Senior Manager - Analytics Engineering

About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts.

About the Role:: We're looking for a Senior Manager of Analytics Engineering to lead the team responsible for building the trusted data foundation, i.e. semantic metrics layer, that powers decision-making across the company. You'll oversee a team of analytics engineers who transform raw data into scalable, reliable, and well-governed data models that enable self-service analytics, operational reporting, experimentation, and AI-driven products. As a cross-functional leader, you'll partner closely with Engineering, Product, Data Science, Finance, Marketing, Sales, Customer Success, and Executive Leadership to define our data strategy and ensure high-quality, accessible data at scale. You'll balance technical excellence with business impact, helping the organization become increasingly data-driven while building a high-performing and inclusive team.

Responsibilities:: Leadership & Team Management Hire, develop, and lead a high-performing team of Analytics Engineers Foster a culture of technical excellence, ownership, continuous learning, and collaboration Provide coaching, career development, and regular performance feedback Establish team goals, operating rhythms, and execution processes that align with company priorities to deliver business impact Analytics Engineering Strategy Define and execute the roadmap for analytics engineering, data modeling, semantic layers, and analytics infrastructure Build scalable dimensional models and curated datasets that enable trusted reporting and advanced analytics Drive adoption of analytics engineering best practices including testing, documentation, version control, CI/CD, and code review Own data quality initiatives, observability, lineage, and governance across the analytics ecosystem Continuously improve developer productivity and platform scalability Cross-Functional Partnership Partner with peers on the Data team and business stakeholders to understand evolving analytical needs and translate them into scalable data products Collaborate with Data Engineering to improve data pipelines, ingestion, orchestration, and warehouse performance Work alongside Product Analytics & Data Science to enable experimentation, machine learning, and advanced analytics Support Finance and Executive Leadership with trusted metrics and executive reporting Help establish company-wide