170K–215K USD / year
Data Science & Engineering Manager
Engineering managerRemote — United States
Published on 2026-08-06
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About this role
Lead a small data engineering and applied data science team supporting business and product groups across AllTrails. The role combines people leadership and hands-on technical work, with a focus on reliable data infrastructure and production-ready machine learning systems.
About the company
AllTrails is a platform dedicated to outdoor enthusiasts, providing a comprehensive database of trail information, user-generated reviews, and mapping tools to help users find and explore hiking, biking, and running trails. The company focuses on enhancing outdoor experiences for all levels of adventurers.
The team
Centralized data engineering and applied data science function within the Maps & Data organization, reporting to the Director of Engineering.
Stack
Google Cloud PlatformBigQuerySnowflakeSQLPythonApache AirflowApache SparkApache Beam
What you'll do
- Coach, develop, hire, and manage a small team of data engineers and applied data scientists.
- Design, build, and operate reliable batch and streaming data pipelines.
- Lead data governance, quality, reliability, privacy, compliance, and cost-efficiency practices.
- Develop MLOps capabilities for deployment, versioning, monitoring, drift detection, retraining, and rollback.
- Partner with stakeholders to prioritize initiatives, define requirements, and communicate progress and trade-offs.
- Improve data and model discoverability, documentation, cataloging, and self-service.
- Participate hands-on in architecture, design and code reviews, troubleshooting, and on-call rotations.
What we're looking for
- At least 5 years of data or ML engineering experience and 3 years managing relevant teams.
- Hands-on experience designing and operating complex batch and streaming data pipelines.
- Experience governing data infrastructure on Google Cloud Platform.
- Strong SQL and Python skills, with experience in high-volume columnar warehouses such as BigQuery or Snowflake.
- Production MLOps experience covering deployment, monitoring, drift detection, retraining, and rollback.
- Experience with containerization, orchestration, SDLC, and CI/CD for data and ML systems.
- Strong people leadership, stakeholder communication, and project ownership skills.
- Willingness to contribute hands-on and participate in a monthly on-call rotation.
Nice to have
- Experience with geospatial data, maps, tiling, graph databases, or routing.
- Experience in a GCP and AWS multi-cloud environment.
- B2C company experience.
- Infrastructure-as-code experience, such as Terraform.
- Passion for the outdoors.
Benefits
- Equity and performance-based bonuses.
- Unlimited PTO and company holidays.
- Fully paid parental leave.
- 401(k) match.
- Remote work stipend and annual learning stipend.
- Health, dental, and vision coverage.