- Location
- London
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Sales
- Seniority
- Lead
- Closing date
- Today
- Source
- Vincere
Description
Pre-Sales Lead
Intelligence and investigations software/AI scale-up
London, hybrid (3 days)
£225k OTE, 70/30 split
First solutions hire. Four sellers waiting for you. A platform you actually get to build on.
The Company
Founded in 2018 by people out of law enforcement. Multi-million ARR. Their platform connects customer data, external intelligence, existing systems, AI and human review into workflows the customer configures.
Fraud and financial crime investigations get quicker, and the evidence gets cleaner. Government is the established market. New funding is going into insurance, fintech and banking.
What You'll Own
- Discovery workshops: map the customer's real process, data and decision points
- Hands-on builds: configure and test workflows, AI steps and graph-based relationship analysis
- Demos and time-boxed proofs of concept with agreed success criteria
- Requirements at close: accurate workflows and scope, handed cleanly to engineering
- Reusable templates from every win, and product gaps fed back for prioritisation
Why This Role is Special
Let's be clear: there is no presales team. You are it. Three jobs in one seat: presales consultant, business analyst and the bridge to engineering.
You will stand in front of enterprise architects and be the most technically credible person in the room. You will also earn the respect of the engineers without getting pulled into their backlog.
Do it well, and the path is to lead a combined pre-sale and post-sale function. A four-person post-sale team already exists, and more solutions hires are planned.
Must-Haves
- Customer-facing experience turning business processes into working technology
- Hands-on configuration of a low-code or workflow platform (UiPath, Appian, Pega or similar). Vendor or consultancy background; both work
- Practical AI in workflows: prompt design, testing outputs, knowing where a human or a rule belongs
- Working knowledge of APIs, JSON, data mapping and integrations
- Commercial experience close to revenue. Purely technical profiles won't fit
Nice-to-Haves
- Insurance claims, fraud or underwriting exposure, or payments, gaming and financial crime
- Graph data, entity matching or relationship analysis
- SQL, scripting, API testing
Why apply?
If you want to join a company early, make a big impact, and be a part of something, then this is the opportunity for you.