Job Overview
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond .
About The Role
We're looking for a Lead GTM Platform Engineer / Architect to lead the design and development of the Skydio GTM platform.
This is a hands-on engineering leadership role. We believe the best architects are builders, people who can design elegant systems, write production-quality code, prototype quickly, and mentor other engineers through technical leadership.
You'll work directly with executive leadership, product teams, and business stakeholders to solve some of the company's most complex operational challenges. You'll combine software engineering, data architecture, AI, and product thinking to build applications that fundamentally change how our Go-to-Market organization operates.
You'll own the technical vision while remaining deeply involved in implementation, helping shape both the architecture and the code that powers our platform.
(This role will hire and manage two entry-level AI Engineers)
What You'll Build
You will architect and build products across areas including: • Sales Planning
- Territory & Capacity Planning
- Sales Forecasting
- Deal Operations
- Fulfillment Planning
- Customer Success/Support Operations
- AI-powered GTM assistants
- Slack-native workflows and automation
- Internal AI agents that automate business processes
Responsibilities
Platform Architecture • Own the technical architecture for Skydio's GTM platform.
- Design scalable business applications built on Palantir Foundry.
- Build and evolve a unified business ontology that serves as the foundation for commercial operations.
- Define engineering standards, architecture principles, and platform governance.
Software Engineering • Write production-quality Python, SQL, and TypeScript code.
- Design and build scalable APIs, services, and integrations.
- Build AI-powered applications and autonomous workflows using modern LLM technologies.
- Develop reusable platform components that accelerate future application development.
- Review code, mentor engineers, and establish engineering best practices.
- Prototype new ideas rapidly while ensuring production-grade quality.
Data & AI • Design scalable data models and semantic business objects.
- Build reliable ELT/ETL pipelines and event-driven data workflows.
- Develop AI copilots, intelligent assistants, and agentic workflows.
- Apply Retrieval-Augmented Generation (RAG), vector search, and modern AI architectures where they create measurable business value.
Business Partnership • Partner directly