Sr Manager, Software Engineering

About the role

Reporting to team leadership, this role manages a project-based team of 3-5 resources building cloud-native media platforms, workflow automation, integrations, and AI-driven production services. The Senior Manager translates management's technical direction into executable engineering plans and owns day-to-day delivery, implementation quality, and production readiness. The role stays hands-on in solution design, code review, and high-risk work, and serves as a senior day-to-day technical lead, maintaining continuity of execution and technical direction.

Responsibilities

• Engineering & People Leadership: Select, onboard, direct, and evaluate consultant resources; manage vendor performance, project capacity, deliverables, and structured knowledge transfer as assignments change; build team depth so delivery and technical knowledge don't sit with one individual; stay hands-on in solution design, code review, troubleshooting, and high-risk work.
• Engineering Delivery: Translate architecture direction into technical plans, milestones, staffing, and releases; own backlog management, estimation, dependencies, scope, delivery risk, and release readiness; balance strategic projects, platform improvements, technical debt, and production needs; communicate status, risks, and trade-offs to leadership and stakeholders; partner with stakeholders to clarify requirements, define technical scope and acceptance criteria, and identify delivery risks before work begins.
• Technical Leadership: Provide day-to-day technical direction within architecture standards set by leadership; set expectations for code quality, testing, APIs, documentation, security, and deployment automation; promote reusable services and integrations over one-off solutions; escalate significant architecture, platform, and vendor decisions to leadership; maintain enough architectural depth and institutional knowledge to represent the team's technical direction independently when leadership is unavailable.
• AI Platform & Cloud Engineering: Lead delivery of cloud-native services, media workflow integrations, metadata platforms, archive modernization, and content migration initiatives; oversee delivery of AI-enabled capabilities for metadata enrichment, content discovery, and workflow automation, including model integration, retrieval systems, data quality, and evaluation, in partnership with architects and AI engineers; set standards for responsible use of AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or equivalent); ensure AI-generated code is reviewed, tested, and documented to normal engineering and security standards; ensure appropriate attention to security, identity, cost, monitoring, and supportability across cloud and AI services.
• Production Ownership: Own production readiness and engineering support for services built by the team; ensure monitoring, runbooks, deployment procedures, rollback plans, and escalation paths are in place; lead root-cause analysis and corrective action for recurring defects and reliability issues; maintain clear boundaries between frontline operational support and engineering escalation.

Requirements

• 8+ years hands-on software engineering experience building enterprise applications, APIs, or distributed systems.
• 4+ years managing project-based engineering teams.
• Strong development experience in Python or a comparable modern language.
• Experience building and operating cloud-native applications on AWS and/or GCP.
• Working knowledge of CI/CD, infrastructure as code, automated testing, security, and observability.
• Experience managing multiple concurrent engineering workstreams in a production environment.
• Demonstrated ability to select, lead, and maintain continuity across contract engineering teams.
• Strong communication skills, able to translate technical risk and trade-offs for nontechnical stakeholders, with sound judgment under strain and the ability to influence across teams and vendors without direct authority.
• Additional desired experience: Experience with MAM/PAM platforms, metadata management, transcoding, workflow orchestration, or archive systems; familiarity with broadcast or enterprise media asset management platforms; experience with large-scale content migration and enterprise system integration; experience supporting software platforms in a 24/7 broadcast, media, or other mission-critical environment.

Benefits

• Medical, dental, vision coverage.
• 401(k) plan.
• Life insurance coverage.
• Disability benefits.
• Tuition assistance program.
• Paid time off (PTO).
• Bonus