Technical Program Manager, Engineering & Delivery

FieldAI • Irvine, CA

2d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• We celebrate diversity and are committed to creating an inclusive environment for all employees.
• Candidates and employees are always evaluated based on merit, qualifications, and performance.
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
• These tools assist our recruitment team but do not replace human judgment.
• Final hiring decisions are ultimately made by humans.
• If you would like more information about how your data is processed, please contact us.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed