AI Solutions Lead
Omnea
New York, NY · Posted November 7, 2026
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Our Mission:
Omnea is the agentic operating system for procurement.
Procurement touches every pound a business spends, yet requests still stall for weeks and approvals get lost in inboxes. Our AI-first platform changes that: our agents capture requests, route approvals, onboard suppliers, flag risk and track every renewal, while anyone in the business can ask a question and get an answer grounded in their own company’s data. Buying becomes painless for everyone, procurement gets a seat at the table, and our customers have saved more than 100,000 hours of manual work so far.
Companies like Spotify, PayPal, T. Rowe Price, JustEat, Adyen and S&P Global run procurement on Omnea. We’re backed by $75M from Khosla Ventures, Insight Partners and Accel, and we’ve been named the UK’s number one startup in the Startups 100, ranked 11th on Sifted’s 2026 list of Europe’s fastest-growing companies, and recognised as one of Fast Company’s Most Innovative Companies.
Talent density matters more to us than almost anything else. We keep the bar high in every team, so everyone here has real ownership and real impact. Our team is full of former founders and operators who’ve scaled unicorns, and we’re looking for people who want to do the best work of their careers alongside them.
Find out more about the team and life at Omnea here .
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
Less experience? Check out our Solutions Associate role
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 w