# Regional Sales Manager - EMEA

**Company:** [Sigma](https://hotfix.jobs/companies/sigma)
**Location:** London, United Kingdom
**Role:** Account Executive
**Experience:** 3+ years
**Skills:** SaaS, Enterprise Sales, Salesforce, Data Analytics, Business Intelligence, MEDDIC, MEDDPICC, Sales Prospecting, Pipeline Management, Partner Ecosystems
**Posted:** 2026-08-26

> Own Enterprise sales across London and the broader UK/EMEA region, managing complex SaaS deals from prospecting through close. The role requires at least three years of Enterprise closing experience, strong quota performance, executive selling, and willingness to travel.

## Job Description

## Responsibilities
- Own a named territory of Enterprise accounts with 3,000+ employees.
- Run the full sales process from first call through proposal, proof of value (POV), and contract.
- Maintain accurate Salesforce pipeline and forecast data.
- Drive new revenue through consultative selling grounded in data and analytics expertise.
- Acquire new customers, build advocates in the business intelligence market, and engage ecosystem partners to build pipeline.
- Prospect through cold calls, email, LinkedIn, and other outbound channels.
- Navigate complex, multi-stakeholder sales cycles with VP- and C-level buyers.
- Travel across London, the wider UK, and periodically elsewhere in EMEA to meet prospects and customers on-site, approximately 25% of the time.

## Requirements
- 3+ years of experience closing SaaS deals with Enterprise accounts of 3,000+ employees.
- Experience managing complex sales cycles involving multiple stakeholders and VP- or C-level buyers.
- Demonstrated quota performance of at least 100% attainment in at least 80% of a sales career.
- Strong prospecting skills and willingness to conduct outbound activities.
- Experience working with partner ecosystems to build pipeline and advance deals.
- Must be based in London, United Kingdom, or willing to relocate.

## Nice-to-Haves
- Experience with the MEDDIC or MEDDPICC sales methodology.
- Experience in data warehouses, data pipelines, analytics, or related data technology.

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