Get more other jobs in your inbox
Verified daily — no ghost listings.
About This RoleAI processing…
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential
Key Responsibilities
- 1Lead 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
- 2Own Ramp's engineering incident response program, improving processes, running retrospectives, and keeping the bar high on how the org learns from incidents
- 3Be 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
- 4Own programs end-to-end: from scoping and kickoff through delivery, observability, and retrospective
- 5Partner 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
- 6Collaborate with lead engineers, engineering managers and other groups to help communicate business and engineering strategies to the wider organization
- 7Help shape how the TPM function operates at Ramp: set standards, define playbooks, and raise the bar for how technical programs are run
Requirements
- 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
- Familiarity with how LLM-based systems are built and deployed — enough to have a meaningful technical conversation with the engineers building them
- 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.
Perks & Benefits
Apply to This Job in Minutes
Generate ATS-optimized resume + cover letter + interview prep with Jobease.ca AI. Complete your application faster.
75% of AI Resumes Get Rejected
Beat the ATS with Jobease.ca's AI Resume Builder. Optimized for real hiring systems.
Build My ResumeProfile Match
Loading…Checking your profile against this job…
Job Overview
Share This Job
Track All Your Applications
Never lose track again. Jobease.ca organizes every application, interview, and follow-up.
Organize My Search