Engineering Manager, Proton.ai

• 8+ years of professional experience in data engineering or backend engineering, with a focus on large-scale ETL/ELT systems and client integrations
• 2+ years of experience in an engineering management or technical lead role
• Experience managing customer-facing engineering teams or owning externally integrated systems
• Expertise in Python and SQL; strong familiarity with Spark, Airflow, or equivalent
• Proven experience with modern data warehousing (e.g., Delta Lake, BigQuery)
• Knowledge of Looker or equivalent BI tools
• Comfort with containerization, Git workflows, and CI/CD pipelines
• Excellent communication and leadership skills, with the ability to influence cross-functional partners and advocate for engineering priorities

Desirable

• Proton is seeking a seasoned Engineering Manager with a strong Data Engineering background to lead our Client Engineering team
• This team plays a critical role in enabling client success through robust, scalable data pipelines and integrations. As the leader of this team, you will combine engineering leadership with deep technical acumen in data systems to guide the development of scalable infrastructure and customer-facing implementations
• Reporting directly to our Head of Engineering, you will oversee a team responsible for transforming and ingesting customer data into Proton’s platform via Airflow, Python, Spark, and Looker. You’ll own technical decisions, optimize systems, scale operations, and collaborate cross-functionally to deliver impactful solutions to our clients
• Oversee the design, development, and scalability of data pipelines that ingest, transform, and deliver client data
• Guide architectural decisions and improvements as the platform scales from hundreds to thousands of jobs (Airflow, Spark, etc.)
• Ensure strong reliability, testing, and performance across all systems
• Drive continuous improvement in CI/CD, quality assurance, monitoring, and system design
• Lead the agile development process, manage sprint planning, backlog grooming, and ensure timely delivery of features and integrations
• Manage, mentor, and grow a high-performing team of data engineers
• Set clear goals and performance expectations, foster learning and development, and promote a collaborative, mission-driven team culture
• Recruit and onboard engineers with a strong data and integration background
• Partner with clients during onboarding and beyond to understand integration requirements, troubleshoot data issues, and deliver high-quality outcomes
• Serve as a technical escalation point for challenging client data issues
• Collaborate with Customer Success, Product, and Sales teams to align engineering resources with business needs
• Translate customer needs into scalable technical solutions, often acting as a technical advisor to both internal and external stakeholders