---
schema: 1
type: video
title: How Forward Deployed Engineering is done at Ramp — Leo Mehr
description: >-
  It's Friday night, an enterprise sales rep needs an SAP S4 HANA integration to
  hit quota, and the reflexive Forward Deployed answer is yes. Leo Mehr's first
  principle is to pause instead: always be scoping. Saying yes to everything
  buries the team and often does not even serve the customer, so the job is to
  weigh what actually matters against the rest of the queue and decide with that
  context. Ramp's FDE function looks different from its Palantir origins,
  pointed at enterprise customers, but the discipline is the same: scope hard
  before you roll up your sleeves and ship. The second half is what tokens
  change. Look at the FDE pipeline and ask which stages an agent can take over.
  Intake is a good one: requests pour in through account managers and solutions
  engineers, and someone has to read each and turn it into a spec. Ramp wired
  that step to an agent with Notion as the surface, and after a couple of
  iterations account reps were using it directly. The unglamorous parts are what
  make it work: an agent harness, evals with rubrics and human feedback, and
  past requests and help articles as grounding. The close is that the future of
  Forward Deployed needs both, humans for judgment and agents for the volume.
  Speaker info: - https://x.com/leomehr - https://www.linkedin.com/in/leomehr -
  https://leomehr.com/ Timestamps: 0:00 - Introduction: FDE principles at Ramp
  2:10 - Principle one: always be scoping 3:16 - The Friday night SAP
  integration ask 5:04 - When scoping goes wrong 6:33 - Using agents for the FDE
  pipeline 7:57 - Automating request intake into specs 9:14 - Building the spec
  agent in Notion 11:16 - The agent harness and evals 13:27 - The future of FDE
  needs both
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/how-forward-deployed-engineering-is-done-at-ramp-le-72e5c59a604f
markdown: >-
  https://liquidgold.cc/channel/aidotengineer/video/how-forward-deployed-engineering-is-done-at-ramp-le-72e5c59a604f.md
llms: null
parent: 'https://liquidgold.cc/channel/aidotengineer.md'
channel: aidotengineer
updated: '2026-10-24T06:29:59.266Z'
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publishedAt: '2026-07-28T19:00:06.000Z'
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# How Forward Deployed Engineering is done at Ramp — Leo Mehr

It's Friday night, an enterprise sales rep needs an SAP S4 HANA integration to hit quota, and the reflexive Forward Deployed answer is yes. Leo Mehr's first principle is to pause instead: always be scoping. Saying yes to everything buries the team and often does not even serve the customer, so the job is to weigh what actually matters against the rest of the queue and decide with that context. Ramp's FDE function looks different from its Palantir origins, pointed at enterprise customers, but the discipline is the same: scope hard before you roll up your sleeves and ship. The second half is what tokens change. Look at the FDE pipeline and ask which stages an agent can take over. Intake is a good one: requests pour in through account managers and solutions engineers, and someone has to read each and turn it into a spec. Ramp wired that step to an agent with Notion as the surface, and after a couple of iterations account reps were using it directly. The unglamorous parts are what make it work: an agent harness, evals with rubrics and human feedback, and past requests and help articles as grounding. The close is that the future of Forward Deployed needs both, humans for judgment and agents for the volume. Speaker info: - https://x.com/leomehr - https://www.linkedin.com/in/leomehr - https://leomehr.com/ Timestamps: 0:00 - Introduction: FDE principles at Ramp 2:10 - Principle one: always be scoping 3:16 - The Friday night SAP integration ask 5:04 - When scoping goes wrong 6:33 - Using agents for the FDE pipeline 7:57 - Automating request intake into specs 9:14 - Building the spec agent in Notion 11:16 - The agent harness and evals 13:27 - The future of FDE needs both

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/how-forward-deployed-engineering-is-done-at-ramp-le-72e5c59a604f · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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