GTM Engineer, Pre-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. 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.

As our GTM Engineer, Pre-Sales, you sit at the intersection of our go-to-market teams and our technical build capacity. You understand how various go-to-market teams operate—what slows them down, what they actually need, and where AI or automation creates real 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 reshape how Skydio goes to market. That means the bar isn't just "does it work"—it's "does it scale." A one-off fix that doesn't compound, a workflow that breaks under volume, a tool only one person knows how to use—these aren't wins. You build things that last, that grow, and that make the whole GTM machine better over time.

You move fast. You prioritize ruthlessly. And you never ship something you can't hand off, repeat, or build on top of.

• Spend time with teams across the go-to-market function to understand where the friction is and where AI or automation creates the most leverage
• Turn vague frustrations into concrete, buildable specs: the specific workflow, the data available, and what a better outcome looks like—not just "AI could help here"
• Evaluate opportunities not just by impact, but by scalability—a solution that works for one rep or one campaign isn't worth building; a solution that works across the org is
• Maintain and prioritize a backlog so we're always working on the highest-leverage problems, not the loudest requests

• Own the full build cycle: design, build, ship, iterate—you're not a PM handing off specs, you're the person who makes it real
• Design every solution with growth in mind—it needs to hold up as the team, the data, and the use cases expand. You build for the future while remaining nimble.
• Avoid one-off fixes: if a solution can't be handed off, repeated, or built on top of, it's not done
• Use the right tool for the job—lightweight automations with n8n, Zapier, or Clay for speed; more robust architectures when the problem demands it—and be deliberate about which is which
• Partner with legal and security to deploy solutions responsibly and maintain solid data governance

• 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 org, not in your head
• Track outcomes: is it being used, is it saving time, is it moving the metric it was built for? Feed that back into the next round of prioritization

• You understand how GTM teams work
• You've spent meaningful time working with or inside go-to-market teams—sales, marketing, partnerships, deal desk, or GTM ops. The title matters less than the exposure
• You understand how deals move, how pipelines get managed, how campaigns run, and where the handoffs between teams create friction or opportunity
• You can have a credible conversation with a sales rep about what slows them down, and a separate credible conversation with an engineer about what data is available and what a workflow needs to do

• You've deployed AI-assisted workflows, automations, or tools in a real environment—you know the difference between a demo that looks impressive and something that changes daily behavior and drives real business value
• Technically literate enough to write a real spec, evaluate a build, and spot where AI can drive real business leverage

• You instinctively ask "what happens when this needs to work for 10x the users, 10x the data, or 10x the…