Note: The job is a remote job and is open to candidates in USA. HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale their businesses. The Senior Engineering Manager will lead the Data Platform & Infrastructure team, owning the strategy, execution, and evolution of foundational data systems while guiding architecture, team development, reliability, security, and cross-functional delivery.
Responsibilities
- Lead, recruit, and mentor an exceptional engineering team
- Direct data infrastructure strategy to drive business and product success
- Oversee resource allocation, including headcount and vendor budget planning
- Establish operational rhythms, goals, and execution frameworks aligned with core business outcomes
- Cultivate an inclusive environment focused on ownership, technical rigor, and continuous professional development
- Champion team morale, engagement, learning opportunities, and delivery velocity
- Guide system architecture, data flow design, quality standards, and platform roadmaps
- Partner with Product and Data leadership to plan, sequence, and execute multi-quarter initiatives
- Define robust platform abstractions, APIs, and SLAs to streamline developer workflows and increase adoption
- Ensure infrastructure resilience through comprehensive monitoring, incident management, disaster recovery, and cost optimization
- Work cross-functionally with Security, Audit, and Analytics Engineering to deploy key capabilities and compliance controls
- Engage with Data, Product, and Finance partners to enable machine learning, experimentation, and business reporting
- Establish and enforce organization-wide standards for pipeline reliability, data security, and quality
- Advocate for automation, engineering best practices, and thoughtful trade-offs between execution speed and long-term scalability
- Thrive in fast-paced, ambiguous settings while cultivating senior technical leaders and building leadership succession through delegated autonomy, developing senior technical leaders and succession depth
- Build strong relationships with leaders across Product, Engineering, Finance, and Go-to-Market
- Improve trust in data through stronger governance and controls
- Increase data consumptions and data-powered products across the organization
- Establish scalable development standards and improve engineering velocity
- Grow and mentor a high-performing data platform engineering team
- Deliver a roadmap that supports both current business needs and future scale
Skills
- 10+ years of experience in software engineering, SRE or infrastructure, data platform engineering, or related fields
- 4+ years managing high-performing technical teams, growing and developing people
- Deep expertise with Snowflake/Google BigQuery/Databricks or equivalent modern data warehousing systems and ecosystem of tools including Airflow, DBT etc
- Familiarity with Git and CI/CD workflows
- Strong understanding of data warehousing concepts and infrastructure workload management
- Experience defining data security, platform SLAs and governance frameworks
- Excellent stakeholder management and communication skills
- Demonstrated ability to influence technical strategy across multiple organizations
- Experience delivering customer-facing data products is a plus
- Experience scaling platform organizations through rapid company growth
- Familiarity with event-driven data architectures, data science & product analytics computational needs and patterns is a plus
- Experience supporting experimentation platforms and machine learning initiatives
- Knowledge of metrics governance and executive KPI frameworks
Benefits
- Remote-first organization with a remote work arrangement
Company Overview