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Fal

NLP-based sentiment & anomaly detection

Strategic Account Lead

Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 10 years of experience selling into enterprise organizations, ideally to developer, engineering, or technical buyers, with meaningful experience in media, entertainment, gaming, or sports.
  • A proven record of owning revenue portfolios of at least $10 million and meeting or exceeding quota for at least three years.
  • Experience building new-business and go-to-market motions rather than only operating established ones.
  • Command of complex, multi-stakeholder deal strategy and comfort working directly with C-level executives inside large organizations.
  • Ability to translate deep technical concepts into clear business value for technical and non-technical audiences.
  • Fluency in leading customer events, including customer advisory boards, conferences, and launches, and synthesizing them into strategy.

Responsibilities

  • Own a book of high-value media, gaming, and sports accounts from first conversation through signing, launch, and growth.
  • Build the go-to-market motion for the vertical by identifying where fal wins, designing the approach, and creating the playbook.
  • Carry and exceed a consumption-based revenue target, with rigorous forecasting and pipeline discipline.
  • Partner with engineering and product to scope and deliver complex technical customer solutions.
  • Run executive engagements, including briefings, quarterly business reviews, and industry events, to demonstrate fal's impact to C-level buyers.
  • Turn account and market signals into insights that guide customer strategy and the product roadmap.
  • Stay current on the AI and generative-media landscape and bring that intelligence to customers and the team.

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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