Account Executive – Data Integration & Warehousing (Remote, US-hours) full time

Windsor.ai HQ: Baar, Zug, Switzerland Remote job Apr 28

Company

Windsor.ai (https://www.windsor.ai/)

About us

Windsor.ai is a profitable SaaS that pipes data from 325 marketing & sales sources into BI tools, spreadsheets and modern data-warehouse destinations such as BigQuery, Snowflake, Redshift and Databricks. Our customer base doubles roughly every 10 months, and brands like UBS, Puma, Colgate and Heineken rely on us for always-on analytics. We’re hiring our first closer who can work US time-zones from the Philippines (or a similar UTC +6 … +10 location).

What you’ll do

  • Own the full sales cycle for US $10 k – 60 k ACV deals (discovery → demo → close)
  • Lead proof-of-concepts: connect data, land it in Snowflake/BigQuery, write sample SQL to prove value
  • Build champions, run mutual-action plans and forecast in Salesforce
  • Provide structured product feedback to Engineering and help shape roadmap

Must-have qualifications

  • 3 + years closing B2B SaaS deals ≥ US $25 k, with 100 % + quota attainment
  • SQL fluency (SELECT / JOIN / GROUP BY) and ability to explain ELT vs ETL
  • Hands-on with at least one warehouse (Snowflake, BigQuery, Redshift or Databricks)
  • Familiarity with BI / AdTech stacks: Power BI, Looker, GA4, Google / Facebook Ads
  • Excellent spoken and written English; able to work US Eastern ± 2 hours

Nice-to-haves

  • Power BI or Looker certification
  • Exposure to dbt, Fivetran or Airbyte

Perks

  • Fully remote, senior team with zero corporate politics

Schedule

Full-time ·

40 h/week · Monday – Friday,

9 am – 6 pm US Eastern (night-shift PH time)

How to apply — two mandatory steps

1. Record a 3-minute Loom that:

• Pitches Windsor.ai to a prospect and

• Runs a simple SQL query showing data landed in a warehouse.

2. Create a 30-day territory plan (bullet points are fine) outlining how you’ll build pipeline in your first month.

We reply to every applicant within 5 business days. Ready to level-up the modern data stack? Let’s talk!

Job Skills
Requirements
Availability:
Full-time (40 hrs/wk)
Experience levels:
Intermediate (3 - 5 yrs)
Languages:
English
Negotiable rate