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FieldAI

Posted 8 days ago

Open

Technical Program Manager, Engineering & Delivery

IrvineOn-siteFull-time

AI Summary

Engineering Lead focused on building and guiding the tooling, workflows, and delivery processes that speed software shipping. Hands-on role improving bug triage, Jira architecture, and end-to-end engineering toolchains.

About this role

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We're looking for an Engineering Lead, Effectiveness & Delivery to design and implement the engineering systems, tooling, and workflows that make our organization faster, more reliable, and more connected — from how we identify and resolve bugs, to how we plan and deliver software, to how work flows across product, engineering, QA, and field teams. This is a high-leverage role where you will architect solutions that directly improve how every engineer at FieldAI ships software.

This is a hands-on engineering role, not a coordination role. You will diagnose systemic problems, design solutions, build and ship them, and measure the results. You'll need deep engineering judgment, a strong sense for developer experience, and the ability to earn trust across teams through the quality of your work.

What You'll Do

  • Architect and implement engineering workflow improvements that measurably reduce bug cycle time — from issue identification through triage, assignment, and resolution

  • Redesign and consolidate our Jira project architecture into a unified workspace that eliminates fragmentation, improves cross-team visibility, and reduces overhead for engineers

  • Design and build triage and routing systems, automation, and integrations that remove manual friction from how issues move through the organization

  • Establish engineering-led delivery practices — work decomposition standards, estimation frameworks, and definition-of-done criteria — that make project execution more predictable without adding unnecessary process

  • Design lightweight systems that give engineering leadership accurate, real-time visibility into progress, risk, and capacity

  • Identify and remove structural bottlenecks in how work flows from planning through delivery, diagnosing root causes rather than treating symptoms

  • Build and implement end-to-end toolchain integrations that create traceability from product intent through engineering work, QA validation, and field outcomes

  • Define engineering-owned interfaces and contracts between functions — establishing clear, enforceable definitions of what "ready for engineering," "ready for QA," and "ready for field" actually mean

  • Evaluate, select, and integrate tooling that gives each function appropriate visibility without requiring manual synchronization or status reporting

    • What You Bring to the Table

  • Strong software engineering background with experience in senior engineering or technical leadership roles
  • Track record of improving engineering velocity, delivery predictability, or operational maturity in a meaningful, measurable way
  • Deep familiarity with modern engineering toolchains — CI/CD, issue tracking, project management systems, observability, and developer productivity tooling
  • Systems thinking: you see organizational friction as a design problem and approach it with the same rigor you'd apply to a distributed systems architecture
  • Experience consolidating, redesigning, or scaling engineering infrastructure and workflows across multiple teams
  • Strong ability to influence and drive adoption across teams without relying on positional authority
  • Excellent judgment about when to introduce process and when to remove it — you optimize for engineering output, not process compliance

    • What Will Set You Apart

  • Experience building or leading developer experience, engineering productivity, or engineering operations functions
  • Hands-on experience redesigning Jira, Linear, or similar project management architectures at scale
  • Background in building integrations and toolchain automation across product, engineering, QA, and field/deployment teams
  • Experience in robotics, hardware-adjacent, or field-deployed software environments where the feedback loop between engineering and the field is critical
  • Familiarity with engineering metrics and measurement (cycle time, lead time, deployment frequency, MTTR) and how to use them to drive improvement without creating perverse incentives

    • Skills

    AutomationCapacity PlanningCI/CDCycle TimeDefinition Of DoneDeveloper Productivity ToolingEngineering LeadershipEngineering MetricsField Delivery AlignmentIntegrationsIssue TrackingJiraLead TimeLinearMTTRObservabilityProject Management ToolingQA Validation WorkflowsRisk AssessmentRoadmap PlanningSoftware EngineeringSystems ThinkingToolchain AutomationTraceabilityWorkflow Design

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