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HumanSignal

Data labeling platform with human supervision

Director of Finance

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 5 years in an FP&A, finance, or business analytics role at a high-growth startup, or relevant experience in management consulting.
  • Experience building financial infrastructure largely from scratch and comfort being the first dedicated finance hire.
  • Strong command of SaaS metrics, including ARR, NDR, CAC payback, and gross margin.
  • Strong analytical ability and advanced modeling skills.
  • Experience preparing board materials, investor updates, and executive-level reporting.
  • Ability to build a case and present a persuasive story that drives organizational decision-making.
  • Ability to own complex projects end-to-end with minimal direction.
  • Familiarity with and use of the latest AI tools to improve efficiency.
  • In the application, describe a financial model you built that turned out to be wrong and what it taught you.

Responsibilities

  • Own the full P&L and free cash flow forecast, and build and maintain the long-range financial model.
  • Lead annual and quarterly planning, including budgets, variance analysis, and ad-hoc modeling.
  • Deliver weekly KPI reporting to the executive team and board/investor reporting packages.
  • Run deal desk operations with Sales and Customer Success to ensure coherent deal structure and pricing.
  • Build and manage sales commission and incentive plans.
  • Develop, align, and drive accountability around company-wide KPIs.
  • Own the financial model for the labeling services business, including project-level profitability, utilization, and margin analysis.
  • Partner with services leadership to develop pricing models, capacity planning, and resource forecasting.
  • Track and report services revenue, backlog, and pipeline as a distinct business line alongside software ARR.
  • Own end-to-end board meeting preparation, including deck creation, data packages, and follow-ups.
  • Partner with leadership on strategic initiatives, business cases, and scenario planning.
  • Serve as the primary liaison to external accounting, tax, and payroll services.
  • Within the first 30 days, take over the financial model, P&L, and free cash flow forecast and identify gaps or errors; deliver a board data package; produce an initial labeling services P&L with project-level margin visibility; and audit external accounting and payroll vendors and present recommendations.
  • Within the first 90 days, own board preparation end-to-end; launch a company-wide KPI framework with named owners, targets, and a weekly reporting cadence; work with Product on pricing for new products and add-ons; and deliver a revised deal desk process with documented pricing guardrails and approval workflows.
  • Within the first six months, rebuild the long-range financial model for scenario planning across software and services; execute at least two pricing or cost optimization initiatives with measurable impact; and serve as leadership's primary resource for financial questions.

Desired Qualifications

  • Experience with services or professional services financial modeling, including utilization, project margins, and blended rates, is a strong plus.

About the Company

HumanSignal

Data labeling platform with human supervision

HumanSignal provides a data labeling platform that helps improve AI models by combining automation with human supervision. Label Studio is a subscription-based tool with features like custom UI building, pre-built labeling templates, team permissions, and workflow optimization, supporting multiple data types so clients can label data using automated processes and human review as needed, with optional custom integrations and advanced support. It differentiates itself by blending automated labeling with human-in-the-loop review in a highly configurable platform, including per-user permissions, adaptable UI, and workflow customization across data types. Its goal is to help organizations produce high-quality labeled data at scale for AI models through a flexible labeling platform plus professional services and integrations.

Company size
51-200
Company stage
Series A
Total funding
$25.2M
Headquarters
San Francisco, CA
Founded
2018

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