GTM Engineer, Post-Sales

Skydio•San Mateo, CA

5d•$120,000 - $155,000•Onsite

About The Position

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. This is a high-impact role. The work you do here won't just help one team move faster, it will shape how Skydio supports customers after the sale. The bar isn't just "does it work," it's "does it scale." You build systems that last, grow with the business, and make post-sales operations better over time.

Requirements

You understand operational systems.
You've spent meaningful time working with or alongside Customer Success, Support, Operations, Business Systems, BizOps, or similar teams.
You understand how customer records, product usage, support cases, orders, RMAs, assets, and operational workflows fit together.
You can translate business problems into technical solutions and communicate effectively with both operators and engineers.
You're a builder with strong technical instincts.
You've built 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 the data models, transformations, and pipelines that power analytics and business workflows.
Experience designing integrations, APIs, workflows, and system-to-system writebacks across platforms such as Salesforce, NetSuite, Jira, Databricks, and similar systems.
Understands the fundamentals of modern application development, 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.
You build for scale.
You think about maintainability, ownership, and long-term system design from the beginning.
You document as you go and build with handoff in mind.
You know the difference between a prototype and a durable system.
You've got the right instincts.
You move quickly and are comfortable operating with incomplete information.
Strong prioritization and problem-solving skills.
Clear communicator who can translate between business stakeholders and technical teams.

Nice To Haves

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.
Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Responsibilities

Find the right problems to solve: 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.
Build things that scale: 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's a custom application, integration, workflow, reporting layer, or AI-powered solution.
Drive adoption, not just delivery: Getting something built is half the job. Getting people to use it is the other half.
Document and systematize what you build so knowledge lives in the organization, not in your head.
Track outcomes and improve based on adoption, feedback, and business impact.