---
title: 'Software Engineering Manager, Data & Analytics at Limble'
canonical: 'https://feeny.ai/job/software-engineering-manager-data-analytics-limble-charlotte-nv96hm6aka3k'
type: 'job'
last_seen: '2026-10-13'
---

# Software Engineering Manager, Data & Analytics at Limble

- **Company:** Limble
- **Location:** Charlotte, NC
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/limble/19bb69a6-64b5-4b73-9e84-9a05e79fd50e

## Job description

## About Limble

At Limble we empower the unsung heroes who support the world. We’re revolutionizing the way businesses manage their maintenance operations by providing a comprehensive suite of software solutions that empower organizations to optimize asset performance and drive operational excellence. From preventive maintenance to inventory management and beyond, our robust CMMS platform offers a suite of features designed to streamline operations and enhance productivity.

## About the role

We're building a dedicated data and analytics capability inside our engineering organization, and we need the right person to lead it. As the Software Engineering Manager for Data & Analytics, you'll own the strategy and execution for how Limble collects, stores, and surfaces data to power customer-facing insights across our platform. You’ll be investigating and leveraging the power of AI tooling to help make that strategy a reality for our customers. You and your team own the data repository and the reporting framework. These are the foundation other stream-aligned engineering teams build on to surface analytics inside their product areas. Your job is to make that foundation so good that teams can ship insights features without reinventing anything. This is a player-coach role meaning that you'll be close enough to the technical work to make strong architectural decisions and set engineering standards, while also building and leading the team that executes on the vision. You'll start with a small team and grow it. That means you have opinions on hiring, on data architecture, and on what "quality delivery" looks like for analytics infrastructure at a scaling B2B SaaS company. You won't need someone telling you how to build, instead you'll come in ready to define the architecture and get going.

## Responsibilities

- Define and drive the strategy for Limble's analytical data infrastructure
- Design the boundary between transactional data stores (what the product reads and writes against) and the analytical layer (what feeds reporting and ai-powered insights), keeping both performant and maintainable
- Architect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areas
- Partner with product leadership to translate customer and business analytics needs into a technical roadmap
- Build, hire, and lead a high-performing team of data and analytics engineers
- Drive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversation
- Own the observability of your data pipelines by defining SLAs for data freshness and quality, build alerting, and keep your consumers informed when something's off
- Establish data governance and quality standards so the rest of engineering can trust the data they're building on top of
- Drive adoption of the reporting framework across stream-aligned teams
- Stay hands-on enough to review critical design decisions, contribute to architecture, and help your team get unstuck

## Requirements

- 5+ years of experience in data engineering, analytics engineering, or a related discipline with at least 2 years in an engineering management or technical lead role
- Proven experience designing data infrastructure on AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3, and related services)
- Strong understanding of when to use an operational data store vs. an analytical one, and how to design the pipeline between them
- Strong background in data modeling, ELT/ETL pipeline design, and building analytics-ready datasets
- Experience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfaces
- Experience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues
- Actively leveraging AI coding tools (GitHub Copilot, Cursor, Claude, or similar) in day-to-day development and sets the expectation for the team to do the same
- Some exposure with embedding AI driven capabilities inside of a SaaS product
- Comfortable staying player-coach: you can write a design doc, review a schema, or weigh in on a query optimization
- Track record of hiring and developing engineers; you know what a good data engineer looks like and can get them excited about our mission here at Limble
- Strong communicator who can translate data architecture decisions into language product and business stakeholders actually understand
- Bias toward simplicity over complex solutions
- Located in or near the Charlotte, NC metro area

## Nice to Have

- Experience with embedded or in-app analytics (surfacing insights directly inside a SaaS product, not just internal BI)
- Familiarity with event streaming on AWS (Kinesis, MSK, EventBridge, Kafka, or similar)
- Experience with AWS Glue, Athena, or Lake Formation for data pipeline and lake orchestration
- Experience at a B2B SaaS company in the 50–200 employee range
- Exposure to regulated software environments (SOC 2, HIPAA, or similar)
- Experience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product context

## Benefits

- Competitive salary commensurate with experience
- Fully remote position
- Flexible PTO
- 13 paid company holidays
- Paid parental leave
- Health, Dental, and Vision insurance
- Employer paid Basic Life insurance and Short-Term Disability insurance
- Company contribution match for HSA and 401(k)
- Flexible Spending Accounts
- Monthly employee wellness stipend
- Opportunities for Learning and Development Reimbursement
- Pet insurance

Limble is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetics, marital status, veteran status, or any other protected characteristic under applicable laws. We are committed to building a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All qualified applicants with arrest or conviction records will be considered in accordance with applicable laws.

## About Limble

## Company Overview
- **One-liner**: Limble is a modern, AI-powered Computerized Maintenance Management System (CMMS) and Enterprise Asset Management (EAM) platform that helps maintenance teams slash downtime, simplify work orders, and extend asset life.
- **Entity Type**: Private (has raised significant capital; funding stage not specified)
- **Headquarters**: Lehi, Utah, USA
- **Founded**: 2015
- **Founders**: Not publicly available (CEO is Gary Specter)

## Core Business
- Primary industry: Maintenance Management Software / Enterprise Asset Management (EAM) / CMMS
- Target customers: B2B, serving mid-market to enterprise across manufacturing, healthcare, facility management, food & beverage, and more
- Mission: “Empowering the humans who keep the world's assets running” — to create better software that enables longer asset life and better jobs for maintenance technicians.

## Products & Services
- **CMMS Software (Core Platform)**: Web and mobile application for managing work orders, preventive maintenance, predictive maintenance, asset tracking, parts inventory, and analytics. Rated #1 in G2’s Highest Satisfaction Products (4.8/5 from 681+ reviews).
- **Work Order Management**: Assign, complete, and track work orders from anywhere; QR code submission, real-time updates.
- **Preventive Maintenance**: Automatically schedule PMs, track downtime trends, and avoid failures.
- **Predictive Maintenance**: AI-driven insights to predict failures before they occur.
- **Asset Management**: Full asset history, cost tracking, and lifecycle management.
- **Parts Inventory Management**: Real-time spare parts tracking, low-stock alerts.
- **Insights & Analytics**: Dashboards and reports for downtime, costs, and asset performance.
- **Audits & Compliance**: Digital audit trails, safety check automation, and SOP enforcement.
- **Integrations**: Connects with existing ERP, production, and other business systems.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric** (for private company): Total funding of at least **$134M+** (mentioned on the company’s leadership page)
- **Notable Investors / Partners**: Board of directors includes executives; specific institutional investors not disclosed in provided sources. Customer success stories include Island Abbey Nutritionals, Powder Mountain, Bentek, Renfro Foods.
- **Growth Signals**:
  - 233 total employees (per Built In)
  - Fully remote workforce with US-based roles
  - Over 50,000 maintenance professionals rating the platform
  - $68M+ in annual downtime costs saved for customers (claimed)
  - 9.2M+ work orders created, 16.5M+ tasks completed, 750K+ parts tracked

## Competitive Advantages
- **User Adoption & Usability**: Designed specifically to be easy for frontline technicians, leading to high team adoption.
- **Comprehensive Platform**: Unifies work orders, asset management, inventory, and analytics in one system, reducing need for multiple tools.
- **Customer Support & Success**: Dedicated success manager and 24/7 support with response times under 60 seconds.
- **AI & Predictive Capabilities**: Practical AI for predictive maintenance sets it apart from traditional CMMS.
- **Proven ROI**: Customer case studies show significant downtime and cost reductions.

## Strategic Focus
- **Current Priority**: Expanding enterprise footprint, deepening AI integrations, and maintaining #1 customer satisfaction.
- **Growth Direction**: Continues to invest in product features, predictive analytics, and scaling the fully remote team across all departments.

## Why Work Here
- **Remote Culture**: Fully remote work environment (US-based), flexible PTO, and 13 paid holidays.
- **Comprehensive Benefits**: Health/dental/vision insurance, employer-paid life & short-term disability, 401(k) match, HSA contributions, Flexible Spending Accounts.
- **Wellness & Growth**: Monthly wellness stipend, learning & development reimbursement, paid parental leave, pet insurance.
- **Core Values**: Accountability, Act with Integrity, Get Better Everyday, Win Together.
- **Leadership**: Experienced executive team including CEO Gary Specter, CFO Shannon Tatz, CRO Joe Aleardi, CMO Tim Lamb, CPO Sara Patterson, CPTO Jason Penkethman.

## Sources
1. [limble.com/about-us](https://limble.com/about-us)
2. [limble.com/careers](https://limble.com/careers)
3. [limble.com (homepage)](https://limble.com/)
4. [builtin.com/company/limble-cmms](https://builtin.com/company/limble-cmms)
5. [jobs.ashbyhq.com/limble](https://jobs.ashbyhq.com/limble)

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