Manager, Software Engineering – AI Assistant

NetDocuments

Engineering Manager leading the AI Assistant engineering team at NetDocuments. Managing high-performing software engineers and driving customer-oriented software solutions in AI.

Posted 7/14/2026full-timeLehi • Utah • 🇺🇸 United StatesSeniorLead💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading software engineering teams, fostering a culture of collaboration and continuous improvement, while delivering scalable software solutions that leverage modern AI technologies. Proficient in guiding teams through ambiguity and ensuring high-quality execution in software development.

Highest-signal resume keywords

Team LeadershipAI and Machine Learning ExperienceCI/CD PracticesCloud Native Architectures on AWSStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSoftware Development PracticesScalable ArchitecturesDistributed SystemsEnterprise Scale Software ProductsLarge Language ModelsAgentic SystemsAutomated TestingObservabilityTechnical Guidance

Soft Skills

CommunicationCollaborationMentorshipProblem SolvingGrowth Mindset

Tools & Technologies

AWSCI/CD ToolsCloud PlatformsAutomated Testing FrameworksObservability Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineering Degree

Industry Keywords

Software EngineeringAIMachine LearningSoftware DevelopmentContinuous Improvement

Tech Stack

Tools & technologies

AWSCloudDistributed Systems

About the role

Key responsibilities & impact

Lead, coach, and develop a team of approximately 5 to 6 software engineers and software test engineers.
Foster a culture of trust, collaboration, accountability, and continuous improvement.
Partner with recruiting to attract and hire exceptional engineering talent, including engineers with applied AI and machine learning experience.
Support career growth through mentorship, feedback, and performance development.
Create the conditions for engineers to do their best work, and be the escalation path for blockers the team cannot resolve on its own.
Partner closely with Product, Design, and platform engineering teams to turn customer needs into scalable software solutions.
Help build and execute a roadmap that balances customer facing impact, technical excellence, and long term platform durability.
Guide your team through planning, execution, and delivery of the Assistant's agentic AI capabilities while holding a high bar for quality.
Lead through ambiguity, sequencing the work, derisking it, and adjusting as we learn from real users and as the AI landscape evolves.
Communicate capacity, priorities, and delivery risks proactively as a core member of the engineering, product, and design triad.
Coordinate across multiple engineering teams contributing to a shared product vision.
Communicate priorities, risks, and progress clearly to technical and nontechnical stakeholders.
Build the partnerships that drive alignment and execution across the organization.
Provide technical guidance and architectural input while empowering engineers to own implementation details.
Champion modern engineering practices, including CI/CD, cloud native architectures on AWS, observability, automated testing, and scalable system design.
Advocate for highly reliable, maintainable, and secure software, with strong observability and a proactive approach to security.
Bring sound judgment to building on large language models and agentic systems, including evaluation, prompt and context design, tool integration, cost and latency management, and safe rollout.
Foster a growth mindset and a culture of continuous learning.
Encourage experimentation, thoughtful problem solving, and learning from incidents.
Cultivate transparency, ownership, and customer impact across the team.
Support knowledge sharing and technical excellence across teams.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
7+ years of software engineering experience.
2+ years leading engineering teams, including both software engineers and software test engineers.
Working familiarity with modern AI, including large language models and agentic systems, and sound judgment about applying them in production software. This is table stakes for the role.
Experience building and delivering enterprise scale, customer facing software products.
Strong understanding of modern software development practices, including cloud platforms, CI/CD, distributed systems, and scalable architectures.
Proven ability to lead teams through ambiguity while balancing execution and technical quality.
Excellent communication and stakeholder management skills.
Demonstrated success building high performing teams and delivering impactful software.

Benefits

Comp & perks

90% healthcare premiums company covered
HSA company contribution
401K match at 4% with immediate vesting
Flexible PTO (typically 3 to 4 weeks a year)
10 paid holidays
Monthly contributions for life activities & wellness
Access to LinkedIn learning with monthly dedicated time to explore