Engineering Manager

Optomi, in partnership with a leading media technology company, is looking for an Engineering Manager to spearhead a critical project.

Position Summary: The Engineering Manager will lead an initiative to consolidate disparate telemetry systems into a unified platform, enhancing automation, root-cause analysis, and self-healing capabilities with AI. This role involves interfacing with various teams, including SSAI, player, and CDM teams, to streamline video operations and KPI analysis. The successful candidate will be a highly technical leader — part architect, part developer, and part engineering manager — who can work across multiple teams and systems to drive innovation in video engineering.

What the right candidate will enjoy:

Leading a high-impact project at the intersection of media, data, architecture, AI, and technology

Architecting a solution that brings together telemetry and data from multiple platforms and systems

Collaborating with multiple teams to solve complex technical challenges

Building a new team and helping shape its technical direction

Working on automation, AI, and self-healing capabilities

Being part of a dynamic and innovative team environment

What type of experience does the right candidate have:

Proven experience with observability, monitoring, and telemetry tools

Strong architecture and technical leadership background

Experience integrating or consolidating disparate platforms, systems, or data sources

Strong understanding of data architecture, data harmonization, and distributed systems

Hands-on engineering experience and willingness to remain technically involved

Experience with automation, AI, or self-healing operational capabilities

Experience in media or streaming industries is a plus, but NOT required

Staff, Principal, Distinguished Engineer, Architect, or highly technical Engineering Manager backgrounds could be strong fits

What the responsibilities are of the right candidate:

Lead the consolidation of telemetry systems across teams

Architect and help build a unified platform for video operations, monitoring, and KPI analysis

Determine the appropriate data points and telemetry to pull from underlying component systems

Structure and harmonize data from multiple sources to support automation and AI

Implement AI-driven automation and self-healing capabilities for enhanced operational efficiency

Work closely with SSAI, player, CDM, and other engineering teams to integrate their systems and telemetry

Drive deeper root-cause analysis beyond surface-level alerts

Lead and develop a newly formed team, potentially including offshore support

Participate in hiring and help define the technical capabilities of the new team

Communicate effectively with technical and business stakeholders to achieve project goals