Top Tech Jobs & Startup Jobs

Lead ML-focused silicon architecture: explore algorithms/architectures for AI accelerators, build bit-accurate C-models and test platforms, drive architecture exploration, and collaborate with hardware/software teams to support design, DV, emulation, and kernel development through the silicon cycle.

Lead talent management strategy for Microsoft CoreAI: design governance, succession, leadership development, and AI-enabled talent diagnostics. Advise executives, set decision frameworks, drive program architecture and change, and ensure integration across HR, Learning, and OD to build leadership bench strength and scale technical capability globally.

Lead pre-silicon verification for AI/SoC IP and subsystems. Develop and run constrained-random tests, UVM components, assertions, scoreboards, and checkers. Collaborate with architects/designers, debug RTL, mentor engineers, and follow agile practices to achieve verification coverage and silicon readiness.

Lead FP&A for M365 and Copilot engineering: build financial models, analyze resource allocation and workforce planning, monitor portfolio health, drive investment decisions, and modernize finance processes using AI, advanced analytics, and automation while partnering with engineering leaders.

Lead product marketing for AI Business Solutions: define launch and integrated campaign strategies across channels, drive brand and advertising, own release playbooks and marketing calendar, measure and optimize performance, partner cross-functionally on channel strategy, and coach a team of product marketers to drive awareness, adoption and revenue.

Lead end-to-end technical and product due diligence for acquisitions; direct large cross-functional teams; operationalize AI-first diligence; assess technical risk and business impact; develop integration/separation plans; ensure secure transfer and onboarding; produce executive-ready insights and playbooks to scale repeatable integration practices.

Design, architect, and operate Dataverse services in air-gapped, hyperscale environments. Lead architecture, collaborate with partner teams for scalability and live-site readiness, drive automation for zero-touch deployments, use AI tools to improve engineering productivity, and act as DRI for monitoring, incidents, and postmortems.

Lead research and translate methods into production for web-scale data and LLM training. Drive design, develop and deploy algorithms, mentor researchers, collaborate across teams, and shape platform direction for Bing and Microsoft AI.

Lead development and delivery of physical design tool flows, methodologies, and sign-off for block, sub-chip, and full-chip levels of Microsoft Next‑Gen AI SoC. Responsibilities include PnR convergence, STA and timing ECOs, PV and FEV sign-off, global clocking, EM/IR analysis, IP collateral validation, design reviews, and mentoring junior engineers.

Lead and coach a team of Customer Success Account Managers to drive cloud adoption, customer health, and expansion. Own executive customer relationships, manage delivery programs and risks, develop strategic roadmaps and Customer Success Plans, run delivery rhythms, and enable team development to maximize retention, growth, and value realization.