Manager, AI Product Engineering

atOrigami RiskRemoteUS flagUnited StatesFull-timeFull-stack EngineerMid-levelSenior$145k – $185k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the daily execution of delivery for one or more AI-driven product sectors

• Track incoming tasks, recognize conflicts, sequencing issues, technical dependencies, and delivery risks

• Guarantee the consistent application of sanctioned technical patterns, tools, and guidelines

• Maintain awareness of delivery status, risks, and dependencies; escalate issues with proposed solutions and recommendations

• Balance the pace of delivery with maintainability, security, compliance, and user experience

• Promote continuous enhancements in delivery practices, tool utilization, and execution efficiency

• Collaborate with Product and Backend Engineering on architectures, platform limitations, requirements, and task sequencing

• Ensure compliance with secure-by-design principles, design systems, UX patterns, integration strategies, and AI-assisted assembly methods

• Work in coordination with Engineering, Security, DevOps, and QA on handoffs, shared ownership, and SDLC processes

• Directly supervise, mentor, and develop AI Product Engineers

• Set standards for delivery quality, ownership, technical rigor, and cross-functional collaboration

• Lead performance management and compensation-related processes, including annual evaluations

• Facilitate career development through feedback, skills coaching, and growth planning

• Emphasize security, compliance, governance requirements, and Origami Risk’s values


⛳️ Requirements

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related discipline

• Experience in engineering roles adjacent to product development, technical solutions, platform configuration, or AI-assisted development

• Preferred experience in leading or managing technical teams

• Strong systems thinking abilities, including APIs, integration patterns, data flows, and platform constraints

• Practical experience with low/no-code platforms or AI-assisted engineering tools

• Solid product-oriented mindset and capability to mentor engineers on user-centric design and execution

• Experience in secure, regulated environments

• Knowledge of secure SDLC practices

• Excellent communication, prioritization, and cross-functional collaboration skills


🏝️ Benefits

• Bonus eligibility

• Medical and dental coverage for employees, dependents, domestic partners, and spouses

• Paid time off with flexible options

• 10 paid company holidays where applicable

• Vision insurance

• Short- and long-term disability insurance

• Basic life insurance

• Generous family leave options, including adoption and foster care placements

• Flexible Spending Account

• Health Savings Account

• Commuter Benefits

• Dependent Care Savings Account

• 401(k) with company matching up to 4%

• Employee Assistance Program (EAP)

• Education Assistance Program for industry/role-specific certifications

• Wellness reimbursement program

• Pet insurance

• Critical illness insurance

• Voluntary life and AD&D coverage

• Hybrid work arrangement; many positions eligible to be completely remote

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