Technical Solutions Engineering Manager

New
Based in United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
8+ years of experience in software engineering, software delivery, or related technical roles, including 4+ years managing engineering teams.
Required Skills
AWSProject ManagementAgileCloud ComputingSoftware ArchitectureCI/CDTeam managementPrompt Engineering

Requirements

  • 8+ years of experience in software engineering, software delivery, or related technical roles.
  • 4+ years of experience managing engineering teams.
  • Proven experience leading high-performing teams and delivering complex software projects.
  • Strong understanding of modern software architecture and system design principles.
  • Experience working with cloud environments, preferably AWS.
  • Familiarity with software development lifecycle processes, CI/CD pipelines, and Agile methodologies.
  • Ability to operate as both an individual contributor and a technical mentor.
  • Advanced proficiency with AI tools, including Claude, for prompt engineering and workflow optimization.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Responsibilities

  • Lead, mentor, and develop a team of Solutions Engineers through performance management and career guidance.
  • Partner with leadership to support hiring strategies, team structure planning, and long-term organizational development.
  • Manage end-to-end project delivery by defining scope, timelines, milestones, success metrics, and execution plans.
  • Translate business requirements into clear technical solutions while ensuring alignment between product goals and engineering capabilities.
  • Collaborate with Product, Engineering, Customer Success, and external stakeholders to deliver scalable solutions.
  • Provide hands-on technical leadership for architecture discussions, implementation guidance, and troubleshooting.
  • Drive operational excellence through documentation standards, resource planning, and risk management.
  • Leverage advanced AI tools and workflows to improve productivity, automate processes, and support technical decision-making.
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