Data Science & Engineering Manager

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🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🌲 Oregon – Remote ☕ Washington – Remote

💵 $170k - $215k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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AllTrails

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

AllTrails is an app dedicated to outdoor enthusiasts, providing a comprehensive platform for exploring trails across countries, regions, cities, and parks. It offers features for creating and printing maps, exploring points of interest, and connecting with a community of outdoor lovers. AllTrails is committed to environmental sustainability, partnering with One Tree Planted and supporting initiatives like 1% for the Planet and Leave No Trace. The company encourages users to 'Find Your Outside' and connects a global community through its apps available in multiple languages.

📋 Description

• Lead the AllTrails Data Science & Engineering team • Lead, hire, and coach data engineers and applied data scientists • Foster team health, professional development, and high performance through coaching and performance management • Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives • Advise on data, AI, and automation for internal productivity, trail content, map quality, and member personalization • Drive architecture and delivery of scalable batch and streaming pipelines • Scale productionization of ML models and algorithmic systems • Oversee orchestration, transformation, alerting, and organizational data flow • Troubleshoot performance bottlenecks and system failures to ensure high uptime • Champion data reliability, quality, privacy, compliance, and cost efficiency • Build data cataloging, documentation, and self-service tools • Improve time-to-insight, debugging speed, and deployment velocity • Report to the Director of Engineering, Maps & Data • Support product pods and partner teams including data analytics, finance, and marketing

🎯 Requirements

• 5+ years in data engineering • 3+ years managing data engineering, machine learning, and data science teams • Experience coaching senior individual contributors and developing careers • Adaptable, self-motivated leadership in fast-paced, ambiguous environments • Hands-on experience managing GCP data infrastructure and enforcing data governance • Production-grade data access, storage, caching, and optimization experience • Extensive proficiency with BigQuery or Snowflake, Dataform or dbt, and Apache Airflow • Expertise designing SQL/Python pipelines using Dataflow, Spark, or similar parallelized processing frameworks • Knowledge of dimensional and star-schema data modeling • Familiarity with Docker/Kubernetes, CI/CD, monitoring and observability tools such as Datadog or New Relic • Willingness to participate in a monthly on-call rotation • Experience guiding full ML lifecycle/MLOps for recommendation, ranking, personalization, and classification engines • Ability to lead platform foundations and applied data products • Ability to translate business requirements into technical specifications and deliver projects end-to-end • Offers contingent on successful background check • Must be eligible to work in the United States, as indicated by the U.S.-based position and E-Verify participation

🏖️ Benefits

• Competitive and equitable compensation, including ownership through equity and performance-based bonuses • Comprehensive health, dental, and vision coverage • Unlimited PTO in addition to company holidays • Monthly company-wide no-meeting days • Fully paid parental leave to birthing and non-birthing parents • 401k Match and financial wellness resources through Origin • Remote work stipend for a home office • Annual learning stipend • Exclusive discounts on subscriptions and merchandise for employees, friends, and family