Software Engineering Manager, Data & Analytics

Role Description

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 and the analytical layer, 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
• Own the observability of your data pipelines by defining SLAs for data freshness and quality
• Establish data governance and quality standards
• Drive adoption of the reporting framework across stream-aligned teams
• Stay hands-on enough to review critical design decisions and help your team get unstuck

Qualifications

• 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
• 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
• Actively leveraging AI coding tools in day-to-day development
• 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
• Strong communicator who can translate data architecture decisions into language product and business stakeholders 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
• 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 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