Location: Remote – Europe preferred
Type: Full-time
Level: Senior
About Nebuly
Nebuly is a fast-growing, VC-backed startup building the data and intelligence infrastructure for enterprise AI agents.
Every enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale. Every day, millions of conversations happen between employees and customers and these agents. Those conversations are the most valuable new data asset an enterprise produces — but they are unstructured, high-volume, and invisible without the right infrastructure.
Nebuly plugs into the conversations flowing between users and enterprise AI agents, builds structured knowledge graphs from them, and surfaces the patterns that help leaders make decisions on adoption, quality, and ROI.
Every new type of enterprise data has created a new category of software. CRM for customer interactions. Product analytics for user behavior. Nebuly is building that infrastructure layer for AI agent conversational data — a category that will touch every enterprise on the planet.
Our customers include Vodafone, CNH, Oura, and others. Demand is accelerating fast — and we are building the team to match.
Why this role matters
Closing an enterprise pilot is hard. Turning a pilot into a long-term, expanding contract is harder — and it is where this role lives.
As Solution Architect, you sit at the intersection of pre-sales and post-sales. You are the person who convinces a technically skeptical enterprise team that Nebuly will work in their environment. You are also the person who makes sure it actually does — and that the customer gets enough value to expand.
Our product is technically complex. It plugs into enterprise AI infrastructure, handles sensitive conversational data, and often deploys on-premise inside a customer's cloud. The person in this role needs to understand that environment deeply — and earn the trust of the engineers and architects on the other side of the table.
This is not a support role. You are a technical closer and a customer success driver — directly responsible for pilot conversion and revenue expansion.
What you'll do
Pre-sales
* Partner with Sales Directors to win technically complex enterprise deals
* Lead technical discovery: understand the customer's AI stack, data infrastructure, security requirements, and deployment constraints
* Design the integration and deployment architecture for each customer environment (cloud or on-premise)
* Run and manage pilots end-to-end — from technical setup to weekly touchpoints to demonstrating value
* Build the technical business case that converts a pilot into a signed contract
Post-sales
* Own the technical relationship with customers after signature — you are their primary point of contact for anything product or infrastructure related
* 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
* Feed customer insights and product gaps back to the engineering and PM teams
Who you are
* 5+ years of experience in a Solution Architect, Sales 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
* Experience with enterprise AI or data infrastructure is a plus
* Comfortable designing and discussing cloud and on-premise deployment architectures with senior technical stakeholders
* Strong commercial instinct — you understand the link between technical success and revenue, and you act on it
* Excellent communicator: you can translate complex technical concepts for a CIO and dig into infrastructure details with a DevOps team on the same day
* Fluent in English. Additional European languages are a strong plus.
Bonus points
* Experience working with self-hosted or air-gapped enterprise deployments
* Background in LLM infrastructure, AI observability, or data pipelines
* Experience in a startup or early-stage environment where you had to build process from scratch
Compensation & Benefits
* Competitive base salary + bonus
* Compensation is flexible and will be determined based on the candidate's experience and overall fit with the company
* Equity package
Apply now or reach out at
We're excited to meet people who can win technically complex enterprise deals — and make sure customers never want to leave.