Nexus Cognitive

Nexus Cognitive

Engineering Manager

Remote - US

Sponsorship not specifiedDetected 5 days ago
Code ReviewAgentic AILeadershipCommunicationMentoring

About the role

  • ABOUT NEXUS You don't have an AI story if you don't have your data story.
  • One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business.
  • For the first time, enterprises can bring their existing stack along instead of rebuilding it - and still give AI agents full context across the estate.

Responsibilities

  • Balancing people leadership with enough technical depth to stay credible in design discussions and code reviews
  • Building a healthy team culture - one where people do their best work and want to stick around

Nice to have

  • 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

Skills

  • 85+ open-source tools pre-integrated.
  • AI-native automations that deploy and self-heal the stack without human toil.
  • It's working, and fast.
  • Our platform processes credit risk data for 90%+ of US small businesses - 40M+ - every month.
  • Intent signals for 300M+ subscribers monthly for Africa's largest telco.
  • The data and AI layer for a Top 3 US bank.
  • 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

Company info

  • We're the converged data platform for the AI era - composable by design, built on an open-source foundation, and AI-native from the ground up.

This listing is sourced directly from Nexus Cognitive's careers page and normalized into a canonical job model.