Account Executive (Remote, US time zone)

Windsor.ai

Argentina

A distancia

ARS 45.391.000 - 98.348.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

100% remote team
Uncapped accelerators

Descripción de la vacante

Windsor.ai is seeking an AI-native seller to close $10-60k ACV deals and consolidate multi-team, multi-region customers into single Enterprise agreements. You will show customers how to connect data to Claude, ChatGPT, Copilot, and their BI stack in minutes without code.

The role emphasizes hands-on use of LLMs for research, account planning, and personalized outreach, with a 100% remote team and uncapped accelerators.

Formación

  • Genuinely fluent with LLM tools (Claude, ChatGPT, Copilot).
  • SQL basics (SELECT, JOIN, GROUP BY) and ELT vs ETL concepts.
  • Hands-on with Snowflake, BigQuery, Redshift, or Databricks.
  • Familiarity with BI/AdTech tools (Power BI, Looker, GA4, Google/Meta Ads).
  • Excellent English; able to work within US Eastern time +/-2h.
  • Experience with MCP/AI agents and connectors to Claude or ChatGPT.
  • Power BI or Looker certifications.

Responsabilidades

  • Own the full sales cycle for $10-60k ACV deals (demo to close).
  • Consolidate fragmented self-serve customers into Enterprise agreements.
  • Demonstrate data integration into Claude, ChatGPT, Copilot, and BI stacks.
  • Leverage AI-native selling techniques across research, planning, and follow-up.

Conocimientos

LLM tools fluency
SQL basics
Data warehouses
BI/AdTech familiarity
English proficiency
MCP / AI agents experience
Certifications (Power BI/Looker)

Herramientas

Claude
ChatGPT
Copilot
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 US Eastern.
  • 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.

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