Top Tech Jobs & Startup Jobs in Austin, TX

Lead architecture, development, and delivery of Azure SmartNIC and networking software, including RDMA, virtualization, hardware offloads, and high-performance networking. Collaborate across hardware, firmware, silicon, and cloud teams; improve reliability and performance using telemetry; guide platform strategy; troubleshoot production systems; and provide technical leadership through design reviews, mentoring, and incident response.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Design, implement, and optimize low-level software for Azure HPC/AI VMs. Diagnose HW/SW integration and performance issues, drive cross-team solutions, maintain service stability, and develop operational playbooks.

Leads complex commercial sales and negotiation activities for strategic accounts, driving revenue, cloud adoption, renewals, upsells, and partner growth. Develops commercial and account plans, structures proposals and contracts, negotiates terms, manages pricing and deal execution, and coordinates cross-functional sales teams. Ensures compliance with company policies, regulatory requirements, and ethical selling standards while assessing contractual, profitability, legal, and channel risks. Coaches sales teams and uses AI-enabled analysis to improve opportunity planning and deal outcomes.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Leads Microsoft's Global Business Operations team, overseeing executive operating rhythms, portfolio governance, cross-functional alignment, performance insights, and strategic execution. Establishes scalable operating models, drives AI-enabled process automation, communicates business impact to senior stakeholders, and ensures decisions translate into measurable outcomes. Manages, coaches, and develops a high-performing strategic operations team while improving cadence efficiency, accountability, and organizational adoption.

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Lead definition of system and silicon architecture for Windows devices, translating workloads and product goals into SoC/system requirements. Drive silicon roadmaps, co-design across hardware and software teams, build workload/system models, define KPIs/tradeoffs (compute, memory, power, thermal, security), and align partners and engineering teams from early definition through silicon and product execution.

Lead technical pre-sales for enterprise AI applications: run demos, PoCs, hackathons, and architecture workshops. Design secure, scalable cloud-native AI solutions, resolve technical blockers, and advise customers on AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate adoption and deployment.