Forward Deployed Engineer
Middesk
| Company | Middesk |
| Category | Engineering |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 148k–255k |
| Posted | 6 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT MIDDESK:
Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
ABOUT THE ROLE:
We're hiring a Forward Deployed Engineer (FDE): a deeply technical builder and technical leader who thrives at the intersection of engineering, product, and real customer problems.
You'll work shoulder-to-shoulder with customers and internal product and engineering teams to design, ship, and iterate on mission-critical integrations and AI-driven systems that run in production. You'll write real code, own complex deployments end-to-end, and help shape how these systems are built across Middesk. Forward Deployed Engineers close the gap between product intent and real-world usage—acting as a tight feedback loop that shapes both how our product is used and what it becomes.
You will act as a technical leader, helping set direction, influence architecture, and establish best practices for how we deploy and operate systems in the real world.
This role is ideal for a recovering founder, a former core engineer who misses direct customer impact, or someone who thrives on ownership and wants to build real systems where the feedback loop is immediate.
WHAT YOU’LL DO:
Own Technical Direction for Deployments
- Lead architecture and technical design for complex, customer-facing systems and integrations.
- Make and communicate clear trade-offs across speed, reliability, and scalability.
- Identify systemic risks and drive improvements across deployments, not just one-off solutions.
- Establish patterns and standards that other engineers can build on—helping define what "great" looks like for Forward Deployed Engineering at Middesk.
Build & Deploy Real Systems
- Partner deeply with strategic customers to understand their architecture, workflows, and constraints.
- Design, build, and deploy production-grade integrations using Middesk APIs, data pipelines, and AI workflows.
- Own deployments end-to-end: from architecture and implementation to rollout, monitoring, and iteration. Deployment quality matters—we operate in the critical path of customer systems.
- Solve ambiguous, high-impact problems that don't yet have established playbooks.
AI, Agents & Evaluation
- Build and operate LLM- and agent-based systems in real customer workflows.
- Design and maintain evaluation frameworks (evals) to measure quality, reliability, and correctness of LLM outputs and agent behavior.
- Create test harnesses, metrics, and feedback loops to continuously improve AI-driven systems.
- Feel comfortable running multiple coding agents or automated workflows in parallel, debugging failures, and reasoning about system behavior.
Influence Product & Engineering Direction
- Translate deployment learnings into reusable abstractions, internal tooling, and product improvements.
- Influence roadmap priorities by surfacing recurring patterns, technical gaps, and opportunities for leverage.
- Participate in architecture discussions and contribute to org-wide technical decisions.
- We believe engineering velocity is only valuable if it delivers customer value—your role is to make sure it does.
Lead & Raise the Bar
- Lead through influence, not authority—setting a high standard for engineering quality and pragmatism in a high-ownership, high-trust environment.
- Guide engineers through design reviews, code reviews, and hands-on collaboration.
- Enjoy real autonomy, direct influence on product direction, and deep technical problems with real-world impact.
- Work with a team t
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