Description :

Engineering Manager (AI Agents & Enterprise SaaS)

The Core Mission : Architecting the Future of Autonomous Procurement

Primary Engine : Enterprise-Grade AI SaaS Platform

Target Domain : Procurement Technology & Supply Chain Recommendation Engines

Key Leadership Pillar : Product-Mindset Engineering

The Strategic Mandate :

In the world of Enterprise SaaS, "Insights" are no longer enough. The market now demands Action. As the Engineering Manager, you are the bridge between raw spend data and autonomous decision-making. You will lead the charge in evolving a high-growth platform from a dashboard-heavy tool into a suite of sophisticated AI Agents that provide hyper-specialized procurement recommendations.

This is not a "maintenance" role; it is a Builders Mandate. You will be responsible for translating high-level business visions into robust, scalable, and AI-driven technical architectures.

The Domains of Influence :

1. The AI Frontier :

- You will lead the development of specialized AI Agents. These are not simple chatbots; they are autonomous entities designed to navigate complex procurement data and deliver high-impact savings recommendations.

- SaaS Product Mindset : You will own the design-to-deployment lifecycle. Your focus will be on building for multi-tenancy, high availability, and the specific security rigors of enterprise-grade procurement software.

- Architectural Oversight : Ensure the platform remains modular and performant as we integrate deeper AI capabilities and handle increasingly diverse global spend datasets.

2. High-Performance Team Orchestration :

- Cross-Functional Synergy : You will be the primary technical liaison between Product, Design, and the CTO. You must be equally comfortable debating API structures with developers and articulating the "ROI of Tech Debt" to non-technical stakeholders.

- Engineering Standards : Establish the "Gold Standard" for code quality, documentation, and security compliance across the pod.

- Mentorship & Culture : You are a force multiplier. Your success is measured by the growth of your engineers and the velocity of your sprints.

The Candidate Blueprint (The Pedigree) :

- The SaaS Veteran : You have a proven track record of working within Enterprise SaaS environments. You understand the unique challenges of long sales cycles, complex integrations, and the need for absolute data integrity.

- The Procurement Specialist : Prior experience in Procurement Technology is highly preferred. You understand what a CPO needs and how spend analytics can be transformed into a competitive advantage.

- The AI Visionary : You are "Awesome At" developing AI Agents. You understand the nuances of LLMs, prompt engineering, and the guardrails required for AI in a corporate environment.

- The Communicator : You possess the rare ability to translate "Technical Speak" into "Business Value," ensuring stakeholders at all levels are aligned with the technical roadmap.

The Selection Journey :

The interview process is designed to be as rigorous and transparent as the engineering culture :

- Technical Deep-Dive : A peer-level round focusing on your architectural choices and SaaS experience.

- Specialized Assessment : A practical evaluation of your approach to AI Agent development and product design.

- The CTO Perspective : A final strategic interview to align on the long-term vision of the platform.