Operations Analyst (Legal & Compliance) (AI)
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Описание вакансии
TL;DR
Operations Analyst (Legal & Compliance) (AI): Managing corporate entity compliance and brand protection for an AI-powered car ownership super app with an accent on process automation and regulatory risk mitigation. Focus on building scalable legal workflows using AI/low-code tools, conducting compliance audits, and partnering with product teams to reduce user friction.
Location: Remote (Must be based in the US or Canada)
Salary: $65,000 – $80,000
Company
is an AI-powered super app designed to radically simplify car ownership, providing automated services from insurance to maintenance for millions of users.
What you will do
- Own entity compliance by maintaining corporate "Good Standing" across the US and Canada.
- Protect brand intellectual property by monitoring infringements and initiating cease-and-desist workflows.
- Investigate complex consumer escalations and spearhead compliance training initiatives.
- Partner with Engineering and Product teams to identify and implement systemic improvements to reduce compliance risk.
- Lead operational compliance audits to ensure practices set the industry benchmark for excellence.
- Automate manual legal chores into scalable workflows using AI and low-code tools.
Requirements
- Bachelor’s degree from an academically rigorous program.
- Proven track record of extreme resourcefulness and a driver mindset.
- Proficiency or strong interest in using AI and technology to optimize workflows.
- Zero-error mentality regarding regulatory filings and high organizational rigor.
- Ability to operate with urgency and ownership in a high-performance startup environment.
- Must be based in the United States or Canada.
Culture & Benefits
- Comprehensive health, dental, and vision coverage.
- Paid time off and paid parental leave.
- 401(K) (US) or RRSP (Canada) plan with employer matching.
- Equity opportunities through stock options.
- Meritocratic culture with mentorship from serial entrepreneurs and leaders from Amazon, McKinsey, and BCG.
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