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Manager, Software Engineering

  • Remote
  • 6+ years

Salary

$170,000 - 190,000/ year

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Description

The company is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @the company's site domain. If you have any concerns or questions about communications you have received, please send them to  the company's site m  so our team members can review.

About the company

At the company, we're shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That's why we're building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge.

Our team is redefining what's possible for legal technology. The company is the trusted intelligent document management platform for legal professionals and the company behind the industry's first and only legal context graph—a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls.

Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you're building products, serving customers, or supporting the business, your work helps shape the future of one of the world's most trusted legal technology platforms.

That commitment to our employees and customers has earned us recognition as one of the nation's top workplaces, including:

Four consecutive appearances on the Inc. 5000 list of America's Fastest-Growing Private Companies

Five-time Top Workplace USA winner

Five-time Salt Lake Tribune Top Workplace

Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits

If you're excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we'd love to meet you.

Responsibilities

  • The company is seeking an Engineering Manager to lead a team responsible for building and delivering shared AI capabilities across our platform. In this role, you will drive engineering execution, guide technical direction, and lead the development of scalable, secure, and reliable AI-powered solutions that enhance how legal professionals work.
  • You will partner closely with Product, Architecture, and senior engineering leaders to translate emerging AI technologies into meaningful product capabilities. This is a technical leadership role focused on driving delivery, developing engineering talent, and ensuring our AI solutions meet the highest standards of quality, performance, and enterprise readiness.
  • Drive Engineering Delivery & Execution
  • Lead the planning and execution of engineering initiatives, ensuring predictable delivery of high-quality AI capabilities.
  • Partner with Product and Architecture to translate customer needs and emerging AI technologies into scalable, secure solutions.
  • Balance feature development with system reliability, performance, cost efficiency, and operational excellence.
  • Proactively identify technical risks, dependencies, and tradeoffs, communicating recommendations to leadership and cross-functional stakeholders.
  • Establish clear priorities, accountability, and engineering practices that support consistent delivery.
  • Guide AI Technical Strategy & Architecture
  • Partner with Principal and Staff Engineers to guide architectural decisions, technical direction, and implementation strategies for AI-powered solutions.
  • Evaluate AI model selection and technical tradeoffs, including response quality, latency, scalability, and cost.
  • Guide the development of prompt engineering and retrieval-augmented generation (RAG) approaches to deliver accurate, contextually relevant AI experiences.
  • Establish expectations for AI evaluation, testing, and monitoring, including regression testing for model and prompt changes.
  • Ensure AI capabilities meet enterprise standards for security, privacy, compliance, and reliability.
  • Leverage technical knowledge of C/.NET, microservices, containerization, and AWS or Azure to evaluate designs, remove blockers, and support engineering decisions.
  • Lead, Mentor & Develop Engineering Talent
  • Lead, coach, and develop a team of software engineers, supporting performance, career growth, and technical development.
  • Foster a culture of ownership, accountability, experimentation, and continuous improvement.
  • Drive hiring and talent development efforts to build a high-performing engineering team.
  • Encourage the adoption of modern engineering practices and AI-assisted development tools to improve productivity and software quality.
  • Create an environment where engineers collaborate effectively, challenge assumptions, and continuously improve technical solutions.
  • Drive Cross-Functional Collaboration & Alignment
  • Partner with Product, Design, Architecture, and other AI engineering teams to align technical priorities and shared platform capabilities.
  • Communicate engineering progress, technical decisions, risks, and tradeoffs clearly to stakeholders and senior leadership.
  • Build strong cross-functional relationships that support efficient decision-making and successful product delivery.
  • Translate complex technical concepts into clear business outcomes and recommendations.

Requirements

  • 6+ years of professional software engineering experience, including 2+ years managing engineering teams.
  • Experience delivering production-grade AI or LLM-powered features within an enterprise SaaS environment.
  • Strong understanding of large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), context limitations, latency, cost considerations, and common failure modes.
  • Familiarity with AI evaluation methodologies, retrieval systems, and approaches for measuring model accuracy, reliability, and performance.
  • Understanding of AI agent architectures, tool-calling patterns, and emerging integration standards such as Model Context Protocol (MCP).
  • Strong technical foundation in modern software engineering, including distributed systems, microservices, and cloud-native architectures.
  • Experience with cloud platforms such as AWS or Azure and modern engineering practices including CI/CD, containerization, and observability.
  • Working knowledge of C/.NET or similar backend development technologies, with the ability to evaluate technical designs and guide engineering decisions.
  • Demonstrated ability to lead engineering teams, manage competing priorities, and deliver complex technical initiatives.
  • Strong communication, collaboration, and stakeholder management skills, with the ability to influence technical and business decisions.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • What Will Make You Stand Out
  • Experience developing AI-powered solutions within legal technology, document management, or other regulated industries.
  • Experience building and scaling document AI capabilities, including intelligent document processing and retrieval systems.
  • Experience evaluating and managing AI model providers, including performance, cost optimization, and vendor selection.
  • Familiarity with model customization techniques such as fine-tuning and the ability to evaluate their business and technical value.
  • Experience leading teams responsible for shared AI services or platform capabilities used across multiple products.
  • Proven success building high-performing engineering teams that consistently deliver impactful software.
  • Advanced degree in Computer Science, Engineering, or a related field.
  • What You’ll Love About the company
  • The People!
  • 90% healthcare premiums company covered
  • HSA company contribution
  • 401(k) 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
  • Connection, access, and mentorship from exceptional leaders
  • Growing company with opportunities for advancement
  • Authenticity and accountability from leadership

Conditions

The compensation range for this position is: $170,000 - $190,000

The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations.

Where you’d work

Fully remote

You can work from

  • United States

About the company

Company hidden

  • Industry: SaaS

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 5 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour3

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • A tight salary range, set for one seat: $170K to $190KSlight evidence

How crowded?

6 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Lead level: far fewer people qualifySlight evidence

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Company
Tech stack
  • AWS
  • Azure
  • CI/CD
  • LLMs
  • RAG
Seniority
Lead
Industry
SaaS
Specialty
Backend
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Lead
Experience
6+ years
Tech stack
  • AWS
  • Azure
  • CI/CD
  • LLMs
  • RAG

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
$170,000 - 190,000 / year
Pay period
Annual

Company

Industry
SaaS

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