Forward Deployment Engineer
US$195,000 – US$250,000 / yr base salary
Posted 1 Oct 2026
Advertised as “Founding Forward Deployment Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$195,000 – US$250,000 / yr |
|---|
ABOUT GLIMPSE
Glimpse is the leading AI platform for CPG brands — automating critical back-office workflows like deductions management, revenue recovery, and cash application. Since launching in April 2024, we've grown from 0 to 200+ customers, raised $52M from investors including a16z, 8VC and Y Combinator.
Our AI agents retrieve deduction data, validate charges, automate cash application, and dispute invalid claims — work that would take a full-time employee years to complete. For a $1B CPG brand, a single Glimpse agent reviewed 17,000 deductions in under 24 hours, identifying over $10M in recoverable revenue.
We're building the next-generation suite of services for consumer brands and are looking for exceptional people to help us scale.
ABOUT THE ROLE
We are seeking a Founding Forward Deployment Engineer. You'll sit at the point where customer reality meets our product: messy ERPs, undocumented data, and asks that sound simple until you dig in. You'll turn that ambiguity into working, well-built software. You'll also define what the FDE function looks like as it grows. The integration patterns, validation standards, and ways of working you set up will outlast any single customer.
WHAT YOU'LL DO:
-
Own customer problems end to end. Take a vague customer ask and drive it to a shipped solution without waiting for a spec. Pick up the work nobody assigned when it matters.
-
Find the real problem. Look past what customers literally request to what will actually make them successful. Turn scattered and conflicting feedback into a clear product direction the team can build against.
-
Build data integrations that hold up. Move and reconcile SKU, inventory, transaction, and invoice data across legacy systems and modern data stacks. Handle undocumented sources, partial data, backfills, and idempotent reprocessing as a matter of course.
-
Design patterns that scale. Build integration approaches that work across customers and ERPs, not one-off scripts. Plan for failure modes, scale, and future change before they force your hand.
-
Make correctness a first-class requirement. Build validation, exception handling, and reconciliation into every workflow, especially where AI touches financial data. Know when an AI step shouldn't be used. Help define how Glimpse proves AI-driven outputs to customers and auditors.
-
Set the bar for good code. Write clean, correct software. Use AI dev tools as a core part of how you work. Reason openly about tradeoffs.