Top Tech Jobs & Startup Jobs

Manages facilities-related business programs, data governance, reporting, and process improvement. Translates operational needs into business, system, data, and reporting requirements; partners with engineering and data teams to automate workflows, standardize metrics, improve data quality, and deliver cross-functional initiatives. Establishes KPIs, SLAs, OKRs, and executive reporting while communicating risks, dependencies, and recommendations to stakeholders.

Own the vision, strategy, roadmap, and end-to-end experience for Microsoft's Commercial Intelligence platform. Lead business planning, product requirements, AI-powered experiences using RAG and agent capabilities, stakeholder alignment, investment decisions, launches, adoption, and continuous improvement. Partner with Engineering, Legal, Finance, Marketing, Sales, and commercial teams to establish quality, governance, privacy, security, and responsible AI standards. Mentor team members and drive complex initiatives independently through influence in an ambiguous enterprise environment.

Leads payment fraud risk operations by analyzing transactions and customer signals, making risk-based decisions, identifying emerging fraud patterns, and improving controls, models, workflows, and remediation. Partners with Engineering, Data Science, Customer Support, and Operations on incident resolution, root-cause analysis, KPI management, process improvement, governance, training, and scalable fraud-prevention strategies.

Build and deploy AI agents, workflow automations, and full-stack enterprise solutions using Microsoft Power Platform, Azure AI, Microsoft 365, GitHub, and code. Partner with business stakeholders to redesign processes, translate ambiguity into products, prototype rapidly, and manage solutions through launch, adoption, support, and iteration. Measure business impact while applying security, privacy, responsible AI, testing, monitoring, and lifecycle-management practices. Collaborate globally, create reusable technical patterns, and mentor peers.

Own the technology strategy and roadmap for a major financial services account. Advise C-suite leaders on Azure, AI, data, security, cloud modernization, and digital transformation. Identify strategic opportunities, orchestrate Microsoft engineering and partner teams, influence technology decisions, and drive Azure adoption, workload modernization, consumption, and measurable business outcomes. Build executive relationships and connect customer priorities with Microsoft’s product and innovation roadmap.

Leads Windows Commercial Acceleration Engine’s customer and ecosystem insights motion. Owns engagement coverage, signal sources, learning loops, and mechanisms for capturing qualitative and quantitative feedback. Connects fragmented customer, partner, field, community, event, telemetry, and support signals into evidence-backed hypotheses. Maintains an insight backlog, identifies risks and opportunities, and briefs senior leaders on signal strength, confidence, and evidence gaps to support decision-making.

Leads the commercial development of Microsoft for Startups’ financial services portfolio, including financial services, cybersecurity, and AI startups. Develops industry investment strategy, creates enterprise customer pipeline, drives co-sell and Marketplace opportunities, coaches founders on go-to-market execution, transitions mature startups to managed sales coverage, and builds relationships across venture capital, partners, customers, and industry ecosystems.

Lead BIOS/UEFI firmware development for Azure hardware: define requirements, manage feature delivery and NPI for new hardware SKUs, partner with silicon vendors/ODMs/OEMs, drive security vulnerability resolution, and standardize firmware processes across the fleet.

Build and deploy AI-powered agents, automations, applications, and workflow solutions for Microsoft business teams. Translate ambiguous needs into prototypes and production systems using Power Platform, Microsoft 365, GitHub, Azure AI, APIs, and full-stack technologies. Lead stakeholder discovery, process redesign, testing, deployment, adoption, lifecycle management, responsible AI practices, and outcome measurement while collaborating across global technical and business teams.

Develop Windows Compatibility tools, automation frameworks, infrastructure, and AI-powered solutions to identify regressions, validate applications, investigate compatibility issues, and improve Windows experiences. The role involves scalable software design, test automation, root cause analysis, collaboration with Microsoft teams and partners, and modernizing engineering tools across Windows, operating systems, and cloud platforms.