GTM Engineer, Post-Sales

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. As our GTM Engineer - Post Sales, you sit at the intersection of our post-sales teams and our technical build capacity. You understand how Customer Success, Support, Field Services, Training, and Operations teams work, what slows them down, and where software, automation, data, or AI can create leverage. You own the full cycle: find the problem, design the solution, build it, ship it, and make sure it sticks.

Responsibilities

Spend time with Customer Success, Support, Field Services, Training, and Operations teams to understand where friction exists and where technology can help; Turn vague problems into clear requirements, technical designs, and measurable outcomes; Evaluate opportunities based on impact, scalability, and long-term value; Maintain and prioritize a backlog focused on the highest-leverage work; Own the full build cycle: design, build, ship, iterate; Design systems that create a reliable source of truth across customer-facing workflows; Build internal applications, integrations, automations, and AI-powered tools that reduce manual work and improve visibility; Connect and operationalize data across systems such as Salesforce, NetSuite, Jira, Databricks, Palantir Foundry, and other business platforms; Use the right tool for the job, whether that is a custom application, integration, workflow, reporting layer, or AI-powered solution; Drive adoption, not just delivery; Document and systematize what you build so knowledge lives in the organization; Track outcomes and improve based on adoption, feedback, and business impact

Requirements

Meaningful time working with or alongside Customer Success, Support, Operations, Business Systems, BizOps, or similar teams; Understanding of how customer records, product usage, support cases, orders, RMAs, assets, and operational workflows fit together; Ability to translate business problems into technical solutions and communicate effectively with operators and engineers; Experience building internal tools, integrations, automations, data products, or AI-powered applications in a real environment; Experience building applications, dashboards, and operational tooling that people rely on every day; Experience working with large operational datasets and building data models, transformations, and pipelines; Experience designing integrations, APIs, workflows, and system-to-system writebacks across platforms such as Salesforce, NetSuite, Jira, Databricks; Understanding of modern application development fundamentals including APIs, authentication, routing, deployments, source control, and operating software in production; Familiarity with modern AI systems including retrieval, embeddings, semantic search, and LLM-powered applications; Direct experience working with Palantir Foundry; Experience with Databricks or similar lakehouse platforms; Experience with Salesforce and NetSuite data models; Experience building data pipelines, analytics layers, and business intelligence solutions; Experience building AI-powered applications using LLMs, retrieval systems, and embeddings; Hands-on experience building automations with Make, n8n, Zapier, or similar tools; Ability to move quickly and operate with incomplete information; Strong prioritization and problem-solving skills; Clear communication between business stakeholders and technical teams

Nice to have

FAA Part 107 certification (strongly encouraged; required for certain positions)

Benefits

Competitive base salaries; Equity in the form of stock options; Comprehensive benefits packages; Group health insurance plans; Paid vacation time; Sick leave; Holiday pay; 401K savings plan; Relocation assistance may be provided