Data Science & Engineering Manager

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Oversee the AllTrails Data Science & Engineering team

• Recruit, mentor, and guide data engineers and applied data scientists

• Promote team well-being, professional growth, and high performance through effective coaching and performance management

• Collaborate with cross-functional leaders to convert business needs into technical specifications and prioritize projects

• Provide expertise on data, AI, and automation to enhance internal productivity, trail content, map quality, and member personalization

• Lead the design and implementation of scalable batch and streaming data pipelines

• Enhance the productionization of machine learning models and algorithmic systems

• Manage orchestration, transformation, alerting, and the flow of organizational data

• Address performance bottlenecks and system failures to maintain high uptime

• Advocate for data reliability, quality, privacy, compliance, and cost efficiency

• Develop data cataloging, documentation, and self-service tools

• Accelerate time-to-insight, debugging speed, and deployment velocity

• Report directly to the Director of Engineering, Maps & Data

• Assist product pods and partner teams including data analytics, finance, and marketing

⛳️ Requirements

• Minimum of 5 years in data engineering

• At least 3 years of experience managing teams in data engineering, machine learning, and data science

• Proven experience in coaching senior individual contributors and fostering career development

• Flexible and self-driven leadership capabilities in fast-paced, ambiguous environments

• Practical experience managing GCP data infrastructure and implementing data governance

• Experience with production-grade data access, storage, caching, and optimization

• Deep proficiency with BigQuery or Snowflake, Dataform or dbt, and Apache Airflow

• Expertise in designing SQL/Python pipelines utilizing Dataflow, Spark, or similar parallel processing frameworks

• Understanding of dimensional and star-schema data modeling

• Familiarity with Docker/Kubernetes, CI/CD, and monitoring and observability tools such as Datadog or New Relic

• Availability to participate in a monthly on-call rotation

• Experience overseeing the full ML lifecycle/MLOps for recommendation, ranking, personalization, and classification engines

• Capability to lead foundational platforms and applied data products

• Skill in transforming business requirements into technical specifications and delivering projects from start to finish

• Offers contingent upon successful background check

• Must be authorized to work in the United States, as indicated by the U.S.-based position and E-Verify participation

🏝️ Benefits

• Competitive and fair compensation, including equity ownership and performance-based bonuses

• Comprehensive health, dental, and vision insurance

• Unlimited paid time off in addition to company holidays

• Monthly company-wide no-meeting days

• Fully paid parental leave for both birthing and non-birthing parents

• 401k matching and financial wellness resources through Origin

• Remote work stipend for home office setup

• Annual learning stipend

• Exclusive discounts on subscriptions and merchandise for employees, friends, and family