Software Engineering Manager, Data & Analytics at Limble

At Limble, we are dedicated to supporting the unsung heroes of the industrial world. We are transforming how businesses handle maintenance operations through our comprehensive software suite, which helps organizations optimize asset performance and reach new levels of operational excellence. From inventory management to preventive maintenance, our robust CMMS platform provides the tools necessary to streamline workflows and boost productivity. We are currently expanding our engineering organization by building a dedicated data and analytics function, and we are looking for a visionary leader to guide this mission.

Key outcomes

• Develop and execute a comprehensive strategy for our analytical data infrastructure.
• Architect the reporting framework that allows our engineering teams to embed analytics directly into our product.
• Design the integration between our transactional data stores and our analytical layers to ensure high performance and maintainability.
• Build, mentor, and lead a high-performing team of data and analytics engineers.
• Collaborate with product leadership to translate business needs into a clear, actionable technical roadmap.
• Establish rigorous data governance, quality standards, and observability protocols, including defining SLAs for data freshness.
• Drive architectural decisions through collaborative reviews with staff and principal engineers.
• Maintain a hands-on approach by contributing to architectural designs, reviewing schemas, and assisting the team with complex technical challenges.

Requirements

• At least 5 years of professional experience in data or analytics engineering, with a minimum of 2 years in a technical lead or management role.
• Proven expertise in designing data infrastructure within the AWS ecosystem, specifically using Aurora PostgreSQL, DynamoDB, Redshift, and S3.
• Deep understanding of data modeling and the design of ELT and ETL pipelines.
• Experience creating analytics-ready datasets and reporting frameworks for use by multiple engineering teams.
• Strong background in data pipeline observability, including monitoring, alerting, and incident response.
• Active use of AI coding tools like GitHub Copilot or Cursor, with experience integrating AI-driven capabilities into SaaS products.
• Excellent communication skills with the ability to explain complex data architecture to non-technical stakeholders.
• A preference for simple, maintainable solutions over overly complex designs.
• Fluency in English.

Preferred qualifications

• Experience with embedded or in-app analytics within a SaaS platform.
• Familiarity with event streaming technologies such as Kinesis, MSK, or Kafka.
• Experience with AWS Glue, Athena, or Lake Formation.
• Background working in a B2B SaaS environment with 50 to 200 employees.
• Exposure to regulated software environments like SOC 2 or HIPAA.
• Experience with BI and visualization tools such as Metabase, Looker, or Tableau.

Compensation

We offer a comprehensive benefits package designed to support your well-being and professional growth. This includes:

• Fully remote work environment with flexible hours.
• Paid time off and 13 paid company holidays.
• Maternity and paternity leave.
• Medical, dental, and vision insurance.
• Life and disability insurance.
• 401k plan with company matching.
• Wellness programs and a monthly wellness stipend.
• A dedicated learning budget for professional development.

How to apply

If you are passionate about building data infrastructure that powers meaningful customer insights and want to lead a growing team, we invite you to apply. Please submit your application to join us in our mission to empower maintenance professionals worldwide.