Zone & Company Software Consulting LLC (“Zone”) is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. We are redefining how finance teams operate by delivering an AI-powered system that automates, connects, and scales financial workflows directly within the ERP.
As the AI operating system for finance teams in NetSuite, Zone enables more than 4,500 customers worldwide to run smarter, faster, and with greater accuracy. Our platform spans the full financial lifecycle, including Quote-to-Cash, Procure-to-Pay, Treasury, Payroll Management, and Record-to-Report, eliminating manual processes and unlocking real-time financial intelligence.
By embedding intelligence directly into NetSuite, Zone helps finance teams move beyond reactive work to proactive, strategic impact. Learn more at www.zoneandco.com or follow us on LinkedIn: linkedin.com/company/zoneandco.
About the Job:
Under the direction of the Director of Engineering, the Platform Product Engineer acts as a high-leverage technical leader bridging robust platform architecture and product-centric AI innovation. This role handles high-stakes ambiguity and complexity, balancing scalable infrastructure and platform foundation work with the direct delivery of user-facing AI product features. The Platform Product Engineer collaborates closely with Product, Architecture, and Platform leads to convert complex business requirements into high-integrity technical plans, advancing Zone’s product vision by engineering reliable AI features and agentic workflows embedded within a scalable, production-grade platform.
Essential Job Functions
Architect and deliver complex, high-value platform systems and customer-facing AI product features across the Zone platform, ensuring high performance, observability, and scalability.
Balance core platform engineering responsibilities with product engineering priorities, translating business and user needs into seamless technical execution.
Design and maintain foundational platform infrastructure to empower product teams to build, test, and ship AI-native capabilities rapidly and safely.
Drive the engineering of automated validation frameworks to verify AI-generated features and core business logic against strict financial standards.
Anticipate architectural pressure points and resolve bottlenecks before they impact roadmap delivery.
Champion the use of modern coding tools, agentic SDLC, and product-focused AI workflows to maximize engineering velocity and product quality.
Stay current with emerging AI technologies and research, recommending innovative approaches
Manage time effectively to meet project deadlines and deliverables
Exemplify Zone & Co’s culture, providing exceptional service and aligning with company values at all times
Responsibilities / Duties / Tasks
Architect, deploy, and support production-grade platform infrastructure and AI product features, including agentic workflows and interactive user experiences.
Decompose vague software requirements into staged execution plans that mitigate risk and enhance delivery predictability.
Establish and maintain robust automated validation and verification discipline for AI models and business logic.
Proactively refactor fragile path areas and maintain exemplary code quality in Python, JavaScript/TypeScript, and associated AI frameworks.
Translate technical debt and architectural tradeoffs into clear business consequences for engineering leadership and cross-functional stakeholders.
Integrate AI/ML models with existing backend and frontend systems
Mentor mid-level and junior engineers through rigorous design guidance, thorough code reviews, and the promotion of AI-native best practices.
Participate in code reviews and provide constructive feedback to peers
Contribute to the evaluation and adoption of new infrastructure or cloud services for AI workloads
Manage and optimize AWS services including ECS, Lambda, Postgres, DynamoDB, S3, Bedrock, and Amplify for scalable AI and platform infrastructure
Communicate outcomes, technical details, and challenges to both technical and non-technical audiences
Maintain a strong commitment to data quality, privacy, and ethical AI development
Engage in ongoing learning and professional development aligned with Zone & Co’s strategic objectives
**Job Qualifications / Skill Requirements
