Lead GTM Finance Analyst (R5361)
Shield AI is hiring a Lead GTM Finance Analyst (R5361) in Washington DC, United States. It pays $110k-$160k a year and Level rates it ; you can apply on Shield AI.
Level's read on this job
- Uses AI ●●○○ is how Level rates this finance role: an ordinary role that requires AI tools.
- The listed pay starts 5% above the typical finance posting on Level.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a lead role.
- Level lists 663 other open roles at Shield AI.
AI in this role
Job Description:
We are building advanced autonomous systems that redefine the future of defense and national security. Scaling a mission-driven company at this pace requires financial precision, rapid insight, and a data backbone built for speed and accuracy.
We are hiring a GTM Finance business partner to support Sales, Business Development, Marketing, and Customer Success. This is a hybrid role across finance, data engineering, and operational strategy — ideal for someone who moves confidently between modeling, systems, and decision-making.
You will own the end-to-end GTM cost structure: OpEx budgets, headcount planning, spend analytics, and the data pipelines and reporting frameworks that power GTM intelligence. You’ll also set the SOPs and data quality standards that shift finance from reactive reporting to proactive leadership.
If you thrive in high-stakes environments and believe finance should steer the business — not just record it — you’ll excel here.
What you'll do:
-
Headcount & Spend Management
- Build and maintain GTM headcount, spend forecasting, tracking, and capacity model
- Provide full visibility into GTM Opex, identifying cost drivers and resource optimization opportunities
- Monitor actuals vs. plan and forecast; 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 Data Engineering & Analytics Infrastructure
- Partner with Data Engineering and BI to define data architecture, KPIs, and source-of-truth models
- Build automated reporting workflows and capacity models in partnership with Data Engineering or Anaplan teams
- Write and maintain SQL for ETL workflows across the data lake / Databricks environment
- Build and manage scalable, reliable data pipelines powering 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 Data Quality, Governance & SOPs
- Establish and enforce data quality monitoring, validation rules, and anomaly detection
- Write SOPs for key GTM finance processes: close, headcount reconciliation, budget loading, variance reporting
- Drive consistent KPI and metric definitions across GTM, Finance, and Data
- Implement data governance practices to protect reporting integrity
- Identify data or process gaps and propose scalable solutions Cross-Functional Collaboration & Process Improvement
- Partner with Revenue Ops, HR, Recruiting, Accounting, and Data to ensure financial plans match operational reality
- Collaborate with Revenue Operations on quotas, pipeline forecasting, and GTM capacity
- Continuously streamline tools, reporting, and processes with an automation-first mindset
- Lead special projects and strategic analyses for finance leadership
Required qualifications:
- Bachelor’s degree in finance, Accounting, Economics, Business, CS, or related field
- Experience in aerospace, defense, semiconductor, robotics, automotive, or another heavy manufacturing or hardware-driven environment
- 3–6 years of experience in FP&A, GTM Finance, Sales Finance, RevOps, or equivalent analytical roles
- Proficiency with AI tools to improve analysis speed, accuracy, and productivity
- Experience with cloud data platforms (Databricks, Snowflake, Redshift, etc.) and ETL/pipeline concepts
- Demonstrated ability to build headcount models and GTM or corporate OpEx budgets
- Advanced financial modeling skills in Excel; strong driver-based forecasting experience
- Excellent communication skills with both technical and non-technical stakeholders
- Exceptional attention to detail and commitment to data accuracy
- Ability to operate independently in a fast-paced, mission-driven environment
- Must be authorized to work in the United States
Preferred qualifications:
- Experience in defense tech, aerospace, or dual-use hardware/software
- Exposure to U.S. government contracting or milestone-based revenue models
- Proficiency with AI tools to improve analysis speed, accuracy, and productivity
- Experience with Anaplan or similar planning tools; ERP/CRM experience (Oracle, NetSuite, Salesforce)
- Strong SQL skills, including the ability to write, optimize, and troubleshoot queries on large datasets
Who you are:
- Growth mindset — you actively seek feedback, learn quickly, and continuously raise your own bar
- First principles thinker — you dig into the “why” to design smarter, simpler, more scalable solutions
- Data and AI first operator — you automate, streamline, and systematize every process you touch
- Highly collaborative — you build trust across Sales, Ops, Engineering, and Data
- Operationally sharp — you turn messy input into fast, high quality decisions
- Mission driven — motivated by work with real stakes and real impact
- High ownership — you drive projects from ambiguity to execution without waiting to be asked
- Rigorous yet pragmatic — you balance precision with speed and know when each matter
Why this role matters:
The GTM Finance business partner is the connective tissue between our growth ambitions and financial reality. Every headcount plan, marketing dollar, GTM model, and sales capacity decision depends on the insights and infrastructure you build.
You will shape how we invest, how fast we scale, and how effectively we win.
High impact. High visibility. Mission-critical.
This is finance with impact — high visibility, high complexity, and a direct line to the strategic decisions shaping how we go to market and win.
Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
How we rate this
Lead GTM Finance Analyst (R5361) at Shield AI rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- This job starts at
- $110k
- Typical finance job
- $105k
This posting starts 5% above the typical finance job. See finance jobs
Questions you could be asked
- What's a project where you used Databricks hands-on?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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