Top Tech Jobs & Startup Jobs

Provide technical and strategic counsel to the CEO of Microsoft AI. Engage with research teams across pre-/post-training, multimodal systems, infrastructure, and safety. Prototype and evaluate models and infrastructure, analyze technical tradeoffs, synthesize executive-level recommendations, drive critical initiatives, and ensure alignment between leadership and research teams.

Build and scale developer-facing product infrastructure for Microsoft Security: developer tooling, build pipelines, validation workflows, telemetry and incident data. Integrate AI across coding, testing, deployment, and operations to automate workflows, improve engineering velocity, reliability, and adoption of shared platforms while meeting security and compliance requirements.

Manage Premier customers' critical incidents (CritSit), coordinate internal and external resources, lead crisis response and after-hours support, identify systemic issues, drive process/tool improvements, and provide reporting to improve customer outcomes.

Design and scale AI-first developer platforms and engineering systems to improve productivity, observability, build/validation, experimentation, and secure compliant workflows across Microsoft Security. Modernize tooling into reusable, measurable platforms and influence adoption across teams.

Drive global supply positioning and inventory strategies across product lifecycles to meet cost, working capital, and service goals. Own supply plan of record, manage forward/reverse inventory, partner with Finance and cross-functional teams, set policies, track metrics, and implement processes to improve predictability, reliability, and profitability.

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.

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 regional datacenter projects delivering core infrastructure. Plan and manage end-to-end project plans, collaborate with engineering and vendors, ensure safety, security, compliance, and operational parity, identify risks, improve processes, and present findings to stakeholders.

Lead cross-functional programs to improve knowledge asset quality, discoverability, governance, and lifecycle. Define requirements and technical specs, analyze data, manage risks and dependencies, drive AI/automation opportunities, and coordinate delivery across engineering, data, and business stakeholders.

Microsoft Product Manager Interns define product vision and roadmap, identify customer needs and market opportunities, set OKRs and success metrics, collaborate with design and engineering, iterate on features, enable in-product growth, gather customer feedback, and report insights to drive product development and releases.