Omnea develops an AI-native procurement intake and supplier relationship management platform for enterprise finance and risk teams.
OUR MISSION At Omnea, we’re reinventing how enterprise businesses operate, starting with the most painful parts: procurement – where a single purchase can drag on for months, trigger 50+ emails, and pull in Finance, Legal, Security, and IT just to get something approved. We’ve raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient – one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility. The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it. We’ve 10x’d ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We’re now the 4th fastest growing startup https://sifted.eu/leaderboards/sifted-future-50-2025 in Europe & the Sunday Times' #1 Best Medium Sized Tech Company To Work for. Our team previously scaled Tessian (cybersecurity tech, backed by Sequoia, Balderton, Accel, acquired post-Series C), and our team includes ex-founders operators who’ve grown unicorns, shipped world-class products, and executed at the highest levels. You’ll work alongside leaders like Ben https://www.linkedin.com/in/ben-freeman-a8542166/, Abs https://www.linkedin.com/in/abhirukt/, Sabrina https://www.linkedin.com/in/scastiglione/, and Rebe https://www.linkedin.com/in/rebecatristan/. FIND OUT MORE ABOUT THE TEAM AND LIFE AT OMNEA HERE https://www.youtube.com/playlist?list=PLpjeHyocsu3ZoDn3sfODjqIR2L_DW3dgb. 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