Manager Software Engineering, AI AgentsBlueface • Washington, Utah, United States

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Manager Software Engineering, AI Agents

Blueface

Washington, Utah, United States

Washington, Utah, United States

Über

Make your mark at Comcast – a Fortune30 global media and technology company. From connectivity and platforms we provide, to content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award‑winning technology team that turns big ideas into cutting‑edge products, platforms, and solutions that our customers love. Job Summary 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 in the same production systems as your team. 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. 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. Technical Leadership Through Example: Guide architectural decisions by contributing designs and implementations. 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. Execution Ownership & Delivery: Own planning, prioritization, and execution for the team. Translate product goals into achievable technical plans while managing trade‑offs across scope, quality, and risk. Identify delivery and technical risks early and address them proactively. 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. Operational Excellence & Reliability: Share ownership of production health – uptime, latency, incidents, and post‑incident learning. 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. 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. Backend Engineering Depth: Extensive experience designing, building, and operating backend systems in Python, including asynchronous frameworks such as FastAPI and asyncio. AI Systems Judgment: Hands‑on experience integrating LLMs into real systems, with an intuition for AI failure modes, operational risks, and safe system design. Thinks in workflows, control flow, and safeguards. Execution & Ownership Mindset: Proven ability to deliver complex systems with multiple stakeholders, own outcomes, and manage risk. Operational Responsibility: Experience owning customer‑facing systems in production, including incidents and on‑call duties. Designs systems that are easy to wake up to when something goes wrong. Culture & Pragmatism: Leads with empathy, clarity, and consistency. Prioritizes stability, debuggability, and long‑term maintainability over novelty. Education & Experience Master’s Degree preferred; extensive related professional experience may be considered. 5‑7 Years of relevant work experience. Compensation & Benefits Salary range: $183,063.62 – $274,595.42 (base pay). Additional compensation may include bonus and commission for applicable positions. Benefits include health, dental, vision, retirement, and other programs. Visit the career site for details. Disclaimer The above information indicates the general nature of the duties performed by employees in this role and is not a comprehensive inventory of all responsibilities. EEO Statement Comcast is an Equal Opportunity Employer and considers qualified applicants regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or genetic information.
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Washington, Utah, United States

Sprachkenntnisse

English

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