Frontline Engineering Manager, Senior Engineering Manager

United States Digital Space LLC; Seattle (WA); Hybrid; USD 192,000 - 261,000; Full time

Job summary

United States Digital Space LLC is seeking a Frontline Engineering Manager to lead 1-3 teams across Seattle, Portland, and Denver on a hybrid schedule. This full-time role owns end-to-end delivery for freight pricing, matching, onboarding, and settlement, with ~8 years of engineering leadership experience.

You will unblock teams, review architectures, and maintain technical credibility with junior to principal engineers in a frontend/backend stack including Node/TS, React, GraphQL,

Qualifications

• 8+ years of engineering leadership experience
• Experience leading 1-3 teams (FTE + contractors)
• Ability to unblock teams and review architectures

Responsibilities

• Lead 1-3 engineering teams to deliver end-to-end for freight pricing, matching, onboarding, and settlement
• Build and maintain technical credibility across staff levels
• Drive delivery while guiding architecture and code reviews

Skills

Leadership

Team management

Technical depth

Tools

Node.js

TypeScript

React

GraphQL

Kafka

Redpanda

Kubernetes

AWS

Job description

the company | Frontline Engineering Manager, Senior Engineering Manager | Seattle, Portland, Denver | Hybrid 2-3 days/week | Full-time | $192k - $261k

I'm hiring for a frontline EM building the automation and trust layer for freight pricing, matching, onboarding, and settlement.Lead 1-3 teams (FTE + contractors), own delivery end-to-end, ~8 yrs exp typical. I expect everyone in my eng org (myself included!) to be technical and be able to help unblock the team, though your day-to-day wont be in the code.

Technical here means you can/will get into the code yourself and architecture reviews and maintain technical credibility with our junior to staff/principal level engineers. These are not player-coach roles, but these are frontline roles that need that technical capability.

Interesting problems: trust/fraud at marketplace scale; legacy-data-meets-modern-stack; and all kinds of problems that come with powering hundreds of thousands of load/shipment postings every day.

AI/LLM: We are leaned in, but still hold humans responsible for what they push and expect everyone to review and understand llm output before asking other humans to look at a thing.

Culture: I am deeply familiar with Google's project oxygen/aristotle and am building a culture where our teams can do great work with minimal bs.

Location: Must be local to one of our three locations (Seattle, Portland, Denver).

Primary Tech: Node/TS, React, GraphQL, Kafka/redpanda, k8s, AWS, etc

https://careers.the company.com/jobs/?gh_jid=6139594004