Manager III, Software Development - Content Data Platform

Responsibilities

• Lead a cross-functional team of data engineers and geospatial analysts responsible for the full map content data lifecycle: ingesting authoritative data from hundreds of sources, conflating multi-source inputs into a canonical truth with per-fact provenance, and delivering consistent outputs to downstream consumers.
• Support teammates with individual goal-setting, professional development, and mentoring; coach engineers through structured growth plans and partner with senior/staff ICs to set technical direction.
• Drive delivery of the Content Foundation roadmap: extending the unified data ingestion platform to all content types, proving fact-level provenance on land ownership data at national scale, and establishing versioned data contracts with downstream consumers.
• Hire smart, creative engineers and build/sustain a healthy team culture with ownership and collaboration as the norm; mentor across disciplinary lines with geospatial domain experts.
• Partner with the Data & Analytics EM to converge on shared Lakehouse infrastructure, shared metadata and lineage platform, unified analytics infrastructure, and consistent environment patterns.
• Establish and maintain production reliability practices including SLO definition, monitoring, alerting, incident management, on-call sustainability, and postmortem culture.
• Drive a shift-left approach to data quality: schema contracts enforced at ingestion, registration with metadata store, automated validation gates, and SLOs tied to data freshness and completeness.
• Translate business strategy and content team priorities into clear engineering direction; articulate value of platform investments to stakeholders focused on outcomes like fresher trail data or more accurate land ownership boundaries.
• Serve as the engineering interface for vertical product teams (Hunt, Offroad, Fish, Backcountry), data delivery, and the geospatial editing team; manage dependencies and maintain high cross-functional alignment.

Requirements

• At least 5 years of experience directly managing software engineers.
• Proven experience leading teams building data platform or data infrastructure systems (pipelines, storage layers, and operational systems that produce data other teams depend on).
• Experience leading a team through migration off a legacy system to modern infrastructure, including sequencing work without breaking production.
• Proven track record of breaking down large, long-horizon projects into milestones that deliver incremental business value.
• Experience managing or closely partnering with cross-functional teams that aren't organized along traditional engineering/analytics lines.
• Strong hiring and team development instincts; ability to identify and recruit strong data engineers and develop engineers into modern data platform patterns.
• Ability to engage substantively on architectural decisions (ELT patterns, schema evolution, change data capture, data contracts, compute engine trade-offs).
• Strong communication skills with executives and non-technical stakeholders; ability to build organizational buy-in for long-horizon infrastructure investments while pushing for incremental delivery.
• Comfort using AI-assisted tools to improve engineering productivity and helping teams adopt them effectively.
• Permanent US work authorization required.
• Ability to travel for multiple days to a corporate office or other strategic location.