Engineering Manager
SLEQ Solutions · Minneapolis, MN · Yesterday
On-siteEngineering$150k–$190k/yrFull-time
Requirements
- Lead engineering strategy, technical direction, and platform architecture with speed, scale, quality, and maintainability.
- Oversee AI-driven product capabilities, intelligent automation, ML/LLM initiatives, and emerging technology adoption and ensure AI and software systems include oversight, explainability, security, compliance, and risk controls.
- Build, mentor, and retain high-performing engineering teams with clear standards, accountability, and growth paths.
- Set engineering practices, coding standards, quality benchmarks, DevOps maturity, automation, observability, and release discipline.
- Own engineering execution from roadmap planning and estimation through delivery, launch, and post-release monitoring.
- Partner with Product and executives to refine priorities, manage trade-offs, unblock dependencies, and communicate risks.
- Champion customer value and collaborate across Product, Design, Customer Success, Security, Compliance, and Infrastructure.
What You’ll Bring To The Job
- A hands-on builder and leader who can set strategy, make sound technical decisions, coach engineers, and stay accountable for cost, speed, quality, and risk.
- Raise the engineering bar without slowing the business down and treat security, compliance, and responsible AI adoption as part of strong engineering.
- 8+ years of software engineering experience, including 5+ years leading engineering teams in a product-driven environment.
- Hands-on technical credibility, with recent coding experience in Python, TypeScript, Go, Java, or similar languages.
- Proven ability to design, build, and ship scalable platforms, with strong architecture, cloud, engineering standards, and roadmap discipline.
- Experience delivering AI/ML-enabled products, including LLM integration, MLOps, data pipelines, or responsible AI governance.
- Strong people leadership and communication skills, with the ability to build teams, create accountability, and explain technical complexity clearly.
Pay
Salary Range: $150,000 - $190,000