Software Engineering Manager, AI AgentsComcast Corporation • Washington, Utah, United States
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Software Engineering Manager, AI Agents
Comcast Corporation
- Washington, Utah, United States
- Washington, Utah, United States
About
Job Summary About the Role: We are looking for a hands‑on Software Engineering Manager to lead a backend engineering team building production‑grade AI Agent systems. This role sits one level above Senior Software Engineer (E4) and combines people management, execution ownership, and direct technical contribution. You are expected to remain deeply technical, spending at least ~30% of your time coding with the same production systems as your team. You will design, build, review, and operate backend services while also being accountable for team health, delivery, and growth. This is not a “manager only” role. Success comes from leading through context, example, and hands‑on involvement, while scaling your impact through strong people leadership. You will partner with product, design, and leadership to turn ambiguous AI opportunities into dependable, customer‑facing systems—while building a high‑performing team that can sustain this work over time.
Job Description What You Will Do People Management & Team Health
Directly manage a team of backend engineers, owning 1:1s, feedback, performance management, and career development.
Coach engineers on technical growth, system design thinking, and operational ownership.
Build a culture of trust, accountability, and continuous improvement—especially important in AI‑heavy, probabilistic systems.
Hire and onboard engineers who strengthen both technical capability and team dynamics.
Hands‑On Technical Contribution (Minimum ~30%)
Actively write and ship production code across core backend services and agent workflows.
Take ownership of well‑scoped technical areas or services, especially those critical to correctness, reliability, or cross‑team interfaces.
Model high standards in code quality, testing, observability, and operational readiness.
Stay close enough to the codebase to make informed architectural, staffing, and execution decisions.
Technical Leadership Through Example
Guide architectural decisions by contributing designs and implementations—not just reviewing others’ work.
Ensure AI agent behavior is engineered responsibly: tool invocation, state management, memory strategies, reasoning control, failure handling, and evaluation.
Treat prompts and agent policies as production code: versioned, tested, reviewed, and monitored for cost, latency, and reliability.
Set and enforce engineering standards that keep AI‑heavy systems understandable and supportable over time.
Execution Ownership & Delivery
Own planning, prioritization, and execution for the team.
Translate product goals into achievable technical plans while managing tradeoffs across scope, quality, and risk.
Identify delivery and technical risks early and address them proactively.
Ensure the team consistently delivers production‑ready systems, not just proofs of concept.
Testing & Quality of Probabilistic Systems
Lead the team in designing testing and evaluation strategies for non‑deterministic AI components.
Establish guardrails and regression testing that reduce unsafe or unstable behavior in production.
Balance innovation with correctness, observability, and long‑term maintainability.
Operational Excellence & Reliability
Share ownership of production health: uptime, latency, incidents, and post‑incident learning.
Help build a strong on‑call culture where engineers run what they build.
Step in directly during complex incidents when needed—both technically and as a leader.
Cross‑Functional Leadership
Partner closely with product, design, and adjacent teams to align on goals and dependencies.
Communicate clearly with leadership on progress, risks, and outcomes.
Represent the team in technical and organizational forums.
What We’re Looking For Engineering Management Experience
Prior experience as a technical lead or manager, with a demonstrated track record of mentoring and project delivery.
A genuine interest in growing people—not just systems.
Strong Backend Engineering Depth
Extensive experience designing, building, and operating backend systems in Python.
Comfort working with asynchronous frameworks (e.g., FastAPI, asyncio) and distributed architectures.
Ability and desire to remain hands‑on with real production code.
AI Systems Judgment
Hands‑on experience integrating LLMs into real systems.
Strong intuition for AI failure modes, operational risks, and safe system design.
Thinks in workflows, control flow, and safeguards—not just prompt quality.
Execution & Ownership Mindset
Proven ability to deliver complex systems with multiple stakeholders.
Comfortable owning outcomes, not just tasks.
Operational Responsibility
Experience owning customer‑facing systems in production, including incidents and on‑call.
Designs systems that are “easy to wake up to” when something goes wrong.
Culture & Pragmatism
Leads with empathy, clarity, and consistency.
Excited about advanced AI capabilities, but prioritizes stability, debuggability, and long‑term maintainability over novelty.
Comcast EEO Statement Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills Software Engineering; Curious Mindset; Critical Thinking; Adaptability; People Leadership
Salary Primary Location Pay Range: $183,063.62 - $274,595.42
The application window is 30 days from the date the job is posted, unless the number of applicants requires it to close sooner or later.
Education Master's Degree (preferred; alternative combinations of coursework and experience may also be considered)
Relevant Work Experience 5-7 Years
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Languages
- English
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