Software Engineering Manager, Data & Analytics

Limble•Charlotte, NC

6d•Remote

About The Position

Limble is seeking a Software Engineering Manager for Data & Analytics to establish and lead a new data capability within their engineering organization. This role will be responsible for the strategy and execution of data collection, storage, and surfacing of customer-facing insights across the platform, with a focus on leveraging AI tooling. The manager will own the data repository and reporting framework, ensuring it serves as a robust foundation for other engineering teams. This is a player-coach role requiring both technical leadership in architecture and standards, and team building and management. The ideal candidate will have strong opinions on hiring, data architecture, and quality delivery for analytics infrastructure in a scaling B2B SaaS environment, and will be empowered to define the architecture from the outset.

Requirements

5+ years of experience in data engineering, analytics engineering, or related discipline
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 operational vs. analytical data stores and the pipelines 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 (monitoring, alerting, SLAs, incident response)
Actively leveraging AI coding tools (GitHub Copilot, Cursor, Claude, or similar) and setting expectations for the team
Some exposure with embedding AI driven capabilities inside of a SaaS product
Comfortable in a player-coach role (writing design docs, reviewing schemas, query optimization)
Track record of hiring and developing engineers
Strong communicator capable of translating technical decisions for business stakeholders
Bias toward simplicity over complex solutions
Located in or near the Charlotte, NC metro area

Nice To Haves

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
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

Responsibilities

Define and drive the strategy for Limble's analytical data infrastructure
Design the boundary between transactional data stores and the analytical layer, ensuring performance and maintainability
Architect and own the reporting framework for embedding analytics into product areas
Partner with product leadership to translate business needs into a technical roadmap
Build, hire, and lead a high-performing team of data and analytics engineers
Drive architectural decisions through ADR reviews
Own data pipeline observability, defining SLAs, building alerting, and managing consumer communication
Establish data governance and quality standards
Drive adoption of the reporting framework across teams
Review critical design decisions, contribute to architecture, and assist the team
Actively leverage AI coding tools and set expectations for the team to do the same