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Software Engineering Manager Jobs in Livingston, MT

D.A. Davidson

AI & Automation Engineer

Bozeman, MT · On-site

The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on ...

D.A. Davidson

AI & Automation Engineer

Bozeman, MT

$90K - $120K/yr

The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on ...

Graham Engineering

Program Manager

Bozeman, MT · On-site

Experience in civil engineering, architecture, land planning, or real estate * Background in land development and high-volume rollouts * Proficient in Microsoft Office and project management software

New

Johnson Metal Works

PROJECT MANAGER

Bozeman, MT · On-site

Proficiency with Microsoft 365, Bluebeam, ERP systems and Project Management software for job tracking and reporting. Education and Experience: * Construction Engineer/Management, Mechanical Engineer ...

Johnson Metal Works

PROJECT MANAGER

Bozeman, MT · On-site

$90 - $120/hr

Proficiency with Microsoft 365, Bluebeam, ERP systems and Project Management software for job tracking and reporting. Education and Experience: * Construction Engineer/Management, Mechanical Engineer ...

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Showing results 21-40

All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Livingston, MT

Software Engineering Manager information

See Livingston, MT salary details

$100.4K

$170.9K

$202.3K

How much do software engineering manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for software engineering manager in Livingston, MT is $170,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $174,500.00 and $174,500.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

More about Software Engineering Manager jobs

What job categories do people searching Software Engineering Manager jobs in Livingston, MT look for?

The top searched job categories for Software Engineering Manager jobs in Livingston, MT are:

What cities near Livingston, MT are hiring for Software Engineering Manager jobs?

Cities near Livingston, MT with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Livingston, MT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $170,869 per year, or $82.1 per hour.

AI & Automation Engineer

D.A. Davidson

Bozeman, MT • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago

D.A. Davidson rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients' financial well-being, we also work to strengthen local communities-and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.

Summary/Function:
We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
Qualifications:
Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles.
Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration.
Cloud & AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes. 
Problem-Solving & Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members.
Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
 
Preferred Qualifications:
Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot's advanced features (custom actions, agent-to-agent workflows).
Advanced AI & ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. 
Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft's Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
Innovation & Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
Lean and Agile background: Lots of experience working in highly-iterative development processes.  You understand the principles of them but aren't married to any particular methodology.
Patience: Somebody prepared to deal with the boring and the tough.  Every minute of every day in an AI role isn't always deploying new models and agents.  An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day.
 
The following is required from all associates of D.A. Davidson Companies:
Commitment to maintain client confidentiality and data security
Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
Ability to maintain regular, predictable attendance
 
Duties:
Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making. 
Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants' effectiveness.
Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
 
What do we offer:
Competitive salary plus excellent benefits and perks including, but not limited to:  
Medical, Dental and Vision
Company 401(k)and ESOP contribution 
Generous sick, vacation, and maternity/parental leave
Paid holidays
Professional Development Opportunities
Tuition Reimbursement ($15,000 lifetime cap)
Discounted personal insurance including home, auto and recreational vehicles
Charitable gift-matching program
Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work.  
 
The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs. 
$90,000 - $120,000 a year
At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
ACKNOWLEDGMENT
Please answer all questions carefully.  By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson's California Resident Privacy Policy.
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