Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads enterprise-scale data, AI, and cloud transformation initiatives for federal customers. Designs secure, compliant Azure architectures using generative AI, agentic systems, RAG, document intelligence, and workflow automation. Advises executives, leads architecture workshops, manages technical strategy and risk, supports pre-sales and account growth, and drives customer adoption and measurable value. Develops reusable intellectual property, reference architectures, evaluation frameworks, and accelerators while mentoring architects and technical teams.

Leads consultative cybersecurity solution sales for strategic customers, developing pipelines, identifying business opportunities, shaping security transformation strategies, and coordinating end-to-end deals with internal teams and partners. Engages business decision-makers, provides security expertise, analyzes competitors, supports forecasting and account planning, mentors colleagues, and drives customer adoption of cloud, AI, and security solutions.

Advise customers on Azure Cloud and AI transformation, lead technical and business solution engagements, and manage the full sales lifecycle. Drive pipeline growth, Azure consumption, marketplace transactions, customer expansion, and competitive positioning against AWS and Google Cloud. Lead cross-functional teams, develop business cases, conduct workshops and demonstrations, and guide customers from pilot to scaled production while advancing strategic cloud, data, AI, and Copilot adoption.

Leads consultative Cloud and AI solution sales for mid-market customers. Manages pipeline and forecasts, conducts technical engagements and demonstrations, develops business cases, scopes proofs of concept, collaborates with account executives, architects, engineers, and partners, and drives opportunities from initial engagement through commitment and cloud consumption.

Lead enterprise SAP cloud architecture engagements across SAP and Microsoft Azure. Advise customers and partners, design S/4HANA, RISE, BTP, hybrid cloud, data, and AI solutions, guide migrations and deployments, resolve technical blockers, and drive Azure adoption. Collaborate with SAP, system integrators, engineering, and field teams on co-sell strategies, reusable architectures, and innovation. Provide executive-level technical guidance, manage risks, mentor architects, and deliver measurable customer and business outcomes.

Drive technical pre-sales for Microsoft cloud database and analytics products by running demos, PoCs, hackathons, and architecture workshops. Design secure, scalable data architectures, resolve technical blockers, collaborate with engineering, and accelerate customer migrations to Azure Databases, Fabric, Databricks, Purview, and related platforms.

Lead product and program analytics for Microsoft skilling experiences: analyze learner journeys and funnels, define success metrics, build measurement frameworks, run experiments and causal analyses, surface opportunities to improve engagement and proficiency, shape telemetry and scalable reporting with engineering, develop competency and skill taxonomies, mentor data scientists, and ensure analyses meet privacy requirements.

Partner with sales leadership and cross-functional teams to monitor billed revenue, improve pipeline health, and drive sales execution for Microsoft Security (M365 E5). Deliver data-driven analytics, root-cause analysis, and executive storytelling; lead governance, cadence, and operational improvements to accelerate revenue growth and scale best practices across regions.

Lead and coordinate response to critical cyber incidents: triage vulnerabilities, make high-stakes remediation decisions, track incidents to resolution, produce executive updates and incident analysis, and advise customer notifications and security guidance.

Lead design and implementation of ONNX, ONNX Runtime, and on-device inference (Foundry Local). Provide technical leadership, write design documents, mentor engineers, own cross-product dependencies and release plans, act as DRI and on-call for reliability, and drive performance, observability, and operational consistency at scale.