Director of Engineering

Atomic Maps is hiring a Director of Engineering to lead delivery, technical execution, and people leadership across its engineering organization. The role oversees platform and application development, data engineering, infrastructure/DevOps, and AI direction while aligning engineering priorities with customer and market needs.

Responsibilities:

• Set and enforce a high standard for technical quality
• Keep a multidisciplinary team coordinated, aligned and moving in the same direction
• Build a culture of ownership and accountability across disciplines
• Translate strategic company direction into clear engineering priorities
• Own team accountability, prioritization, and performance management across back end, front end, data engineering, and infrastructure
• Own engineering capacity and prioritization against the execution queue
• Set engineering standards across disciplines and remove blockers for developers
• Own engineering hiring: candidate evaluation, technical interviews, and team scaling decisions
• Partner with the team senior architect on platform architecture, technical standards, and cross-cutting system design
• Guide release management in partnership with product team
• Resolve capacity constraints and supply/demand imbalances through reprioritization and resourcing decisions, escalating to the Managing Directors only when a tradeoff affects a company-level commitment
• Provide strategic technical insight on customer commitments and market challenges
• Ability to interact with customers and translate technical aspects into clear business language
• Maintain working knowledge of Atomic’s products (Atomic Flow, Lens, Mind) alongside competition
• Ability to interact with customers and translate technical aspects into clear business language
• Ensure AI tools are effectively incorporated across the engineering workflow: development, code review, testing, spec production, and data operations
• Actively identify and pursue opportunities to build more AI capability into engineering and scalable delivery work
• Set expectations and AI development standards to ensure high quality
• Evaluate new tools and approaches the team brings forward, and make the call on adoption

Requirements:

• Experience managing a multidisciplinary engineering team of 3 or more, spanning multiple disciplines
• A track record of building accountable, high-performing engineering teams, not just running process
• Technical depth sufficient to evaluate architecture tradeoffs and resourcing decisions on a distributed, cloud-native data platform
• Demonstrated ability to connect business and market context to technical prioritization, and to communicate that connection to a technical team
• Experience owning delivery against customer-facing commitments in a B2B or enterprise SaaS environment
• Strong technical fluency with AI tools and agentic/LLM-based systems
• Track record of driving AI tool adoption within an engineering team to increase throughput or capacity, not just experimenting with tools individually
• Experience with geospatial data, remote sensing, or GIS-adjacent platforms
• Experience with STAC, cloud-native geospatial formats (COG, COPC, GeoParquet), or comparable metadata-first architectures
• Experience managing a remote team that includes contractors alongside full-time employees