Forward Deployed Engineer

The role

You will lead Dexterity's robots into new customer sites and market segments. You will close gaps between the standard product and each new customer's challenges, and bring new applications online in the field.

What you will do

• Lead new solutions in the field to ensure successful pilot outcomes and prepare them to scale.
• Diagnose and resolve incidents using logs, telemetry, data and container metrics; document in Jira or Zendesk.
• Drive fixes and improvements with traceability and change management.
• Become the named technical point of contact for one or more strategic sites.
• Tune alerts, dashboards and anomaly detection; track performance against KPI targets.
• Embed on customer sites during go-live, major upgrades or chronic issue investigations.
• Write runbooks, documentation and diagnostic scripts; mentor support teams on new failure modes.
• Partner with Product and Engineering on feature hardening, performance tuning and reliability.
• Own and execute new product introduction software commissioning at customer sites, including setup, testing and calibration.
• Use internal tools such as Portal, Foxglove, Kibana, ArgoCD and Grafana for system analysis.

Required qualifications

• Bachelor's degree in an engineering discipline (Mechanical, Electrical, Industrial, Robotics) or Computer Science, or equivalent practical experience.
• Proficient in Python or C++, with experience implementing a large project or product feature.
• 2+ years in a SaaS, DevOps, Site Reliability or Application Support role handling customer-facing production systems.
• Willingness to work across the full robot stack, from sensors to software, in hands-on physical-AI environments.
• Data-driven mindset: able to instrument, query and visualize telemetry.
• Familiarity with observability platforms such as Grafana, Kibana, Foxglove and ArgoCD.
• Strong analytical and debugging skills; experience parsing logs and telemetry.
• Clear communication of technical findings to customers and in bug reports.
• Self-starter comfortable taking ownership in ambiguous environments.
• Comfortable working extended hours and on-call rotations.

Nice to have

• Experience supporting AI/ML inference platforms, including model drift and retraining pipelines.
• System-level troubleshooting across Linux, networking, containers (Docker/K8s) and cloud services (AWS/GCP/Azure).
• Familiarity with message queues and real-time data buses (REST API).
• Exposure to industrial automation or warehouse management systems.
• Knowledge of CI/CD workflows (GitHub Actions, ArgoCD) and feature-flag rollouts.
• Basic understanding of robot kinematics and perception pipelines.

Before you apply

• Frequent travel to customer locations, typically 50% of time on-site.

About the company

Dexterity builds software-driven, hardware-agnostic robotics systems that pick, move and pack goods, starting with warehouse automation. The company is backed by Kleiner Perkins, Lightspeed Venture Partners and Obvious Ventures.