AI Solutions Lead

The Role

AI is changing what it means to deploy enterprise software. Configuring a customer's procurement workflows used to mean weeks of manual setup, integration by integration, edge case by edge case. Increasingly, that first-draft build work can be directed rather than done by hand: AI agents can generate workflow configurations, draft integration mappings, and produce the initial pass on a customer's setup.

The job shifts with it. Instead of building every workflow yourself, you specify exactly what needs to exist, direct AI to build it, and apply the judgment AI can't: is this the right configuration for this customer's approval policy, will Legal and Finance actually sign off on it, does it hold up once real spend starts flowing through it. In practice, that might mean catching that the approval chain AI just drafted works perfectly for HQ, but misses a regional delegation-of-authority rule that would fail an audit in the customer's APAC entity.

As Omnea's AI Solutions Lead, you own deployment of the Omnea platform end to end - typically running 3-5 enterprise deployments concurrently - for some of Europe's most recognisable companies. You advise customers on the best-fit configuration, direct AI-assisted build work to get there fast, and validate every output against what the customer actually needs. You'll also deal with the politics that come with every enterprise rollout: the Legal team wanting one more sign-off, the Finance stakeholder who doesn't trust the new approval flow, the exec sponsor who's gone quiet. You become the internal voice of the customer, and you're judged on outcomes you can point to: time to launch, post-go-live CSAT, and whether that customer becomes a case study or reference.

This is an early hire on Omnea's customer team, working directly with our sales, customer, product, and engineering leadership. The future shape of the role is yours to define!

What You'll Do

Discover and design

• Run discovery with customer stakeholders across Procurement, Finance, Legal, and IT, and translate their process into an Omnea configuration

• Design the target workflow: approval chains, routing logic, integrations, and the edge cases that make procurement hard

• On a deployment with a dozen-plus integrations, you own the sequencing - what has to land first, what blocks what - and the harder calls underneath it: which system is the source of truth for a given entity, and how records reconcile when two systems key that entity differently

• Define success criteria and a realistic path to go-live with the customer's project sponsor

Build with AI, not instead of it

• You're not just directing AI to draft your own deliverables faster - you're configuring the specialized agents Omnea's customers rely on every day: an intake agent that knows how to ask a procurement analyst the right follow-up question, a risk agent that flags what actually matters to this customer's Legal team

• The real leverage comes from chaining agents together - an intake agent that hands clean, structured requests to a risk agent, which in turn routes into approvals with the right context already attached. You design how those agents work as a system, not just individually

• Writing a spec for one agent is a skill. Writing one that holds up across a chain of agents - where one agent's output becomes another's input - is the actual bar here

• Validate every AI-generated output against the customer's actual process, policy, and edge cases before anything ships

• Handle what AI can't: judgment calls on ambiguous requirements, custom logic, and anything that needs a human read on internal politics

Deploy and prove value

• Present configured workflows to stakeholders, from procurement analysts to CFOs, working through the pushback and internal politics that come with any enterprise rollout, and win their buy-in

• Run multi-day onsite workshops with customers, coordinating dozens of stakeholders across multiple workstreams at once - a different muscle than a single stakeholder meeting

• Project-manage the deployment: timelines, blockers, stakeholder alignment, and a clear path to launch, acting as an extension of the customer's team

• Track adoption after go-live and keep the configuration working as the customer's process evolves

• Work with Product and Engineering during the design phase, not just after something breaks in the field - you're often the earliest signal on whether a new module will hold up for an enterprise customer, and that shapes what gets built next

What's Different About This Role

• You'll spend more time specifying and validating than building from scratch. AI produces the first draft; you make sure it's right for this customer

• Writing instructions AI can act on precisely is a skill you'll build fast here. Vague requests produce vague configurations

• Judgment matters more, not less. AI speeds up the build, but you decide whether the output is right for this contract, this Board, this customer

• You'll keep experimenting as our AI tooling evolves, and share what works with the rest of the team

About You

We don't expect you to know how to do all of this on day one. TL;DR: you're ambitious and hard-working, as comfortable directing an AI agent through a tricky configuration as you are presenting a project plan to an exec. You make up for any gap in experience with hunger and a genuine growth mindset. You derive energy from building relationships, shipping projects, and making customers succeed.

• 4-8 years in a fast-paced, high-bar environment: a startup, scale-up, consulting, banking, or something you built yourself

• Comfortable directing AI tools to produce first-draft work, and confident enough in your own judgment to catch what's wrong. Prior use of tools like ChatGPT, Claude, or Cursor is a strong plus. What matters most is your ability to write clear, specific instructions and evaluate what comes back

• Client-facing experience, or the natural gravitas to be excellent at it. You can point to a time you went well beyond what a client expected

• A track record of doing something exceptionally well, whether that's work, academia, sport, or anything else you've put your mind to

• Comfortable reasoning about system architecture - how data models, primary keys, and integration sequencing interact across a dozen enterprise systems. You don't need to write the integration code, but you need to know why it breaks and be able to reason with the people who do, and you'll need to become an Omnea product expert

• You build real relationships with people at any level, from a junior procurement analyst to a CFO, and know how to handle pushback and stakeholder politics, not just build rapport

• Comfortable running rooms of stakeholders across a genuinely cross-functional tool - on a single project you'll interface with the CPO, Legal, Finance, AP, InfoSec, and Compliance, plus each of their technical resources, often all with competing priorities on the same decision

• Comfortable moving between the detail and the big picture: configuring a workflow in the morning, presenting a project plan to an exec in the afternoon

• Entrepreneurial, have high ownership, and want to be part of building something. We've signed up to the Future Founder Promise

• An excellent communicator: clear and concise, verbal and written, even when the subject is complicated

• Highly organised: comfortable running 3-5 enterprise deployments concurrently, each at a different stage, without dropping any of them

At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out.

A few things to note: