Skydio · San Francisco
Software EngineeringOperationsRemoteFullTimeposted 2w ago
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
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
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.
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.
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.
Partner directly with executives across Sales, Finance, Customer Success, Support, Product, and Operations.
Translate complex business challenges into scalable software products.
Drive adoption of AI and automation across the GTM organization.
Prioritize work based on measurable business impact.
Technical Qualifications
5+ years of software engineering experience building enterprise applications or platform products.
Expert-level proficiency in Python and SQL.
Strong experience with TypeScript or another modern programming language.
Experience building production-grade software using modern software engineering practices.
Strong computer science fundamentals including distributed systems, APIs, object-oriented design, concurrency, and system design.
Experience designing REST APIs and integrating enterprise SaaS platforms.
Experience designing scalable data models and business ontologies.
Experience with Git, CI/CD, automated testing, and production deployment pipelines.
Experience building cloud-native applications on AWS, Azure, or GCP.
Strong understanding of software architecture, observability, reliability, and security.
Excellent communication skills with the ability to work directly with executives and cross-functional partners.
Experience with several of the following:
Palantir Foundry
Palantir AIP
PySpark / Apache Spark
Databricks
Salesforce Platform & APIs
Slack APIs
OpenAI, Anthropic, Gemini, or other LLM platforms
MCP, RAG, vector databases, LangGraph, LangChain, or similar AI frameworks
Experience building platforms supporting Revenue Operations, Sales, Customer Success, Finance, Supply Chain, or Operations is highly desirable.
What Makes You Successful
Love building products not just designing architectures.
Are equally comfortable whiteboarding a distributed system and writing production code.
Thrive in ambiguous, fast-moving environments.
Think like an owner and challenge existing processes.
Care deeply about developer experience, software quality, and platform scalability.
Have a passion for applying AI to solve meaningful business problems.
Enjoy mentoring engineers and raising the technical bar for the entire organization.
Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.
Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $230,000 - $303,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
*Compensation for certain positions may vary based on the position’s location.
#LI-LP1
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/