Top Tech Jobs & Startup Jobs

Drives executive engagement, customer and partner communications, event support, and program analysis for Microsoft Professional Services. Prepares executives for high-impact meetings, coordinates major field events, tracks engagement KPIs, drafts communications, evaluates initiatives, and identifies opportunities to improve workflows using Copilot and AI agents.

Manages a portfolio of education customers across the full sales lifecycle, including renewals, expansion, pipeline creation, executive engagement, partner co-selling, and AI-led transformation. Builds trusted relationships with education leaders, coordinates internal specialists and partners, develops strategic account plans, drives Microsoft solution adoption, forecasts revenue, manages customer satisfaction, and identifies opportunities across cloud, security, data, AI, and productivity technologies.

Lead memory subsystem and complex SoC design from architecture and microarchitecture through silicon bring-up. Develop and integrate RTL, optimize performance, power, bandwidth, and latency, and collaborate across verification, physical design, DFT, firmware, and post-silicon teams. Provide technical leadership, mentor engineers, drive IP reuse, debug system issues, and ensure design-quality closure using simulation, emulation, synthesis, timing, lint, CDC, and RDC processes.

Designs and develops secure, scalable cloud services and enterprise data platforms for Microsoft Dataverse. Responsibilities include building microservices, data pipelines, deployment and monitoring automation, observability, resiliency improvements, production support, and live-site operations. The role also contributes to agentic AI capabilities, code reviews, technical direction, and cross-functional delivery.

Designs and guides secure, resilient, cost-effective cloud and AI solutions for Swedish customers. Partners with technical, business, executive, and partner stakeholders to translate requirements into scalable architectures, drive Microsoft 365 and Copilot adoption, remove delivery blockers, identify growth opportunities, and deliver measurable business value. Provides technical leadership, customer advisory, mentoring, reusable assets, and thought leadership.

Lead design, implementation, and operationalization of Microsoft security solutions across identity, endpoint, cloud, data, and SOC domains for mission‑sensitive federal environments. Serve as technical advisor, integrate Microsoft Zero Trust stack with compliance frameworks, mentor consultants, and contribute reusable architectures, playbooks, and delivery accelerators.

Builds scalable AI infrastructure and Copilot capabilities for Microsoft 365 using large language models and distributed systems. Responsibilities include leading architecture and design, developing and deploying reliable software, mentoring engineers, translating product vision into milestones, monitoring production systems, resolving incidents, and incorporating stakeholder feedback. The role requires strong software engineering judgment, technical strategy leadership, and experience delivering secure, performant, cloud-scale AI products or platforms.

Develop and scale growth strategies for Microsoft.com customer journeys through analytics, customer insights, experimentation, personalization, and cross-functional execution. Identify growth opportunities, formulate hypotheses, recommend journey improvements, measure impact, and apply proven approaches across businesses to improve engagement, conversion, lead generation, pipeline influence, and revenue.

Lead design and delivery of scalable, low-latency ML systems for ads fraud detection. Build anomaly detection and cross-signal correlation models, operationalize production pipelines, run rigorous experiments and monitoring, mentor scientists, and coordinate across engineering, security, ads, and privacy teams to ensure reliable, cost-efficient detection at web scale.

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.