F

Fal

NLP-based sentiment & anomaly detection

Vendor Management Professional

Procurement & SourcingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of experience in vendor management, cloud partnerships, strategic sourcing, or infrastructure procurement within the AI, GPU, cloud, or hyperscale infrastructure industry.
  • Direct experience working with neocloud, hyperscaler, or GPU infrastructure providers, owning commercial relationships and vendor performance.
  • Ability to manage contract records, reconcile invoices, calculate credits, and maintain accurate vendor documentation.
  • Ability to own vendor escalations, run quarterly business reviews and scorecards, and communicate with executive vendor contacts and internal stakeholders.
  • Experience managing multi-vendor allocation by priority during shortages.
  • Experience establishing a vendor-management function from scratch at a neocloud or hyperscaler.

Responsibilities

  • Own vendor performance across GPU hyperscalers and neocloud providers by defining and tracking service-level agreements, managing escalations, remedies, and service credits, and holding partners accountable to commitments.
  • Build strategic relationships with key infrastructure partners through regular business reviews and executive engagement with Tier 1 vendors.
  • Align capacity to demand by partnering with Capacity Planning to secure committed GPU capacity, forecast growth, and mitigate supply constraints.
  • Own vendor governance, including contract compliance, invoice reconciliation, renewals, and performance reporting.
  • Run regular business reviews with vendor partners to discuss performance, open credit claims, capacity planning, and outstanding issues.

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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