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Fal

NLP-based sentiment & anomaly detection

Account Manager - Commercial

Account ManagementConfirmed live in the last 24 hours
Full-timeİstanbul, Türkiye

About the Job

Requirements

  • At least 3 years of experience in SaaS account management, renewals, or customer success with a quota or retention target.
  • Experience managing customers across several EMEA countries.
  • Strong negotiation, deal-structuring, and contract-management skills, including legal and security reviews.
  • A record of growing accounts by finding new workloads and negotiating commercial terms.
  • Professional fluency in English.
  • Proficiency with Salesforce.

Responsibilities

  • Own relationships with existing customers across EMEA, from high-growth startups to large European accounts.
  • Drive retention and growth by running renewal cycles to close on time and securing larger commitments where appropriate.
  • Expand accounts by identifying new teams, use cases, and workloads within existing customers, and introducing new fal models and capabilities.
  • Own each contract renewal from initial outreach through negotiation, signature, and execution, including EU legal, security, and DPA reviews.
  • Explain fal's impact, usage, and return on investment to customer stakeholders through regular business reviews.
  • Prioritize a mixed book of many smaller usage-based accounts and several large strategic accounts.
  • Maintain accurate forecasts and Salesforce records, and work during overlap hours with US-based teams.
  • Follow existing processes and help adapt the playbook to EMEA markets.
  • Travel regularly to customers across EMEA and to the San Francisco headquarters.

Desired Qualifications

  • Turkish, German, French, or Arabic language skills.
  • Background in AI platforms, cloud, or data infrastructure.
  • Experience with consumption- or usage-based pricing.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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