Staff Software Engineer, AI-Augmented Enterprise Applications

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CINC Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

☁️ SaaS

🏠 Real Estate

🤝 B2B

💰 Private Equity Round - CINC Systems on 2023-12

SaaS • Real Estate • B2B

CINC Systems is a cloud-based, all-in-one software platform for community association management (HOAs and COAs) that helps management companies, boards, and homeowners streamline operations and improve resident experience. The platform provides financial management and oversight (including online payments and a secure payment portal), AI-driven reporting and forecasting (Cephai), communication and resident engagement tools, online voting and surveys, maintenance/work-order coordination, compliance tracking, and centralized data and insights. CINC targets professional association management firms and homeowner boards with automation, security, and scalability; the company reports 1,000+ association management company customers, 51,000+ homeowner associations served, 6M+ doors, and $11B+ payments processed annually.

📋 Description

• Design and build scalable enterprise SaaS applications and integrations • Lead cross-team technical initiatives involving AI enabled workflows and operational systems • Work closely with product, operations, and customer-facing teams to understand real business problems • Integrate AI capabilities into enterprise applications in practical, maintainable ways • Contribute to architectural patterns for APIs, event-driven systems, and microservices • Mentor engineers and help raise the technical bar across teams • Leverage AI augmented engineering workflows to improve development speed and quality • Participate in RFCs, architecture reviews, and broader engineering strategy discussions

🎯 Requirements

• 8+ years of experience building enterprise SaaS applications or large scale business systems • Strong backend and full stack engineering experience • Experience designing APIs, microservices, integrations, and event-driven architectures • Strong understanding of system design, scalability, and operational reliability • Experience building customer-facing enterprise workflows and operational tooling • Experience working with CRM or enterprise workflow systems such as Salesforce, Dynamics, HubSpot, or similar platforms • Familiarity with customer lifecycle workflows including sales, onboarding, service, support, and communications • Experience integrating enterprise SaaS platforms through APIs, events, or middleware systems • Experience using AI assisted software engineering tools and workflows in production environments • Practical understanding of how AI can improve software delivery, automation, and customer experiences • Familiarity with modern AI platforms, orchestration frameworks, or LLM based workflows is a plus • Ability to evaluate build versus buy decisions around AI tooling and enterprise capabilities • Strong communication skills with both technical and non-technical stakeholders • Demonstrated ability to lead initiatives across teams through influence and credibility • Comfortable mentoring engineers and helping teams navigate ambiguity • Structured thinker capable of simplifying complex systems and workflows • Builder’s mindset focused on outcomes, customer value, and long term system quality • Believes AI is an amplifier of strong engineering fundamentals, not a replacement for them • Curious and learning-oriented with strong systems thinking ability • Collaborative, humble, and highly reliable • Values craftsmanship, clarity, and thoughtful decision making.

🏖️ Benefits

• Competitive salary • Flexible working environment • Professional development opportunities • Health insurance • Retirement plan