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Shield AI

Builds autonomous aircraft for defense

Lead Go-to-Market Finance Analyst

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • A bachelor's degree in finance, accounting, economics, business, computer science, or a related field is required.
  • Experience in aerospace, defense, semiconductor, robotics, automotive, or another heavy manufacturing or hardware-driven environment is required.
  • Three to six years of experience in FP&A, GTM Finance, Sales Finance, Revenue Operations, or equivalent analytical roles is required.
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity is required.
  • Experience with cloud data platforms such as Databricks, Snowflake, or Redshift, and ETL or pipeline concepts is required.
  • Demonstrated ability to build headcount models and GTM or corporate operating expense budgets is required.
  • Advanced financial modeling skills in Excel and strong driver-based forecasting experience are required.
  • Must be authorized to work in the United States.
  • Excellent communication with technical and non-technical stakeholders, exceptional attention to detail, data accuracy, and the ability to operate independently in a fast-paced environment are required.

Responsibilities

  • Build and maintain GTM headcount, spend forecasting, tracking, and capacity models.
  • Provide visibility into GTM operating expenses, identify cost drivers, and find resource optimization opportunities.
  • Monitor actuals against plans and forecasts, and drive accountability with cost center owners.
  • Partner with Data Engineering and system owners to automate headcount reconciliations across HR, Finance, and GTM systems, including unit economics.
  • Partner with Data Engineering and business intelligence teams to define data architecture, key performance indicators, and source-of-truth models.
  • Build automated reporting workflows and capacity models with Data Engineering or Anaplan teams.
  • Write and maintain SQL for ETL workflows across the data lake and Databricks environment.
  • Build and manage scalable, reliable data pipelines for GTM finance reporting.
  • Create semantic data models and curated reporting tables for consistent cross-team metrics.
  • Build dashboards in Databricks, Power BI, or similar tools for real-time GTM visibility.
  • Establish and enforce data quality monitoring, validation rules, and anomaly detection.
  • Write standard operating procedures for close, headcount reconciliation, budget loading, and variance reporting.
  • Drive consistent KPI and metric definitions across GTM, Finance, and Data.
  • Implement data governance practices that protect reporting integrity.
  • Identify data or process gaps and propose scalable solutions.
  • Partner with Revenue Operations, HR, Recruiting, Accounting, and Data to align financial plans with operational reality.
  • Collaborate with Revenue Operations on quotas, pipeline forecasting, and GTM capacity.
  • Streamline tools, reporting, and processes through automation.
  • Lead special projects and strategic analyses for finance leadership.

Desired Qualifications

  • Experience in defense technology, aerospace, or dual-use hardware/software is preferred.
  • Exposure to U.S. government contracting or milestone-based revenue models is preferred.
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity is preferred.
  • Experience with Anaplan or similar planning tools and ERP or CRM systems such as Oracle, NetSuite, or Salesforce is preferred.
  • Strong SQL skills, including writing, optimizing, and troubleshooting queries on large datasets, are preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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