Controllership AI & Automation Intern
AxonBoston, Massachusetts, United StatesPosted 21 April 2026
Job Description
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As a Controllership AI Automation Intern, you will support targeted AI, analytics, and automation initiatives that improve the speed, quality, and scalability of Controllership processes. You'll be embedded on a scoped workstream for approximately 3 months — partnering with Accounting, IT/Engineering, and other Finance stakeholders to deliver real, measurable results. This is a hands-on builder role. You'll join meetings with process owners, help map current-state workflows and pain points, contribute to defining requirements, and use AI and automation tools to develop solutions. Depending on the initiative, you may work alongside IT/data teams, enable process owners to build solutions themselves, or get directly hands-on building them with us.
What You'll Do
Reports to: Director, NPI and AI Lead, Chief of Staff
Support the identification and scoping of AI/automation opportunities within a defined Controllership process area (e.g., Accounting Operations, Revenue Accounting, Financial Reporting, Tax, or Internal Audit)
Participate in stakeholder meetings to understand current-state workflows, pain points, and requirements — and help translate them into solution options
Help build documentation that supports SOX/audit readiness: process flows, control mapping, test evidence, and usage guidelines
Assist with testing, UAT coordination, and rollout support for solutions developed during the engagement
Present findings, progress, and recommendations to Controllership leadership at the close of your engagement
What Success Looks Like
You deliver a scoped, working solution (or meaningfully advance one) within your ~3-month engagement — something the team can build on or put into production
You reduce manual effort or cycle time in at least one targeted workflow, with clear before/after documentation
Your work is auditable and control-safe
Process owners and teammates feel equipped to sustain or extend what you built
What You Bring
Currently pursuing a degree in Finance, Accounting, Computer Science, Data Science, Information Systems, or a related field
Familiarity with financial accounting concepts (e.g., reconciliations, journal entries, close process, Order-to-Cash or Record-to-Report) and/or hands-on experience with data or AI tools — ideally both
Comfortable working with structured data; experience with SQL, Python, or Excel is a plus
Exposure to or genuine curiosity about AI tooling (e.g., Claude, ChatGPT, Copilot, Cursor) and how it can be applied to finance workflows
Strong communicator who can translate between Finance stakeholders and technical teams
Able to gather context quickly, work independently within a defined scope, and deliver within a fixed timeline
Bonus Points
Hands-on experience with LLMs, prompt engineering, or AI workflow tools
Exposure to ERP or financial close systems (NetSuite, SAP, D365, Oracle, or similar)
Experience with business intelligence or automation tools (e.g., Power Query, Alteryx, Power Automate)
Prior internship experience in finance, accounting, or a data/engineering role
Program Details
Duration: ~3 months
Engagement type: Project-based, scoped to a specific Controllership AI initiative
Team: Controllership / Finance, reporting to the Director, Chief of Staff (Controllership)
Axon’s hourly pay philosophy is made up of base pay and bonus. The actual hourly pay is dependent upon many factors suc ... (truncated, view full listing at source)
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