Lead GTM Platform Engineer
Leads the architecture and hands-on development of a GTM platform spanning enterprise applications, data systems, AI assistants, and automation. Requires at least five years of software engineering experience, expert Python and SQL skills, and strong platform, cloud, API, and data architecture expertise.
About the job
Responsibilities
Platform Architecture
- Own the technical architecture for Skydio’s GTM platform.
- Design scalable business applications on Palantir Foundry.
- Build and evolve a unified business ontology 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.
- Review code, mentor engineers, and establish engineering best practices.
- Prototype rapidly while maintaining production-grade quality.
Data and 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, vector search, and modern AI architectures.
Business Partnership
- Partner with executives across Sales, Finance, Customer Success, Support, Product, and Operations.
- Translate business challenges into scalable software products.
- Drive adoption of AI and automation across the GTM organization.
- Prioritize work based on measurable business impact.
Requirements
- 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 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 Google Cloud.
- Strong understanding of software architecture, observability, reliability, and security.
- Excellent communication skills and ability to work with executives and cross-functional partners.
- FAA Part 107 certification is strongly encouraged within the first 60 days and required for certain positions.
Nice-to-haves
- Palantir Foundry or Palantir AIP
- PySpark or Apache Spark
- Databricks
- Salesforce Platform and APIs
- Slack APIs
- OpenAI, Anthropic, Gemini, or other LLM platforms
- MCP, RAG, vector databases, LangGraph, LangChain, or similar AI frameworks
- Experience building platforms for Revenue Operations, Sales, Customer Success, Finance, Supply Chain, or Operations
Compensation and Benefits
- Annual base salary: $230,000–$303,000 USD.
- Equity through stock options.
- Comprehensive health insurance plans for eligible regular, full-time employees.
- Paid vacation, sick leave, holiday pay, and a 401(k) savings plan.
- Relocation assistance may be available for eligible roles.
Skills
Python, SQL, TypeScript, Palantir Foundry, Palantir Aip, REST APIs, AWS, Azure, GCP, Git, CI/CD, Spark, Databricks, Salesforce Apis, Slack Apis
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