Frontline Engineering Manager
DAT · Logistics
unknown
Salary Range (USD)
$192k - $261k
Location
USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Lead 1-3 engineering teams (full‑time employees and contractors)
- • Own delivery end‑to‑end for automation and trust layer
- • Provide technical guidance, architecture reviews, and maintain technical credibility with junior to staff/principal engineers
- • Build systems for freight pricing, matching, onboarding, and settlement at marketplace scale
- • Address trust and fraud challenges at scale
- • Integrate legacy data with modern stack
- • Oversee AI/LLM usage ensuring human review
- • Shape engineering culture based on Google’s Project Oxygen/Aristotle principles
Required Skills
Leadership of engineering teamsHands‑on coding ability and technical depthExperience with Node.js/TypeScriptExperience with ReactExperience with GraphQLExperience with Kafka or RedpandaExperience with KubernetesExperience with AWSAbility to conduct architecture reviewsUnderstanding of trust/fraud systems in marketplace environments
Engineering Culture & Tech Stack
Node.jsTypeScriptReactKafkaRedpandaKubernetesAWS
ownership
technical credibility
hands‑on leadership
Raw Post
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DAT | 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.dat.com/jobs/?gh_jid=6139594004
Reach out directly at .+hn@dat.com; I am the hiring manager for these roles. I'll junk anything that smells of AI.
My profile and background: https://www.linkedin.com/in/kelvin-luu/
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