Senior Software Engineer - AI Growth
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5h ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source 1h ago.
Is it remote?
Lehi, Utah, United States; Remote - US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $156.6k–213.1k/yr
Middle 50% of 1279 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 1h ago · last seen 1h ago
The listing
NetDocuments 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 @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.
About NetDocuments
At NetDocuments, 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. NetDocuments 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.
What You’ll Do
NetDocuments is seeking a Senior Software Engineer – Growth to join our AI Growth team and help build the systems that enable customers to understand, adopt, and realize value from AI across our platform. You’ll build and maintain backend services and data pipelines that power AI usage metering, reporting, billing integrations, and model availability. As part of a newly formed team, you’ll work closely with Product, AI, Business Intelligence, Finance, and Platform Engineering to solve complex technical and data challenges while helping establish the architecture and engineering practices that will support the team as it grows.
You will:
Design & Build
- Build and maintain production-grade backend services that support AI usage metering, reporting, billing integrations, and model availability.
- Design and develop data pipelines and event-driven systems that reliably process usage and product data at scale.
- Build cloud-native services using C#, AWS, and modern backend architecture patterns.
- Develop integrations across AI, product, data, billing, and platform systems.
- Write high-quality, well-tested code and actively participate in code reviews to improve engineering quality across the team.
System Design & Architecture
- Contribute to system design and architecture decisions across backend services, data pipelines, and integrations.
- Evaluate technical trade-offs and help establish scalable patterns as the AI Growth platform evolves.
- Design distributed systems using AWS services such as Lambda, DynamoDB, SQS, and S3.
- Contribute to event-driven architectures and data infrastructure supporting AI usage and product analytics.
- Help translate evolving product and business requirements into clear, scalable technical solutions.
Reliability & Operational Excellence
- Own the reliability and operational health of the services you build.
- Investigate and resolve production issues across backend services, integrations, and data pipelines.
- Monitor system health and identify opportunities to improve performance, reliability, and scalability.
- Build systems with production support, observability, and long-term maintainability in mind.
Cross-Functional Collaboration
- Partner with AI Tools, Business Intelligence, Finance, Platform Engineering, and Product teams on integrations and shared initiatives.
- Work with technical and non-technical stakeholders to understand requirements and translate them into engineering solutions.
- Surface technical trade-offs and help stakeholders understand the impact of architectural and implementation decisions.
- Support engineers through code reviews, pairing, and sharing technical context as the team grows.
Problem Solving & Ownership
- Take ownership of engineering work from initial requirements through implementation, deployment, and ongoing support.
- Break ambiguous or loosely defined problems into concrete, deliverable technical solutions.
- Connect engineering decisions to customer adoption, product usage, and broader business outcomes.
- Help establish technical practices and processes as the AI Growth team and its responsibilities mature.
What You’ll Need to Be Successful
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years of professional software engineering experience building production-grade systems.
- Strong experience building distributed backend services using C# or a comparable backend language.
- Experience with AWS or Azure and modern cloud-native backend architecture patterns.
- Experience building or maintaining data pipelines, event-driven systems, or analytics infrastructure.
- Experience designing and operating reliable production services.
- Experience collaborating across engineering, product, data, or other technical teams to deliver integrated solutions.
What Will Make You Stand Out
- Experience building billing, metering, usage tracking, or rate-limiting systems.