Top Tech Jobs & Startup Jobs

Build and operate cloud services and data systems for Minecraft marketing campaign delivery, measurement, and ad attribution. Partner with marketing and analytics to create web tools, improve client services and pipelines, and ensure privacy-conscious, global-scale integrations across platforms.

Build, operate, and improve scalable data pipelines and platforms using Microsoft cloud technologies. Design transformations, models, and ETL/ELT for analytics; implement data quality, monitoring, CI/CD, and operational support; collaborate with stakeholders to translate requirements into reliable data products and resolve production incidents.

Lead and coach a team of Azure/Digital Specialists to drive cloud and AI solution sales, partner co-selling, pipeline growth, and customer digital transformation while meeting territory targets and operational metrics.

Advise insurance executives on AI-led transformation, originate and drive industry-focused opportunities, build multi-horizon roadmaps, align Microsoft cloud, data, AI, security and partner solutions to business outcomes, and lead strategic, cross-functional engagements to scale enterprise AI adoption.

Lead cross-functional technical programs to scale internal AI, automation, and platform solutions. Own operational continuity, manage backlogs, troubleshoot and validate releases, define MVPs, create runbooks and support models, enable adoption, and partner with builders and stakeholders to ensure secure, documented, and sustainable production readiness and continuous improvement.

Lead strategy and roadmap for Fabric Eventstream, prioritizing backend streaming hardening, interoperability with Kafka/Event Hubs, AI-assisted UX, and customer engagements from preview to GA. Partner with engineering, design, data science, and product marketing to drive adoption, telemetry-driven decisions, and go-to-market activities.

Manage global incentive compensation execution for sellers: approve payouts and adjustments, ensure data integrity and compliance, troubleshoot systems, produce reporting and insights, maintain operational playbooks, support integrations and change management, drive process simplification and operational efficiency, and communicate updates to stakeholders and leadership.

Serve as a Capital Markets industry advisor driving enterprise-scale AI and cloud transformation. Originate and shape strategic opportunities, engage executive stakeholders, develop multi-year roadmaps, and coordinate account teams and partners to scale AI use cases across front-, middle-, and back-office functions. Advise on data, security, governance, automation, digital assets, and regulatory considerations while creating business value cases and moving customers from pilots to governed, production AI systems.

Design, implement, and deliver agentic AI platform features across the full lifecycle to boost developer productivity. Advocate and dogfood AI-powered tooling, mentor engineers, experiment with agentic approaches, and collaborate with teams to scale robust, maintainable systems.

Design and implement algorithms, model architectures, data mixtures, and scaling laws for large-scale foundation model training. Run and oversee large distributed training experiments, collaborate with infrastructure, data, and multimodality teams, and apply rigorous, data-driven ablations to drive flagship training runs and system improvements.