Engineering Manager

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Logo of Nexus Cognitive

Nexus Cognitive

51 - 200 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Series unknown on 2024-07

SaaS • Artificial Intelligence • B2B

Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.

📋 Description

• Leading and growing a team of engineers (typically 5–10), with real ownership over their growth and performance • Balancing people leadership with enough technical depth to stay credible in design discussions and code reviews • Partnering with product management to turn strategy into a clear, achievable roadmap • Building a healthy team culture — one where people do their best work and want to stick around • Hiring, coaching, and sometimes making the hard calls when performance isn't there • Removing blockers so your team can focus on shipping

🎯 Requirements

• Prior experience managing engineers, ideally 2+ years, with a track record of retaining and developing talent • A strong engineering background — you don't need to be hands-on daily, but you should understand the work deeply • Clear, empathetic communication and a coaching mindset • Comfort with ambiguity and the judgment to prioritize ruthlessly • A track record of shipping meaningful things through a team, not just individually

🏖️ Benefits

• A collaborative team culture built on curiosity and respect • Challenging work where your contributions clearly matter • A leadership team that invests in learning and development • The opportunity to work at the intersection of cloud, data, and AI innovation

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