agentic discoveries, making sure all possible clients’ concerns are covered and the future solution is fit for purpose.
• Creating client proposals and owning the client-facing form of every artefact of the technical discovery and recommendations.
• Working closely with the Sales team. You own the technical content and its defensibility; they own commercials, pricing and the close. You tell them when a commitment is not supported by the evidence.
• Converting findings into next-stage momentum. Frame open questions as what we would explore together in a full Discovery, maintain the recurring-question library, and turn client sessions into written follow-ups.

The ideal candidate

Presales and commercial experience:

• Four or more years in presales, solution consulting, business architecting or technical account management in SaaS or software services, client-facing throughout.
• A track record of building the technical content of competitive proposals.
• Has presented to and held the room with CTO, CIO, Head of Engineering and procurement audiences, including a sceptical or hostile one.

Technical literacy — fluency and versatility, not depth:

• Advanced user in Claude, Copilot, etc.
• Software delivery experience in any role, preferably a Developer, Lead, Architect or a Delivery Lead.
• Understands SDD and agentic development.
• Confident and accurate with the vocabulary: monoliths versus services, coupling and dependencies, bounded contexts, technical debt, data migration, cloud, CI/CD, and .NET, Java, Node.js, Python, React and Angular as named ecosystems.
• Can explain complex technical concepts (e.g. a bounded context, a strangler-fig, or why shared database tables make a module hard to carve out) in plain business English, to a non-technical buyer, without misrepresenting it; and vice versa, understand the technical concepts and be able to translate it into business language to the non-technical board.
• Can critically assess AI outputs and can spot wrong info (e.g. the invented capability, the overstated claim, the number that came from nowhere) — and you do not sign your name to it.
• Knows the edge of their own knowledge and defers to the SME rather than improvising.

Language, tooling and conduct:

• Native or near-native idiomatic English in a UK business register. You write documents that go out under Godel’s name and you are the voice in the room.
• PowerPoint to a professional standard. Mostly this is finishing and repair on a generated deck, but you must be able to build or fix one unaided and offline, an hour before a client meeting.
• Git hosting (GitLab and GitHub), Jira, Confluence and Azure DevOps navigated unaided, and used to extract the code, tickets and documentation that feed our analysis — including authenticating agents with tokens, PATs and OAuth flows, with a working understanding of scopes and least privilege.
• Absolute discipline about the internal / client-facing boundary, and acceptance of a refusal on evidential grounds — however much a client wants a date. Comfortable being the least technically deep person in an internal conversation and the most commercially fluent one.

Nice to have:

• Experience positioning fixed-price, pod-based, outcome-based or managed-service delivery models — including handling the “if it’s AI-powered, why does it still take months?” objection.
• Discovery or requirements workshop facilitation; RFP’s and RFI’s; exposure to regulated sectors such as healthcare, financial services, insurance or public sector.

You do not need:

• To read or write code or hold current depth in any stack.
• To produce engineering estimates.
• To do sales pitches on your own.
• No prior knowledge of Godel’s model is expected; it is trained on the job.

Location and working pattern:

• UK resident with existing right to work in the UK. Sponsorship is not available for this role.
• Office, home or hybrid work, with travel to client sites across the UK, sometimes at short notice.
• Occasional travel to Poland and Lithuania to work with our analysis and delivery teams, and working overlap with colleagues in Central and Eastern European time zones.