Location: London or Remote
Type: Full-time
Level: Senior
Reporting to: Solutions Lead
Nebuly is a fast-growing, VC-backed startup building the platform that proves the ROI of enterprise AI.
Every enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale, and budgets are following fast. But most companies can't answer a basic question: is this spend actually working? Every enterprise deploying AI agents is asking the same question: is this actually delivering value? Today, almost none of them can answer it. The signal that could answer it is right there — millions of conversations happening every day between employees, customers, and these agents — but it's unstructured, high-volume, and invisible without the right infrastructure. So the ROI question stays unanswered, not because the answer doesn't exist, but because no one can see it. Nebuly makes that signal visible. It sits on top of any enterprise AI deployment, turns those conversations into a clear answer — is this working, and where — and connects the dots back to ROI. Think of it as the accountability layer for enterprise AI: connect once, see the impact, prove the value — with no data ever leaving your environment.
Every new data category has created a new software category. CRM turned customer interactions into pipeline accountability. Product analytics turned user behavior into growth accountability. Nebuly is building that same layer for AI — turning millions of invisible conversations into a clear answer on value.
Our customers include Oura, CNH Industrial, Vodafone, and Moncler. Demand is accelerating fast, and we're building the team to match.
Why this role mattersWinning enterprise deals is hard. Turning it into a long-term, expanding contract is harder, and that's where this role lives.
You own the technical side of the customer journey, from first demo to expansion. You convince technically skeptical enterprise teams that Nebuly works in their environment, then make sure it does. Above all, you translate technical data into a meaningful value proposition for C-level audiences.
This is not a support role. You are a technical closer and a value driver, directly accountable for pilots conversion and revenue expansion.
Why it's funYou work hand in hand with large enterprises across UK on their AI projects.
You show customers the ROI they get from AI, and help them improve it with Nebuly insights.
You shape the product: we're customer-obsessed, and what you see in the field drives what we build.
Partner with Sales Directors to win technically complex enterprise deals.
Own pilots end to end, from technical setup to demonstrating value, and build the technical business case that turns them into signed contracts
Run demos for prospects, from technical teams to C-level
Lead technical discovery: the customer's AI stack, data infrastructure, security requirements and deployment constraints
Design the integration and deployment architecture for customers and prospects (cloud or on-premise)
Monitor adoption, identify risks early, and work proactively with the customer to drive usage and value realization
Identify and develop expansion opportunities in collaboration with the Sales team
Work closely with Sales to meet customer expectations and grow accounts
Work closely with Product Management and Engineering to evolve the product based on customer needs
5+ years of experience in a Solution Architect, Sales Engineer, Solutions Engineer, or Technical Account Manager role in a B2B SaaS environment
Deep familiarity with enterprise observability, monitoring, or analytics infrastructure - background at or with companies like Datadog, Dynatrace, Splunk, New Relic, or similar is a strong signal
Excellent communicator, at ease with prospects, customers and large audiences: you can pitch to a C-level in the morning and dig into infrastructure with a DevOps team in the afternoon
Strong commercial instinct: you understand how technical success drives revenue, and you act on it
You like owning decisions, finding creative solutions and tackling hard technical challenges
Solid knowledge of LLMs, Kubernetes and cloud deployments
Comfortable discussing deployment architectures with senior technical stakeholders
Willing to travel about 20% of the time
Additional languages, always welcome
Startup or early-stage experience
Experience with self-hosted or on-premise enterprise deployments
Experience in a startup or early-stage environment where you had to build process from scratch
A seat at the table with Fortune 500-scale customers on their most strategic AI projects
A small, senior team with high ownership and autonomy, working directly with the founders
Application review.
Screening Interview
Logical Test
Hiring Manager Interview
Sales presentation
Final Call
If you've done this before and want to do it again, at the right moment and in the right market, apply now.
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