AllTrails is the app for exploring the outdoors. We help people spend more time outside by connecting them to their next adventure. Home to the world’s largest outdoor community, with members and trails around the globe, you can find AllTrails in the Apple App Store, Google Play Store, and at alltrails.com.
Every day, our team works to get more people outside and help our members have better experiences on the trail. We lead with our values–positivity, innovation, humility, adaptability, inclusivity, and stewardship–in everything we do. Join us!
This is a U.S. based remote position. While this role does not require in-person attendance, we have a strong preference for candidates based in or near one of these cities: San Francisco CA, Portland OR, Seattle WA, Denver CO, and New York NY. Being in one of these cities creates opportunities to connect with teammates through Trail Days, co-working sessions, and local gatherings while still having the flexibility to work remotely. San Francisco employees are highly encouraged to come to the office one day per week. Please note that, at this time, we’re unable to offer visa sponsorship for this role.
About the role
This role leads a small, centralized engineering function of AllTrails that cross-functionally supports the entire business cross-functionally across separate product, data analytics, finance, and marketing teams. The team sits within the Maps & Data org and reports to the Director of Engineering.
The team's scope spans ownership of scalable data infrastructure, data governance, reliability, compliance, and the development and productionization of machine learning, AI, and algorithmic solutions that power internal operations and member-facing product experiences. A core focus of this role is building and maturing the team's MLOps capabilities, including model deployment pipelines, monitoring, and lifecycle management, alongside a strong foundation in hands-on data pipeline design, development, and operation.
This manager will be both a technical leader and a hands-on practitioner: someone who can roll up their sleeves on pipeline architecture and code reviews while also driving the strategy and culture needed to ship data and ML systems reliably into production.
What you'll be doing
Lead and support a small team of talented data engineers and applied data scientists, fostering their professional growth and ensuring high performance through coaching, performance management, hiring, and team health assessments
Partner with cross-functional stakeholders to understand their needs, translate them into requirements, prioritize work, and communicate progress, risks, and trade-offs across a wide range of business-critical and product-critical data initiatives
Drive data governance, reliability, quality, cost-efficiency, privacy, compliance, and data access best practices across our data platform
Oversee the systems and processes that keep data flowing reliably across the organization, including orchestration, transformation, alerting, and production pipelines.
Own and mature the team's MLOps practice including architecture for model deployment, versioning, monitoring, drift detection, evaluation, retraining, and rollback — turning prototype models into dependable, production-grade systems
Champion the creation of tools to improve data and model cataloging, discoverability, documentation, and self-service to enhance overall democratization of data assets.
Troubleshoot complex data issues, performance bottlenecks, and system failures, providing timely and effective resolutions
Create leverage for the broader organization by improving time-to-insight, time-to-detect, time-to-debug, and overall deployment velocity for data-related work
Act as a thought partner on how AllTrails uses data, AI, and automation to improve internal productivity, trail content, map quality, personalization, and other member experiences
Balance long-term platform investment with near-term delivery needs
Architect, build, and maintain complex data pipelines for both batch and streaming workloads, moving data reliably to and from our data warehouse and operational systems; hands-on participation in research, diagramming, design reviews, code reviews, and on-call rotations is expected
Research, evaluate, and recommend new data technologies, tools, and platforms to enhance our data capabilities and improve efficiency
What you bring
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, with the judgment to prioritize effectively across competing stakeholder needs
Demonstrated, hands-on experience designing, building, and operating complex data pipelines, both batch and streaming, using tools such as Apache Airflow, Apache Spark, Apache Beam, Google Dataflow, or equivalent
Multiple years of experience governing data infrastructure in Google Cloud Platform
Extensive proficiency in transforming and governing high-volume datasets in industry-standard columnar SQL-based warehouses such as BigQuery (preferred) or Snowflake, preferably with experience in ELT tools like Dataform or dbt
Proven expertise in leading the design, development, and maintenance of complex data pipelines using SQL and Python
Solid understanding of best data modeling techniques (e.g. dimensional modeling, star schema, data normalization)
Deep understanding and practical experience in data access patterns, storage solutions, caching, replication, and optimization techniques
Proficiency in containerization and orchestration technologies (e.g., Docker, Kubernetes).
Direct experience leading the software development lifecycle (SDLC) and continuous integration/continuous deployment (CI/CD) practices as they apply to both data pipelines and ML systems
Proven expertise leading the full MLOps lifecycle: model deployment, versioning, monitoring, drift detection, retraining pipelines, and rollback strategies in a production environment
Experience supporting AI/ML use-cases such as personalization, classification, ranking, recommendations, etc.
Willingness to be hands-on and participate in code reviews and an on-call support rotation (currently monthly)
Demonstrated ability to collaborate effectively with diverse stakeholders, translate business requirements into detailed technical specifications, and own projects from inception through successful completion
Strong people leadership skills, including coaching senior ICs, giving clear feedback, growing careers, and building an inclusive, accountable team culture
Comfort operating in a fast-moving environment where you may need to zoom between strategic planning, stakeholder management, and hands-on technical decision-making.
Self-motivation and a deep sense of pride in your team's and your own work
Comfort with ambiguity and an instinct for moving quickly while maintaining high standards.
Humility, empathy, and open-mindedness – a commitment to a collaborative, ego-free environment
Passion for the outdoors
Bonus Points
Experience working with geospatial data, maps, tiling, graph databases, and/or routing
Experience working in a multi-cloud environment (GCP + AWS)
Experience working at a B2C company
Skilled at managing infrastructure as code (e.g. Terraform)
Perks & 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
Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
Offers of employment are contingent upon the successful completion of a background check. AllTrails will consider all qualified applicants, including those with arrest and conviction records, in a manner consistent with all applicable laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.
AllTrails participates in the E-Verify program for all remote locations.
By submitting my application, I acknowledge and agree to AllTrails' Job Applicant Privacy Notice.
All official recruiting communications from AllTrails will come from an [email protected] email address. Please review sender details carefully, and do not engage with anyone asking for payment or sensitive financial information as part of the hiring process.
Skills Required
- 5+ years of experience in data engineering or machine learning engineering
- 3+ years managing data engineering, machine learning, or applied data science teams
- Hands-on experience designing, building, and operating complex batch and streaming data pipelines
- Experience with Apache Airflow, Apache Spark, Apache Beam, Google Dataflow, or equivalent technologies
- Multiple years governing data infrastructure in Google Cloud Platform
- Experience with high-volume columnar SQL warehouses such as BigQuery or Snowflake
- Experience with ELT tools such as Dataform or dbt
- Expertise designing and maintaining data pipelines using SQL and Python
- Understanding of dimensional modeling, star schemas, and data normalization
- Experience with data access patterns, storage, caching, replication, and optimization
- Proficiency with Docker and Kubernetes
- Experience leading SDLC and CI/CD practices for data pipelines and ML systems
- Experience leading the full MLOps lifecycle, including deployment, versioning, monitoring, drift detection, retraining, and rollback
- Experience supporting AI/ML use cases such as personalization, classification, ranking, or recommendations
- Willingness to participate in code reviews and a monthly on-call rotation
- Ability to translate business requirements into technical specifications and own projects through completion
- Strong people leadership skills, including coaching senior individual contributors and developing careers
- Experience with geospatial data, maps, tiling, graph databases, or routing
- Experience in a multi-cloud environment using GCP and AWS
- Experience working at a business-to-consumer company
- Experience managing infrastructure as code with Terraform
- Passion for the outdoors
What We Do
AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 40 million people worldwide.
