Original listing text, shown exactly as published by the company.
About the Role
We're looking for a Technical Program Manager who can operate at the intersection of engineering, product, and business — someone deeply technical, trusted instinctively by engineers, and sharp enough to drive clarity and momentum across complex, cross-functional programs. This is a high-agency role with real executive visibility and direct impact on how Ramp's engineering organization scales.
We're looking for someone who is energized by complexity, deeply curious about what AI can unlock for engineering teams, and eager to apply it hands-on in their work. You should be someone who experiments with AI tools regularly, thinks about how they change the way software gets built, and brings that perspective into how you run programs.
What You’ll Do
- Lead large-scale technical programs across engineering and adjacent teams—from CI/CD and infrastructure scaling to incident response, and driving other strategic projects across the engineering organization
- Own Ramp's engineering incident response program, improving processes, running retrospectives, and keeping the bar high on how the org learns from incidents
- Be the connective tissue between platform and product engineering teams, ensuring context flows both ways and nothing falls through the cracks and high-quality execution of projects in an effective manner
- Own programs end-to-end: from scoping and kickoff through delivery, observability, and retrospective
- Partner with engineering leaders to define technical roadmaps, understand how multiple projects overlap and complement each other, and ensure the programs fit within the goals of the organization
- Collaborate with lead engineers, engineering managers and other groups to help communicate business and engineering strategies to the wider organization
- Help shape how the TPM function operates at Ramp: set standards, define playbooks, and raise the bar for how technical programs are run
What You Need
- 5+ years of TPM experience, ideally in a high-growth startup environment
- Genuine AI fluency: you are actively building with and thinking about AI tools (Cursor, Claude Code, etc.) and using them in day-to-day work, not just aware of them
- Ability to operate as both executor and leader. You're the person who does the work and raises the bar for how it gets done
- Proven ability to earn trust quickly and become the person teams want to confide in — this is a relationship-driven role as much as an execution one
- BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, or related)
- Proven ability to lead small, cross-functional teams toward ambitious goals with urgency and agency.
Nice to Haves
- Experience building programs at high-rigor, fast-moving companies
- Background as a software engineer or technical founder
- Familiarity with how LLM-based systems are built and deployed — enough to have a meaningful technical conversation with the engineers building them
