New Business Account Executive - Nordics (Spain)

Revolut; Mos; A distancia; EUR 26.000 - 57.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Uncapped accelerators

Free-forever product

Descripción de la vacante

Windsor.ai is seeking a remote AI-native sales professional to own the full cycle for $10-60k ACV deals, helping teams connect data to Claude, ChatGPT, Copilot, and BI stacks. You will use LLMs for research, planning, and follow-up while collaborating with engineering on market insights and connectors.

You will be fluent with LLM tools, proficient in SQL, and comfortable with at least one warehouse and BI tools, operating within CET time zones.

Formación

• Fluent with LLM tools (Claude / ChatGPT / Copilot) and able to demo live data connections.
• Basic SQL (SELECT / JOIN / GROUP BY) and understanding ELT vs ETL.
• Hands-on experience with at least one data warehouse (Snowflake, BigQuery, Redshift, Databricks).
• Familiarity with BI/AdTech tools (Power BI, Looker, GA4, Google Ads, Meta Ads).
• Excellent English; able to work within +/-2h CET.

Responsabilidades

• Own the full cycle for $10-60k ACV deals (demo to close).
• Demonstrate how to push data into Claude, ChatGPT, Copilot, and warehouse/BI stacks in minutes, no code.
• Operate as an AI-native seller, leveraging LLMs for research, account planning, personalization, and follow-up.
• Collaborate with engineering and feed market insights back to product (LLM destinations, write-back actions, new connectors).

Conocimientos

LLM tools fluency

SQL basics

Data warehouse

BI/AdTech familiarity

English proficiency

Herramientas

Snowflake

BigQuery

Redshift

Databricks

Power BI

Looker

Descripción del empleo

We connect 350+ marketing and sales data sources to wherever teams actually work today: Claude, ChatGPT, and Copilot (native, one-click MCP), plus BI tools, spreadsheets, and warehouses like BigQuery, Snowflake, Redshift, and Databricks. We power analytics for UBS, Puma, Colgate, and Heineken, our customer base doubles roughly every 10 months, and we are adding our first US-time-zone closer.

Why you'll love it

• You sell the category everyone is asking about. Windsor.ai is one of the few data platforms natively listed in the Claude and ChatGPT app directories , so you lead with "your data, live in your AI chat," not "why AI matters."
• Customer count doubles every ~10 months, and commission is uncapped.
• Senior, 100% remote team. Ship ideas in days, not quarters.
• Direct line to everyone in the company and a roadmap you can influence.
• Build skills across MarTech, modern data stacks, and the emerging agentic/MCP ecosystem.

What you'll do

• Own the full cycle for $10-60k ACV deals (demo to close), including consolidating fragmented, self-serve customers (multiple teams, regions, or agencies) into single Enterprise agreements .
• Show customers how to get their data into Claude, ChatGPT, Copilot, and their warehouse/BI stack in minutes, no code.
• Be an AI-native seller: use LLMs across research, account planning, personalization, and follow-up. We expect the person doing the selling to run their own stack on AI.
• Partner with engineering and feed product with market insight (LLM destinations, write-back actions, new connectors).

Must-haves

• Genuinely fluent with LLM tools (Claude / ChatGPT / Copilot). You use them daily and can demo connecting live data to them.
• SQL basics (SELECT / JOIN / GROUP BY), and can talk ELT vs ETL and how clean data feeds AI agents and MCP.
• Hands‑on with at least one warehouse (Snowflake, BigQuery, Redshift, or Databricks).
• Familiarity with BI/AdTech (Power BI, Looker, GA4, Google and Meta Ads).
• Excellent English, ready to work within ±2h of Central European Time.

Nice-to-haves

• Built with or sold products that use MCP / AI agents, and understand how connectors plug into Claude or ChatGPT.
• Power BI / Looker certs.
• OTE US $30,000-65,000 (60/40 split) plus uncapped accelerators.
• 100% remote, and a free-forever product you can learn on from day one.

Ready to help teams put their data to work inside AI? Let's talk.