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Leads managers of solution sales and solution engineering teams supporting enterprise Cloud and AI customers. Responsibilities include recruiting and developing talent, driving complex technical sales opportunities, coaching executive engagements, improving pipeline conversion and forecasting, aligning resources, and executing sales strategies across Azure, AI, data, analytics, application platforms, and infrastructure.

Build and maintain large-scale infrastructure for multimodal generative AI, including data processing, model pretraining, post-training, inference, and serving frameworks. Collaborate with research scientists and product engineers to resolve infrastructure challenges, optimize distributed CPU/GPU workloads, influence software and hardware architecture, and accelerate AI product delivery. The role also involves multimodal data processing, distributed training and inference, model evaluation, reinforcement learning, quantization, and technical project leadership.

Serve as a strategic operator and advisor to Windows sales leadership, translating strategy into execution, improving forecast accuracy and pipeline hygiene, leading Rhythm of Business, leveraging analytics/AI to generate insights, driving change and sales process optimization, and partnering cross-functionally to improve accountability and business performance.

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.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.

Lead AI and security strategy with enterprise customers, drive Microsoft business growth and partner co-sell, influence technical teams on architecture and migration, deliver industry briefings, enable customer readiness, and act as a trusted technology advisor to achieve business outcomes and account growth.

Lead consultative sales engagements to drive adoption and scaling of AI Workforce solutions (M365 Copilot, Copilot Studio, Copilot Chat, Agents, ME3/ME5, Frontline Worker). Orchestrate virtual teams, develop stakeholder strategies, identify and pursue opportunities, present technical value propositions, and collaborate with internal teams and partners to cross-sell and deliver end-to-end AI workforce transformations.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Customer-facing Cloud Solution Architect focused on AI business process solutions (Dynamics 365, Power Platform, Copilot Studio). Guide architecture, proofs-of-concept, migrations from legacy systems, drive adoption, resolve technical blockers, and collaborate with partners and Microsoft teams to optimize performance, cost, and operational health.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.