
1001 - 5000 employees
Founded 1972
💸 Finance
💳 Fintech
Finance • Fintech • Automotive
Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.
🕒 June 5
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1001 - 5000 employees
Founded 1972
💸 Finance
💳 Fintech
Finance • Fintech • Automotive
Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.
• Partner with engineering and data science teams to design and review AI architectures, including agentic and multi‑agent systems, for security, privacy, and regulatory compliance. • Perform security reviews of AI/ML systems, including model lifecycle, data pipelines, inference APIs, agent orchestration layers, and third‑party AI services. • Identify and mitigate risks such as: Data leakage and model exploitation, Prompt injection and indirect prompt manipulation, Agent autonomy risks (over‑permissioned agents, unsafe tool use, uncontrolled action execution), Insecure model deployment and inference exposure. • Support threat modeling and risk assessments for AI and agent‑driven workflows, assisting teams in implementing practical mitigations. • Contribute to and operationalize AI and agentic AI security standards, guidelines, and secure design patterns used across the company. • Evaluate AI platforms, agent frameworks, and vendors to ensure alignment with security, privacy, and compliance requirements. • Support responsible AI practices related to explainability, oversight, auditability, and controlled autonomy, in collaboration with legal, compliance, and risk partners. • Act as a trusted security advisor to teams adopting AI, LLM‑based agents, and workflow‑oriented AI systems. • Participate in design reviews and working sessions focused on secure AI and agent deployment. • Provide guidance on secure use of generative AI, internal AI platforms, and agent‑based tools interacting with company systems and data. • Stay current on AI and agentic AI security threats, vulnerabilities, and best practices. • Recommend improvements to tooling, processes, and controls to strengthen AI security posture. • Contribute to internal documentation, training materials, and security enablement related to AI and agent usage.
• Bachelor’s Degree or equivalent experience • 5+ years of experience in application security, cloud security, or product security. • 2 + years of experience in AI security • Experience securing AI/ML systems, LLM‑based agents, or generative AI platforms. • Familiarity with risks unique to agentic AI, such as excessive autonomy, privilege escalation through tools, and unsafe action execution. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments. • Knowledge of regulatory and governance considerations related to AI and automated decision systems. • Experience embedding security into software development workflows (DevSecOps).
• Flexible work options including work from home, on site and hybrid positions • Company provided technology packages for all Team Members • An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members • Extensive growth opportunities as demonstrated by our track record of promoting internally • Ongoing business training and career development opportunities • Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses • Generous PTO and holidays that include 27.5 total days during first full year of employment • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
Apply Now🕒 June 3
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