We're growing our team and looking for a Pre-Sales Solutions Architect to join us at Euno.
About Euno
Enterprise AI fails at scale because agents don’t understand the data they’re operating on. They dont know how it flows, what it means, who owns it, whether it’s trusted, or what rules govern it. Most companies are drowning in data sprawl, disconnected tools, and undocumented pipelines, and their AI initiatives are paying the price.
Euno solves this for our customers today. We integrate across the modern data stack to pull metadata from lakes, warehouses, BI, ETL/ELT, data quality, DSPM, and MDM platforms. We automatically generate a unified context layer that captures lineage, definitions, usage, ownership, and governance, and surface it in real time to any AI agent acting on enterprise data. Our customers depend on Euno for safe, accurate, and explainable agent execution at scale.
The Role
We’re currently building out our founding presales team. You’ll be the technical counterpart to our AEs across enterprise deals, owning the technical win from discovery through close. Your buyers are data engineering and analytics leaders who will stress-test everything. You’ll partner on POCs, lead deep-dives into complex data stacks, and make Euno’s value undeniable.
This is an early hire. You’ll shape how we run evaluations, what our demo environments look like, and how we scale the presales motion. This role requires up to 25% travel for on-site customer meetings, POC engagements, and industry conferences.
Responsibilities
- Own the technical evaluation end-to-end: discovery, demo, POC design and execution, and post-close handoff
- Build tailored demo environments that map directly to a prospect’s data architecture
- Lead deep technical conversations with data engineers, analytics engineers, and architects, and translate outcomes for the C-suite
- Become a trusted advisor on data governance, lineage, metadata management, and AI agent readiness
- Bring field intelligence back to Product: what’s landing, what’s missing, what’s next
- Help build the presales playbook from scratch
Requirements
- 3 to 5 years in presales, solution architecture, or technical consulting
- Deep familiarity with the modern data stack: warehouses, dbt, Looker/Tableau/Power BI, orchestration, ETL/ELT. You don’t need to write the pipelines, but you need to understand why they matter
- Experience running POCs and technical evaluations in enterprise sales cycles
- Comfortable with data governance, lineage, and metadata concepts, or eager to go deep fast
- AI-native is a must. You actively use AI tools in your daily workflow, you understand how LLMs and agents interact with enterprise data, and you can speak credibly to prospects about what it actually takes to make AI work in production
- Hands-on familiarity with enterprise AI platforms like Anthropic Claude, Snowflake Cortex, or Databricks Genie is a strong plus
- Self-directed, intellectually curious, and energized by building. Early-stage means no playbook yet, and that should excite you
Why Euno
- The problem is real and urgent. Enterprises are stuck between AI ambition and data chaos
- Early enough to earn meaningful equity and shape how we sell
- Technical founders, differentiated product, zero legacy baggage
- Remote-first across the US
Euno what to do!