F

Fal

NLP-based sentiment & anomaly detection

Marketing Operations

Growth MarketingUpdated on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Three to six or more years of experience in marketing operations, revenue operations, or growth operations, ideally in B2B software-as-a-service or developer tools.
  • Experience building lead scoring, lifecycle nurture programs, segmentation, and automated workflows.
  • Familiarity with enrichment and intent tools such as Clay, Apollo, Clearbit, or 6sense.
  • Strong analytical skills and experience with attribution, funnel reporting, and pipeline measurement.
  • Ability to create systems from scratch, solve ambiguous problems, and move quickly.
  • Experience in product-led growth, developer tools, or AI infrastructure.
  • Familiarity with SQL, application programming interfaces, webhooks, and workflow automation tools.
  • Experience building product-qualified lead models using behavioral and usage data.

Responsibilities

  • Build lead scoring models using product usage, firmographics, engagement, and buying intent signals.
  • Own lead enrichment, segmentation, qualification, and routing in partnership with Sales and Revenue Operations.
  • Identify high-intent prospects and accounts, surfacing actionable signals to Sales.
  • Build automated email nurture campaigns across signup, activation, conversion, retention, and expansion.
  • Create behavior-triggered campaigns based on product activity and customer segments.
  • Continuously optimize workflows to improve engagement and conversion.
  • Support campaign operations across events, model launches, webinars, account-based marketing, and lifecycle marketing.
  • Own campaign setup, tracking, and reporting in Salesforce and marketing automation platforms.
  • Manage event marketing operations, including list building, enrichment, lead uploads, and post-event follow-up.
  • Establish reliable attribution and reporting to measure marketing's impact on pipeline and revenue.
  • Build scalable workflows connecting customer relationship management, product data, enrichment tools, and marketing platforms.
  • Automate manual processes and improve data quality across the marketing funnel.
  • Develop dashboards and reporting to track campaign performance, funnel conversion, and revenue impact.
  • Identify operational bottlenecks and implement systems that scale with the business.

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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