Manager Software Engineering, AI Agents

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 in 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 overtime. Job Description

Responsibilities

• 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.

Requirements

• 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

Benefits

Additional Information

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the 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. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary

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