Data Science & Engineering Manager

AllTrails

Data Science & Engineering Manager leading AllTrails’ data engineering, AI, ML, and governance teams. Building scalable infrastructure and personalization systems for the outdoor exploration app.

Posted 8/7/2026full-timeRemote • California, Colorado, New York, Oregon, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering and data science teams, with a strong focus on managing GCP data infrastructure, optimizing data pipelines, and ensuring data quality and compliance. Proven ability to translate business needs into technical solutions while fostering team development and high performance.

Highest-signal resume keywords

Data Engineering ManagementMachine Learning Lifecycle/MLOpsGCP Data InfrastructureSQL/Python Pipeline DesignData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine LearningSQLPythonBigQuerySnowflakeDataformApache AirflowDataflowSpark

Soft Skills

LeadershipCoachingAdaptabilitySelf-MotivationPerformance Management

Tools & Technologies

DockerKubernetesCI/CDDatadogNew Relic

Industry Keywords

Data QualityData PrivacyData ComplianceData CatalogingData Transformation

Tech Stack

Tools & technologies

AirflowApacheBigQueryDockerGoogle Cloud PlatformKubernetesPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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