Technical Leader

Contract Type: Full-timeYears of Experience Required: 10+ yearsEnglish Level: 100% (written, spoken, and reading)Work Modality: HybridHyphaMetrics is an AI-powered media intelligence company redefining how the world understands audience behavior. Our technology unifies viewing across streaming, linear TV, social video, and gaming to deliver the industry’s first person-level, cross-platform metric. We partner with leading networks, brands, and measurement platforms to unlock transparent, privacy-first insights that fuel the future of media.We’re a team of builders, scientists, and innovators who believe that data can — and should — tell a more human story. If you thrive in fast-moving environments, crave impact, and love shaping what’s next, you’ll feel right at home at HyphaMetrics.Position OverviewReporting to our CTO, the Technical Leader guides the technical direction of projects and ensures successful delivery of high-quality software solutions. This role oversees Machine Learning, DevOps, Frontend, and Backend teams, reporting directly to the Director of Engineering and CTO.The main objectives of the Technical Leader are to drive the vision, design, strategy, and implementation of integrated measurement systems that support business objectives; lead development teams and collaborate with other departments to implement new systems and continuous process improvements; stay updated with new technologies and identify the right frameworks for software under development; promote the best organizational patterns and practices; balance software quality with development speed; ensure platform stability, systems architecture quality, and maintain technological stability of the media measurement panel.Duties and ResponsibilitiesThe Technical Leader is responsible for leading the organization's technical direction, overseeing multiple engineering teams and ensuring strategic alignment between business objectives and technological solutions. This role requires balancing responsibilities in technical leadership, project management, cross-departmental collaboration, continuous improvement, and operational stability.The time distribution across main responsibility areas is as follows: 20% in Planning, 20% in reporting and communication, 20% in Process improvement, 20% in Project management, and 20% in proposing new initiatives.Specific ResponsibilitiesTechnical Leadership and Development Oversee the development of AI and ML models for video classification, internet traffic processing, and user identification within households Lead the engineering team in creating and maintaining scalable data processing systems and analytics platforms Manage the development and maintenance of APIs and dashboard tools for clients Direct hardware and data product development initiatives Develop a deep understanding of the company's current technological solutions,including how they are built, implemented, maintained, and deployed across different environmentsPlanning and Project Management Plan future projects, estimating resources and timelines Report on the status of ongoing projects in PTP meetings and standups Conduct Scrum ceremonies across the technical team Coordinate strategies and process optimization for the Metalibrary team Work with IT teams to provide and maintain solution development roadmaps with clearobjectives, goals, and delivery dates Perform constant supervision of IT teams to ensure delivery dates are met and address any blockers that prevent successful deliveryCollaboration and Communication Collaborate with cross-functional teams to align engineering efforts with business objectives Partner with Product and Panel leaders to define and deliver the company's project roadmap Report directly to the CTO regularly on progress, current state of technology, and roadmap status Report to the executive team when required Act as technical liaison between United States and Mexico teams Coordinate demos for stakeholdersContinuous Improvement and Strategy Focus on continuously developing and improving the user experience (UX) for research panelists and client users of data and systems Develop and implement engineering strategies to improve product performance and efficiency Identify key roles and positions within the current team Measure the improvement of each new feature, project, and initiative and present results Propose new initiatives aligned with company objectives Establish engineering strategies and processes to meet business objectives and operational needs in terms of quality and delivery goals Take ownership of engineering policies, guidelines, and associated documentsOperations and Stability Perform financial scenario planning for technology and personnel needs Maintain panel stability (hardware and software) and ensure data production/delivery to clients Ensure systems are properly backed up to minimize downtime and participate in buildingDisaster Recovery/Business Continuity Plans Ensure cybersecurity policies are implemented at the highest level to protect company data and personally identifiable information of panelistsQualificationsRequired Experience and Education University degree in Computer Science, Software Engineering, or related field 10+ years of experience in senior technical roles 5+ years of experience as a technical leader or similar role in software development Strong technical experience in software development, including proficiency in programming languages, frameworks, and technologies Experience managing teams of developers, DevOps engineers, technical support engineers, and data specialists Experience with agile project management and software development methodologies (including SCRUM) Experience with cloud technologies and architectures (AWS, Azure, Google Cloud), including multi-cloud infrastructure environments Experience with successful development, deployment, and production configuration of high-traffic and multi-user systems. Candidate will be asked to demonstrate systems built under their supervision Experience with hardware manipulation, software configuration and installation, including distributed hardware systems and remote management tools Knowledge of database administration, systems architecture and design, and network administration Extensive experience in ad tech, data science, or related fields Strong background in AI/ML engineering, particularly in video and data classification Proven track record in managing large-scale data processing and analytics systemsRequired Technical Skills Fast learner: the candidate must be able to quickly learn how a media measurement panel works, how current technologies perform measurement, and how our new technological approach works Complete understanding of internal IT roles such as: Android Development, iOSDevelopment, DevOps, Machine Learning, Data Pipelines Strong leadership and teamwork skills Previous and/or current software programming skills and deep understanding of the software development lifecycle Cloud computing management (multi-cloud environments). Certification desired Big data manipulation (relational and non-relational databases) and advanced management of Business Intelligence tools Understanding of Machine Learning and Computer Vision, neural networks, model training, and ML applications for mobile platforms Management of source code repositories on different platforms (GitHub, Bitbucket, etc.) Application of SCRUM methodology and tool management (JIRA) Use of monitoring tools to supervise uptime, availability, and health conditions of remote hardware Understanding of system user interface guidelines Development and implementation of AI/ML models Large-scale data processing and analysis API design and management Product development lifecycle management Team leadership and mentoring Strategic planning and executionDesired Technical SkillsIt is rare for someone to know all these technologies, but at least competency in one or two would be excellent: Google Cloud Platform Snowflake MongoDB JavaScript Python Node.js Mobile development (iOS/Android) Familiarity with technology patentsCore CompetenciesProfessional Competencies Excellent leadership and communication skills, with the ability to motivate teams Detail-oriented with strong problem-solving and analytical skills Ability to thrive in a dynamic, fast-paced environment and manage multiple priorities Strong understanding of data privacy and security best practices Solid command of English and Spanish (100% in both languages) Both technical and business-oriented approachDaily Tools and Methodologies JIRA or Smartsuite for project management Slack for team communication Scrum methodology Analytics tools General knowledge in web development and/or artificial intelligence development Data visualization tools and dashboards for client reporting