Top Tech Jobs & Startup Jobs

Define strategy, customer scenarios, requirements, and roadmap for Microsoft IQ within Microsoft Fabric. Partner with engineering, design, research, customers, and Microsoft product teams to deliver AI-enabled data and knowledge experiences. Own product metrics, validate market needs, prioritize improvements, and guide products from definition through launch and continuous optimization.

Drive AI-enabled Business Continuity and Disaster Recovery solutions for Microsoft's customer support ecosystem. Define BCDR requirements, develop roadmaps and playbooks, coordinate business and engineering teams, manage schedules and risks, conduct outage drills and user acceptance testing, and measure solution performance through KPIs, OKRs, and customer feedback.

Customer-embedded principal data scientist who leads technical delivery for strategic accounts, builds production-grade solutions, translates business needs into technical approaches, influences senior stakeholders, and transitions work to FDE teams while operating in ambiguous, fast-paced environments.

Leads a retail and consumer goods solution sales enablement team, developing AI transformation strategies, repeatable sales motions, business-value patterns, playbooks, and executive narratives. Partners with sales, marketing, engineering, advisors, studios, and external partners to scale successful customer outcomes, accelerate strategic deals, and improve field readiness. Responsibilities include people leadership, market strategy, opportunity prioritization, customer pursuits, thought leadership, and translating delivery lessons into scalable commercial and technical approaches.

Design, implement, test, deploy, maintain, and improve scalable microservices and software components. Lead delivery of complex features, code reviews, internal tools, and collaborate with PMs, architects, and designers to build AI-enabled products.

Lead end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develop offensive tooling, implants, and tradecraft; direct AI-driven autonomous agents; discover and exploit vulnerabilities; brief executive customers; provide defensive guidance; collaborate with threat intelligence and blue teams; establish operational standards; and mentor security operators.

Leads a Process Management team overseeing quote-to-cash process stewardship, architecture, governance, portfolio prioritization, continuous improvement, automation, compliance, and change management. Translates business priorities into measurable programs, roadmaps, controls, and outcomes while partnering across engineering, finance, operations, and field teams. Manages and develops employees, drives customer experience improvements, assesses risks, allocates resources, and supports global digital transformation initiatives.

Architect and deliver cloud-scale data integration products for Microsoft Fabric, owning end-to-end design, runtime, monitoring, reliability, security, and deployment. Mentor engineers, drive engineering excellence, integrate AI tooling, lead incident response as a DRI, and collaborate across Fabric, Azure Data Factory, and Power Query teams to meet scalability and resiliency goals.

Leads experimentation and optimization for Microsoft.com Commercial Cloud customer journeys. Partners with marketing, UX, analytics, development, product marketing, and vendors to identify growth opportunities, design and launch tests, analyze results, and scale improvements that increase engagement, conversion, lead generation, pipeline influence, and revenue.

Lead end-to-end datacenter build programs from design and planning through construction, commissioning, and operational handoff. Coordinate engineering, construction, networking, operations, finance, and executive stakeholders across concurrent global programs. Establish roadmaps, schedules, operating models, metrics, and risk mitigation plans while improving delivery through automation and data-driven insights. Manage scope, budget, quality, compliance, dependencies, and stakeholder communications for large-scale cloud infrastructure investments.