Top Tech Jobs & Startup Jobs

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.

Design, build, integrate, and operate cryogenic quantum hardware experiments. Maintain dilution refrigerators, cryogenic/vacuum systems, RF/microwave control and readout chains, and low-noise measurement infrastructure. Develop automation, scripts, and workflows for data acquisition, experiment control, and analysis. Partner with scientists, engineers, vendors, and program teams to integrate devices and ensure lab readiness, safety, compliance, and documentation.

Lead operational demand strategy and roadmap to improve Azure stability, reliability, and supportability. Influence cross-organizational product investments, drive AI-first automation (agents/copilots/LLMs), define success metrics, apply systems thinking to scale solutions, and deliver measurable customer and engineering outcomes while fostering inclusive leadership and continuous improvement.

Lead architecture and delivery of scalable control-plane services for Azure Storage to support AI-scale workloads. Drive distributed-systems design, intelligent automation, and AI-assisted engineering practices. Own system reliability, performance, and incident response while partnering across teams to shape long-term platform strategy.

Lead product strategy and roadmap for AI-driven content experiences across Edge, Windows, Copilot and partner surfaces. Build scalable trust-and-safety systems, define policies for compliance and risk, partner with policy, engineering, data science, legal and operations, and drive cross-functional execution and metrics to reduce harm and maintain content quality at scale.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

Own execution strategy for Azure capacity management across Foundry Agent Platform: translate demand into forecasts and plans, drive cross-functional delivery, define success metrics, mitigate risks, establish operating rhythms and dashboards, and mentor senior TPMs to ensure alignment of engineering, product, and infrastructure leadership.

Lead and define organization-wide Responsible AI, evaluation, and model-governance standards. Orchestrate cross-organization AI initiatives, influence engineering and executive stakeholders on architecture and roadmap, oversee end-to-end delivery, and mentor other program managers to drive strategic AI program outcomes and safety requirements.

Build and maintain observability and monitoring software for Azure Monitor, implement automation for alerting and diagnostics, use telemetry and debugging tools to investigate incidents, contribute AI-assisted workflows, participate in on-call rotations and reliability improvements, and follow team standards for secure, testable, maintainable code.

Lead an advanced prototyping center to translate concepts into visual models and physical prototypes. Manage multiple projects, budgets, suppliers, and lab resources; drive innovation, establish best practices and security standards, mentor and grow a multidisciplinary team, and partner with senior leaders to set strategy and operational plans.