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 technologyArchitecting a solution that brings together telemetry and data from multiple platforms and systemsCollaborating with multiple teams to solve complex technical challengesBuilding a new team and helping shape its technical directionWorking on automation, AI, and self-healing capabilitiesBeing part of a dynamic and innovative team environmentWhat type of experience does the right candidate have:Proven experience with observability, monitoring, and telemetry toolsStrong architecture and technical leadership backgroundExperience integrating or consolidating disparate platforms, systems, or data sourcesStrong understanding of data architecture, data harmonization, and distributed systemsHands-on engineering experience and willingness to remain technically involvedExperience with automation, AI, or self-healing operational capabilitiesExperience in media or streaming industries is a plus, but NOT requiredStaff, Principal, Distinguished Engineer, Architect, or highly technical Engineering Manager backgrounds could be strong fitsWhat the responsibilities are of the right candidate:Lead the consolidation of telemetry systems across teamsArchitect and help build a unified platform for video operations, monitoring, and KPI analysisDetermine the appropriate data points and telemetry to pull from underlying component systemsStructure and harmonize data from multiple sources to support automation and AIImplement AI-driven automation and self-healing capabilities for enhanced operational efficiencyWork closely with SSAI, player, CDM, and other engineering teams to integrate their systems and telemetryDrive deeper root-cause analysis beyond surface-level alertsLead and develop a newly formed team, potentially including offshore supportParticipate in hiring and help define the technical capabilities of the new teamCommunicate effectively with technical and business stakeholders to achieve project goals