VP of Engineering — Scale AI-Driven Logistics Platform

Optimal Dynamics, Inc.; Oregon; Hybrid; USD 240,000 - 280,000; Full time

Job summary

Optimal Dynamics is seeking a VP of Engineering to lead our growing engineering org, champion architecture and scalable systems, and partner with Product, AI, and Analytics.

You will stay hands-on while setting technical direction, recruiting leaders, and ensuring security, reliability, and rapid delivery as we scale our SaaS platform for enterprise logistics.

The role reports to the COO and requires 10+ years of engineering leadership and experience building production-grade systems.

Qualifications

• :

Responsibilities

• Oversee and enable Engineering Managers, build a cohesive, connected engineering organization.
• Recruit, develop, and retain great engineers, building a team that can scale.
• Strengthen a low-ego, high-ownership culture that delivers rapid and exceptional products.
• Own engineering vision, architecture, and technology strategy with focus on reliability, security, and scalability.
• Implement policy on CI/CD and QA, ensure production-grade delivery.
• Partner with AI/Analytics leadership and Product leadership to align roadmaps and tradeoffs.
• Represent engineering to the C-Suite: report progress, flag risks, and set realistic timelines.
• Enable the organization through lightweight processes, metrics, and cost governance.

Skills

Engineering leadership

Scaling teams

B2B SaaS

Security mindset

Tools

AWS

DynamoDB

Aurora

Python

Java

JavaScript

TypeScript

Terraform

Spacelift

GitHub

CodePipeline

CodeBuild

Dagster

dbt

DuckDB

Trino

Job description

Optimal Dynamics is seeking a VP of Engineering to lead our growing engineering org, champion architecture and scalable systems, and partner with Product, AI, and Analytics.

You will stay hands-on while setting technical direction, recruiting leaders, and ensuring security, reliability, and rapid delivery as we scale our SaaS platform for enterprise logistics.

The role reports to the COO and requires 10+ years of engineering leadership and experience building production-grade systems.