Data Science Manager – Engineering

🕒 August 7

🏄 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

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 99 days.
• Jobs at this company usually fill in 21 days.
• Reposted once.

Apply Now

Check your resume score

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

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 a small, centralized engineering team supporting product, data analytics, finance, and marketing teams • Report to the Director of Engineering within the Maps & Data organization • Own scalable data infrastructure, data governance, reliability, compliance, and production machine learning, AI, and algorithmic solutions • Build and mature MLOps capabilities, including model deployment pipelines, monitoring, and lifecycle management • Coach, manage performance, hire, and assess team health • Partner with stakeholders to gather requirements, prioritize work, and communicate progress, risks, and trade-offs • Drive data governance, reliability, quality, cost-efficiency, privacy, compliance, and data access practices • Oversee orchestration, transformation, alerting, and production data pipelines • Improve data and model cataloging, discoverability, documentation, and self-service • Troubleshoot complex data issues, performance bottlenecks, and system failures • Improve time-to-insight, time-to-detect, time-to-debug, and deployment velocity • Advise on using data, AI, and automation to improve productivity, trail content, map quality, personalization, and member experiences • Balance long-term platform investments with near-term delivery needs • Architect, build, and maintain complex batch and streaming pipelines connected to data warehouses and operational systems • Participate hands-on in research, diagramming, design reviews, code reviews, and on-call rotations • Research and recommend data technologies, tools, and platforms

🎯 Requirements

• 5+ years of experience in data engineering or ML engineering, with at least 3+ years in managing high-performing data engineering, machine learning, and product-applied data science teams • Comfort leading work across both platform foundations and applied data use cases • Hands-on experience designing, building, and operating complex batch and streaming data pipelines using Apache Airflow, Apache Spark, Apache Beam, Google Dataflow, or equivalent • Multiple years of experience governing data infrastructure in Google Cloud Platform • Extensive proficiency with high-volume datasets in BigQuery or Snowflake, preferably with Dataform or dbt • Expertise leading complex data pipelines using SQL and Python • Understanding of data modeling techniques, including dimensional modeling, star schema, and data normalization • Experience with data access patterns, storage solutions, caching, replication, and optimization techniques • Proficiency with Docker and Kubernetes • Experience leading SDLC and CI/CD practices for data pipelines and ML systems • Expertise leading the full MLOps lifecycle in production, including model deployment, versioning, monitoring, drift detection, retraining pipelines, and rollback strategies • Experience supporting AI/ML use cases such as personalization, classification, ranking, and recommendations • Willingness to participate in code reviews and a currently monthly on-call rotation • Ability to translate business requirements into technical specifications and own projects through completion • Strong people leadership skills, including coaching senior ICs, feedback, career development, and inclusive team culture • Comfort operating across strategic planning, stakeholder management, and hands-on technical decision-making • Self-motivation and pride in team and individual work • Comfort with ambiguity and moving quickly while maintaining high standards • Humility, empathy, and open-mindedness • Passion for the outdoors • Bonus: Experience with geospatial data, maps, tiling, graph databases, and/or routing • Bonus: Multi-cloud experience with GCP and AWS • Bonus: B2C company experience • Bonus: Infrastructure as code, such as Terraform • Must be able to work in the United States; visa sponsorship is unavailable

🏖️ Benefits

• Competitive and equitable compensation, including ownership through equity and performance-based bonuses • Comprehensive health, dental, and vision coverage to support your physical and mental well-being • Unlimited PTO in addition to company holidays • Dedicated time once a month to test and improve our product through company-wide no-meeting days • Fully paid parental leave to birthing and non-birthing parents • 401k Match & access to financial wellness resources through Origin • Remote work stipend to help you design a comfortable and productive home office • Annual learning stipend to invest in your long-term professional growth and skills • Exclusive discounts on our subscriptions and merchandise for you and your friends & family • An authentic investment in you as a human being and a professional—we value your identity as much as your output

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume