Engineering Manager - Reporting

About Us: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users  with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About the Role We’re building the most powerful reporting and analytics engine in our industry — a system that brings unified insights across marketing, sales, revenue, and automation into one seamless platform that transforms data into decision-making intelligence.This is the team responsible for turning raw, multi-channel, multi-source event data into clean, trustworthy, real-time intelligence. That’s the mission. That’s the team. And you’ll lead it. This isn’t a “manage dashboards” role. This is the foundation of data intelligence across the entire HighLevel ecosystem that helps millions of businesses make real business decisions, in real time. If the data is wrong, businesses lose trust. If reports are slow, people lose clarity. Your job is to make sure that doesn’t happen. As an Engineering Manager, you’ll manage a team of 6-10 engineers responsible for the full Reporting & Analytics platform — pipelines, modeling, transformations, caching, query execution, and visualization layers. This is the central data intelligence layer of HighLevel — and you’ll own its stability, scale, and future Responsibilities:

Architecture: Redesign core reporting pipelines to be modular, fault-tolerant, and horizontally scalable. Onboarding a new product? Enable reporting out of the box.

Execution: Balance rapid iteration with the quality standards required for mission-critical analytics. This system has to fly and land safely — every single time.

People: Hire smart. Set standards. Give autonomy. Push growth.

Collaboration: Work tightly with Product and Design — but you own the technical outcomes.

Utilize billions of events from multiple HL modules (CRM, Calendars, Conversations, Payments, Email/SMS, Calls, Workflows).

Generate cross-object insights like attribution, revenue forecasting, activity intelligence, and customer behavior patterns.

Power an AI layer capable of answering natural-language questions using real-time HighLevel data.

Connect internal and external sources, including GA4, Google Sheets, APIs, and more.

Enable reporting marketplace, where users and developers can build and publish their own report templates.

Lead the design of scalable, high-performance systems to improve reliability, latency, and throughput across time-sensitive APIs and workflows.

Work with technologies like NestJS, Firestore, MongoDB, ClickHouse, ES, Redis, GCP Pub/Sub, Queuing Systems and Service Mesh-based microservices.

Drive technical direction across both product features and platform layers to ensure stability, scalability, and maintainability.

Integrate and optimize AI-assisted development tools, improving developer productivity while ensuring accuracy and minimizing hallucinations.

Collaborate closely with Product, Design, and AI teams to deliver impactful, user-facing features and backend systems.

Mentor and support other engineers, fostering a culture of technical excellence, learning, and ownership.

Proactively identify and solve performance bottlenecks, scalability challenges, and security concerns in a multi-tenant environment.

Requirements:

8+ years in software engineering, with at least 2 years leading teams building large-scale, high-availability backend or data systems.

Experience scaling distributed data pipelines or analytics platforms handling high-volume datasets.

Strong understanding of event-driven systems, performance optimization, and distributed architecture.

Demonstrated success leading teams in fast-paced, product-driven environments.

Experience with modern front-end frameworks (e.g., React, Vue, Angular) and building full-stack web applications.

Proven track record of architecting complex systems and delivering scalable, high-performance web apps in production.

Strong understanding of software design patterns, API design, and microservices architecture in a multi-tenant environment.

Skilled in guiding technical architecture, making high-impact engineering decisions, and mentoring fellow engineers.

Experience with code quality practices, automated testing, CI/CD pipelines, and dev tooling optimization.

Excellent problem-solving skills, with clear and collaborative communication across cross-functional teams.

Preferred Experience:

Strong familiarity with our tech stack (GCP, Node.js, databases mentioned above).

Proven track record of mentoring high-potential engineers and leaders.

Experience building or operating large reporting, or analytics systems.

Experience contributing to architecture and design decisions of mission-critical platforms.