Sr. Software Development Manager (Semantic Intelligence)

About the Team & Role

Global supply chains are staggeringly complex—and most of the software built to manage them isn't keeping up. Auger's AI & Semantic Intelligence Team is changing that. We build intelligent, context-aware systems that reason over supply chain data, learn from operational signals, and act autonomously to drive better decisions at scale. 
We have more ideas than time—and that's exactly how we like it. This role is for someone who thrives in that gap: a Senior Software Development Manager / Director who can rapidly move from concept to working prototype, separate signal from noise, and focus a talented team on the bets most worth making. If you're energized by hard problems, impatient with unnecessary process, and care deeply about the craft of building great AI systems, read on.  Key Responsibilities

• Lead with clarity and conviction. You'll own the technical direction of your team—shaping architectural decisions, setting engineering standards, and making the right call when there isn't an obvious one. You're comfortable going deep on a design doc and zooming out to a roadmap conversation in the same afternoon. 
• Build a team people want to be part of. You'll recruit sharp engineers, invest in their growth, and create an environment where curiosity and psychological safety coexist with high standards. You lead by example—technically credible, direct but kind, and genuinely invested in the people around you. 
• Move fast without breaking trust. You'll partner with product and data science to shape priorities, protect your team's focus, and ship production-quality AI systems on timelines that matter. You know how to accelerate without cutting corners that will cost you later. 
• Remove friction relentlessly. Whether it's an unclear requirement, a cross-team dependency, or a deployment bottleneck—you see blockers early and eliminate them before they become slowdowns. 

 Qualifications

• 10+ years of software engineering experience, with 5+ years leading engineering teams in a formal senior management or director-level capacity 
• Hands-on experience building and shipping production AI systems—LLMs, semantic search, optimization engines, or similar—strongly preferred 
• A track record of delivering at scale: you've led teams through ambiguous problem spaces and come out with systems that held up in production 
• Strong architectural instincts across AI/ML infrastructure, data pipelines, and platform engineering 
• Fluency with cloud infrastructure (AWS, Azure, or GCP), CI/CD pipelines, observability practices, and modern testing approaches 
• The ability to earn trust quickly across engineering, product, and business stakeholders—including at the executive level 
• Experience hiring and developing senior engineers—you know what great looks like and how to get people there 
• A bias toward prototyping: when something is uncertain, your instinct is to build a small version of it, not write a longer spec