Own and lead the AI Inferencing Automation & Tooling roadmap for Microsoft Cloud Operations + Innovation.
Compensation
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Own the AI Inferencing portfolio automation and tooling roadmap, including the vision, priorities, and sequencing for new tools, features, and AI-enabled capabilities.
Assess current processes, tools, and workflows to find gaps, manual effort, handoffs, and chances to apply automation or AI.
Build and drive a strategy to connect data across CO+I and partner organizations so we have a single source of truth, fewer reconciliation steps, and better decision-making.
Own intake and prioritization of new tool and feature requests. Use clear criteria to keep engineering resources focused on the projects with the highest business impact.
Define business and functional requirements, user stories, and success metrics, and turn operational needs into clear, actionable specifications for engineering partners.
Requirements
Bachelor's Degree
Nice to have: 8+ years experience engineering
Nice to have: 6+ years experience managing cross-functional projects
Nice to have: 1+ year(s) of experience reading and/or writing code
The Publisher Relationship Manager will be the primary point of contact for JobGet's publishing partners, owning the supply end to end. This role blends relationship management, commercial negotiation, and hands-on analysis to decide which publishers to grow, fix, or decline, while holding partners to performance standards.
Responsibilities
Serve as the day-to-day contact and issue-resolution owner for JobGet's publishing partners
Lead recurring reviews with priority publishers and set performance goals
Track growth and margin by publisher and push bid, content, and volume opportunities
Continuously evaluate the publisher ranking framework by client type
Proactively engage publishers to uncover new volume by country, vertical, or job category
The Publisher Relationship Manager will be the primary point of contact for JobGet's publishing partners, owning the supply end to end. This role blends relationship management, commercial negotiation, and hands-on analysis to grow, fix, or decline publishers while advocating for their success against JobGet's performance standards.
Responsibilities
Serve as the day-to-day contact and issue-resolution owner for JobGet's publishing partners
Lead recurring reviews with priority publishers and set performance goals
Track growth and margin by publisher and push bid, content, and volume opportunities
Continuously evaluate the publisher ranking framework by client type
Proactively engage publishers to uncover new volume by country, vertical, or job category
This position is a salary grade 8 and ranges from $115,00-$192,900.
Responsibilities
Collaborate with cross-functional teams, including Product Managers, Architects, DevOps, and QA, to design and develop a scalable microservices platform.
Develop clear, testable specifications, acceptance criteria, and architectural guidelines that enable AI coding agents to generate reliable code.
Leverage AI coding agents, reusable prompts, and repository conventions to streamline development workflows.
Establish quality controls for AI-generated code, including automated testing, security scanning, and static analysis.
Evaluate emerging AI tools and practices, including agentic workflows, MCP integrations, and evaluation frameworks
Requirements
Bachelor's degree in Computer Science or related field
AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation.
Responsibilities
Design, develop, test, deploy, and maintain scalable full stack applications and platform services.
Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support.
Develop and implement custom AI agents to support workflow automation, decision support, summarization, and multi-step reasoning capabilities.
Integrate AI services, large language models (LLMs), embeddings, search technologies, and external tools through secure and scalable APIs.
Build and maintain MCP-based integrations to enable structured communication between AI models, tools, and business systems.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
Nice to have: enterprise-scale distributed applications
Software Engineer contributing to design, development, deployment, and support of enterprise-grade applications and data solutions.
Responsibilities
Design, develop, test, and maintain scalable data-driven applications, APIs, and integration solutions using modern software engineering practices.
Build and support applications utilizing relational, NoSQL, and graph databases while ensuring high performance, reliability, and scalability.
Develop and deploy cloud-based solutions using platforms such as Azure and AWS, implementing containerization and distributed builds.
Collaborate with multi-functional teams to develop and implement Generative AI, Agent, and AI-Enabled applications applying concepts such as RAG and Agentic AI solutions.
Participate in software lifecycle activities including version control, code reviews, deployment automation, troubleshooting, and continuous improvement.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
Nice to have: Generative AI
Nice to have: Large Language Models (LLMs)
Nice to have: Retrieval-Augmented Generation (RAG)
Liderar la construcción de servicios backend que calculan indicadores de nivel de servicio y detectan anomalías durante los despliegues, contribuyendo a prevenir incidentes y proteger la salud de las aplicaciones.
Responsibilities
Diseñar, desarrollar y operar servicios backend que calculen indicadores de nivel de servicio y permitan evaluar la salud de las aplicaciones
Construir y optimizar flujos de datos de métricas, asegurando su calidad, disponibilidad y eficiencia, e integrar capacidades de configuración y análisis de SLOs con herramientas de observabilidad
Evolucionar la detección de anomalías durante los despliegues mediante señales y recomendaciones que permitan decidir acciones de mitigación y reversión de cambios
Liderar decisiones de diseño técnico, diagnosticar problemas en producción y coordinar mejoras de confiabilidad con otros equipos
Actively drive revenue growth and advertiser success across the global platform by transforming massive behavioral datasets into scalable growth strategies, rigorous incrementality frameworks, and high-impact client insights.
Responsibilities
Own the analytical strategy for campaign optimization and advertiser growth
Design, execute, and evaluate advanced measurement and experimentation methodologies (A/B testing, incrementality/lift studies, causal inference)
Partner directly with top-tier advertisers and internal commercial leads on complex, high-stakes performance challenges
Translate market trends, advertiser needs, and campaign performance learnings into concrete recommendations that directly shape Smadex’s Product and Machine Learning roadmaps
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