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Claryo

Forward Deployed Engineer

$165K - $180K San Francisco, CA, US Posted April 14, 2026

Role Description

We’re hiring a Forward Deployed Engineer (FDE) to help bring our Spatial Generative AI technology into real-world environments. This role sits at the intersection of engineering, product, and customers. You will work directly with warehouse operators to deploy our system, design integrations, and solve complex technical challenges during implementation. This role reports to the VP of Product. We’ve found a ton of value and upside in spending time together, so our team works from our SF and NYC offices three days a week.

Why This Role Matters -------------------------

AI systems only create value when they successfully operate in the real world. Forward Deployed Engineers ensure our technology works reliably in complex warehouse environments and delivers meaningful outcomes for customers.

In this role, you will bridge the gap between product and warehouse operations — deploying systems, solving technical challenges on-site, and translating real-world insights into improvements that shape the future of the product.

Key Responsibilities ------------------------

  • Own technical discovery and configuration for customer warehouse deployments.
  • Drive the end-to-end customer deployment workflow, ensuring successful implementation and adoption.
  • Collaborate closely with Product and Engineering teams to solve technical challenges during deployments.
  • Refine product requirements and feature needs based on customer and field insights.
  • Design and support customer data integrations, collaborating with engineering teams to build scalable solutions.
  • Contribute to and refine the implementation playbook to improve repeatability and deployment efficiency.
  • Act as a technical partner to customers throughout onboarding and deployment.

Requirements ----------------

  • Strong technical background in software engineering, solutions engineering, or technical implementation roles.
  • Experience working directly with customers to deploy and configure technical products.
  • Ability to design and implement data integrations and APIs between systems.
  • Strong problem-solving skills and ability to work through complex technical issues in real-world environments.
  • Excellent communication skills and ability to work across engineering, product, and customer teams.
  • Travel to warehouse facilities to work directly with customers (~ 2 weeks / month)
  • Comfort working in early-stage startup environments with high ownership and ambiguity.

Equal Opportunity Statement -------------------------------

We’re an equal opportunity employer that values diversity and inclusion. We welcome teammates of all backgrounds and don’t discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Benefits ------------

At Claryo, we offer a competitive benefits package that supports your health and well-being, including — top-tier medical, dental, and vision coverage, 401k with employer matching, parental leave, and unlimited vacation.

Compensation Range: $165K - $180K

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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