Manager, Software Engineering & Development

Position Summary

As a Software Engineering Manager Enterprise AI Platform you will lead a team responsible for building operating and continuously improving production-grade AI-enabled software.

This role manages a cross-functional engineering team that may include:

• Software Engineers
• SDETs
• DevOps Engineers
• Support Engineers

This is a hands-on engineering leadership role for someone who has strong software engineering experience cares deeply about people development and can help teams deliver practical AI-powered solutions with speed quality and discipline.

While this is a management role the person in this position is expected to stay close to the codebase and technical workflow. When the situation calls for it they may contribute directly to implementation debugging automation technical spikes or code reviews to help the team move faster remove blockers or solve critical problems.

You will be responsible for:

• Growing and developing engineering talent
• Creating a high-performance team culture
• Supporting delivery of enterprise AI platform capabilities
• Improving engineering practices across software development testing DevOps support and operations
• Partnering with product architecture AI business and technology leaders
• Helping the team move quickly while maintaining quality security reliability and maintainability
• Occasionally contributing hands-on to implementation debugging automation technical spikes or code reviews when the situation calls for it

This role is ideal for an emerging engineering leader who has already demonstrated strong technical leadership and people leadership potential and who is looking to continue growing and evolving their career.

We are looking for someone who can lead through influence coach engineers effectively improve team execution and help build the operating model for modern AI-enabled software delivery.

What Were Looking For

We are looking for a manager who can balance people leadership technical judgment and delivery execution.

The ideal candidate is someone who:

• Has a strong software engineering background
• Understands how modern software teams build test deploy and operate production systems
• Can coach software engineers SDETs DevOps engineers and support engineers
• Stays technically engaged with the teams codebase architecture development workflow and operational tooling
• Knows when to guide when to delegate and when to contribute hands-on to help the team move forward
• Knows how to create clarity in ambiguous environments
• Can translate business and platform goals into team execution
• Has strong instincts around quality automation observability reliability and supportability
• Is comfortable working in a fast-moving AI environment
• Can partner well with product owners architects data scientists business stakeholders and senior leaders
• Wants to grow into broader engineering leadership responsibility over time

This is a software engineering management role focused on building and growing the team that delivers and operates the Enterprise AI Platform.

Required Qualifications

• 5 years of professional software engineering or related technical experience.
• 2 years of technical leadership team leadership people leadership or engineering management experience.
• Experience leading coaching or mentoring software engineers or related technical team members.
• Ability and willingness to stay technically engaged with the teams codebase architecture development workflow and operational tooling including occasional hands-on contribution when needed.
• Strong understanding of modern software engineering practices including:
  • Clean code
  • Source control
  • Unit testing
  • CI/CD
  • Design patterns
  • Refactoring
  • Maintainability
  • Production support
• Experience working with software delivery teams that include roles such as:
  • Software Engineers
  • SDETs
  • DevOps Engineers
  • Support Engineers
  • Quality Engineers
• Experience supporting production software systems including troubleshooting incident response root-cause analysis or operational improvement.
• Strong understanding of Agile delivery practices and modern engineering team workflows.
• Ability to develop associates through coaching feedback goal setting performance conversations and career development planning.
• Ability to create a high-performance team environment built on ownership accountability trust and continuous improvement.
• Strong communication skills with technical and non-technical audiences.
• Strong problem-solving prioritization and decision-making skills.
• Ability to partner with product architecture operations support and business teams to drive successful outcomes.
• Experience participating in hiring interviewing candidate evaluation or team growth activities.
• Bachelors degree in Computer Science Computer Information Systems Business Information Systems a related technical field or equivalent practical experience.

Preferred Qualifications

Experience with one or more of the following is helpful but not required:

• Managing or leading teams that build enterprise platforms internal developer platforms AI platforms or shared services
• Experience with AI-enabled applications LLM-powered systems RAG chatbots agent workflows or AI-assisted engineering practices
• Familiarity with Azure Azure AI Foundry Azure DevOps or related Microsoft cloud and engineering tools
• Experience with engineering teams using AI-powered development tools such as Cursor Claude Code or similar platforms
• Experience leading teams that use automated testing SDET practices Playwright Python-based test automation or end-to-end testing
• Experience with DevOps practices CI/CD pipelines release automation infrastructure automation or cloud operations
• Experience with observability tools such as New Relic Langfuse OpenTelemetry Azure Log Analytics or similar platforms
• Experience managing geographically distributed teams
• Experience improving production support models incident management operational readiness or service reliability
• Experience working with enterprise systems such as Salesforce internal platforms APIs workflow systems or service-oriented architectures
• Experience leading teams through ambiguity rapid change or emerging technology adoption
• Experience building succession plans development plans hiring strategies or team capability roadmaps
• Interest in continuing to grow leadership responsibility

What Success Looks Like

You will be successful in this role if you:

• Build a team that delivers high-quality software consistently.
• Develop engineers SDETs DevOps engineers and support engineers into stronger technical contributors.
• Create a culture of ownership accountability speed and quality.
• Stay technically close enough to guide decisions unblock the team and occasionally contribute hands-on without becoming a bottleneck or displacing team ownership.
• Help the team use AI-assisted development tools without lowering engineering standards.
• Improve how the team builds tests deploys monitors and supports software.
• Partner effectively with product owners architects data scientists business stakeholders and senior leaders.
• Create clarity when priorities are ambiguous or changing.
• Raise the quality of engineering practices across the team.
• Identify performance gaps early and address them directly and constructively.
• Hire strong talent and help retain high-performing associates.
• Help the team connect day-to-day execution to broader Enterprise AI Platform goals.
• Grow your own leadership scope judgment and organizational influence over time.

The national average salary range for this role is$160-180k in base pay exclusive of any bonuses and base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location experience performance and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however from time to time it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match Medical Dental Vision Paid-Time-Off etc. For more information please visit aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ or @ email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting we strongly encourage you to apply directly through our website.