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Fal

NLP-based sentiment & anomaly detection

Field Marketing Manager - Enterprise & ABM

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of experience in B2B field marketing, account-based marketing, demand generation, or integrated marketing, ideally in enterprise technology.
  • Experience building field marketing programs in close partnership with enterprise Sales teams.
  • Strong understanding of account-based marketing and how marketing programs support different stages of the enterprise buying journey.
  • A track record of executing events and experiences tied to account engagement, pipeline, or revenue objectives.
  • Strong commercial judgment and the ability to prioritize programs based on business impact rather than activity.
  • Experience managing budgets, vendors, agencies, and multiple programs simultaneously.
  • Strong project management skills and attention to detail.
  • Experience marketing artificial intelligence, developer tools, infrastructure, or another technical enterprise product.
  • Experience marketing to large strategic or named accounts.
  • Experience building executive programs or high-touch account-based marketing experiences.
  • Experience working with technology or cloud partners on joint field programs.
  • Familiarity with Salesforce and marketing attribution and reporting.
  • Ability to travel regularly based on the field calendar.

Responsibilities

  • Partner with Enterprise Sales to build field marketing plans aligned to priority accounts, territories, pipeline, and revenue goals.
  • Own account-based marketing events and experiences for priority accounts in partnership with Sales and Growth Marketing.
  • Own field programs including executive roundtables, dinners, customer gatherings, workshops, partner activations, and other high-touch experiences.
  • Evaluate third-party conferences and sponsorship opportunities based on audience quality, account coverage, business objectives, and expected impact.
  • Build activation strategies around priority industry events, including executive programming, customer moments, meetings, dinners, and surrounding experiences.
  • Partner with Sales on account targeting, invitation strategy, meeting generation, attendee engagement, and post-event follow-up.
  • Collaborate with Partnerships on co-marketing programs and joint events that extend fal’s reach into priority accounts and audiences.
  • Build repeatable, lightweight programs that allow Sales to activate key markets and accounts without requiring a bespoke event every time.
  • Manage event and program execution end-to-end, including budgets, agencies, vendors, timelines, logistics, and on-site delivery.
  • Partner across Product Marketing, Creative, Community, Partnerships, Marketing Operations, and other teams to deliver cohesive programs.
  • Measure program performance across target-account engagement, meetings, pipeline influence, deal progression, and revenue impact.
  • Capture learnings and build scalable playbooks, processes, and reporting as fal’s field marketing motion grows.

Desired Qualifications

  • Experience in B2B field marketing, account-based marketing, demand generation, or integrated marketing, ideally in enterprise technology.
  • Experience marketing artificial intelligence, developer tools, infrastructure, or another technical enterprise product.
  • Experience marketing to large strategic or named accounts.
  • Experience building executive programs or high-touch account-based marketing experiences.
  • Experience working with technology or cloud partners on joint field programs.
  • Familiarity with Salesforce and marketing attribution and reporting.

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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