Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Lead design and development of AI/ML framework and inference software (ONNX, ONNX Runtime, Foundry Local). Provide technical leadership, mentor engineers, define requirements and design docs, drive performance, reliability, and observability improvements, act as DRI and participate in on-call operations, and collaborate across products to deliver scalable AI solutions.

Perform advanced threat hunting and deep analysis of attacker activity across on-premises and cloud environments, notify customers of imminent threats, build proof-of-concept hunting tools and automations, synthesize findings into mitigation recommendations, and drive product/tool improvements by transferring threat intelligence and investigation best practices to engineering and customer teams.

Lead global Channel Sales Rhythm of Business, run executive partner reviews (IAR/MBR/QBR), provide reporting and analysis for the CVP, standardize templates, drive sales execution transformation, enable partner GTM strategy, and oversee sales operations activities like quota, territory, and partner record management.

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.