Senior Engineering Manager, Core Media & Intelligence
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager, Core Media & Intelligence in the United States.
This is a high-impact leadership role at the forefront of building next-generation AI-powered media and intelligence experiences at scale. You will lead a large engineering organization responsible for designing and shipping intelligent, end-to-end product experiences that deeply understand user workflows and unlock new ways of working with content. Operating in a fast-paced, virtual-first environment, you will guide teams working on applied AI, including LLMs, retrieval systems, autonomous agents, and contextual intelligence capabilities. This role blends strategic leadership with hands-on technical influence, requiring strong execution focus and the ability to navigate ambiguity. You will partner closely with product, engineering, and cross-functional leaders to shape roadmaps, drive delivery, and define long-term technical direction. The environment is highly collaborative, innovation-driven, and focused on building category-defining AI systems used by hundreds of millions of users globally.
In this role, you will lead a large engineering organization and ensure successful execution of high-visibility initiatives while shaping the technical and product direction of AI-powered platforms. You will be accountable for balancing delivery, innovation, and operational excellence while building a strong engineering culture.
- Manage and grow a team of 12–20 engineers, ensuring strong performance, engagement, and career development
- Partner with product management to define roadmaps, prioritize initiatives, and execute sprint planning
- Drive end-to-end delivery of critical AI and platform initiatives with high quality and predictable execution
- Set technical direction in collaboration with senior engineers and ensure strong engineering design standards
- Lead Agile ceremonies and ensure disciplined execution across backlog management, stand-ups, and retrospectives
- Make strategic tradeoffs between feature delivery, technical debt, scalability, and long-term system health
- Oversee cross-functional initiatives spanning product, engineering, and infrastructure teams
- Ensure strong operational excellence, including reliability, observability, and production stability
- Conduct regular career development conversations and build strong leadership pipelines within the team
Requirements:
The ideal candidate brings deep engineering leadership experience combined with strong technical expertise in AI-driven systems and platform-scale environments. You are comfortable leading large teams, managing managers, and driving execution in complex, fast-moving organizations.
- 8+ years of engineering management experience, including leading teams of 20+ and managing managers
- 10+ years of software engineering or equivalent technical experience in backend or platform systems
- Proven experience building or integrating AI products, including LLM-based or machine learning systems
- Background in platform teams or developer-facing APIs with internal and external consumers
- Strong understanding of Agile delivery practices and software development lifecycle management
- Experience with AI agent systems, model serving, inference pipelines, or distributed AI infrastructure preferred
- Strong systems design expertise, including scalability, fault tolerance, and observability in distributed systems
- Ability to evaluate AI models and make build-vs-buy decisions in production environments
- Excellent leadership, communication, and stakeholder management skills
- Results-oriented mindset with strong ability to balance speed of execution and long-term architecture quality
Benefits:
- Competitive compensation aligned with senior engineering leadership roles in the US market (up to $335,800 USD depending on region)
- Comprehensive health, dental, and vision insurance
- Equity or long-term incentive opportunities (where applicable)
- Remote-first, virtual-friendly work environment
- Flexible work culture supporting autonomy and impact
- Strong learning and development support for leadership and technical growth
- Opportunity to work on cutting-edge AI products at global scale
- Inclusive and collaborative engineering culture focused on innovation and ownership
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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