Applied AI Consultant
Role Summary
Join Omnea as an Applied AI Consultant to work with strategic customers, identifying AI opportunities and translating them into business value within procurement.
About the Organisation
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 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, Abs, Sabrina, and Rebe.
You might be a great fit if you…
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.
- You'll spend more time on problem framing and validation than on hand-building every proof of value. AI can generate a working prototype fast; your job is deciding whether it actually solves the customer's problem.
- Writing a sharp brief for what you want AI to build is now core to the role, not a side skill.
- Judgment on business impact matters more than raw build speed: which use case actually moves the metric the customer cares about, and which is just an impressive demo.
- You'll keep pushing on what's possible as Omnea's AI tooling evolves, and bring what you learn back to the rest of the team.
- have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
- enjoy translating business challenges into technical solutions
- can communicate complex technical concepts to business and executive stakeholders
- have a good understanding of business processes across procurement, finance, and supply chain, with the ability to translate high-level business needs into specific AI use cases
- demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos
- know how to measure the business impact of what you've delivered, and can turn that into a clear story for stakeholders - time saved, error rates down, adoption up, whatever the metric that actually matters to that customer
- have hands-on experience identifying, designing, and building automations or AI-driven solutions for repeatable processes, not just scoping them on paper
Key Responsibilities
- Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
- Design AI-Powered Solutions: Translate complex business problems into scalable solution architectures, using Omnea's AI to eliminate manual work across procurement.
- Prototype and Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
- Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
- Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realisation of measurable value from AI deployments.
- Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organisation.
Requirements
Eligibility Criteria
The job does not specify eligibility for applicants from Africa or any requirements regarding visa sponsorship.
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