Top Tech Jobs & Startup Jobs in Seattle, WA

Leads business operations for Cisco’s Americas Hyperscale and AI Sales organization. Responsibilities include cross-functional planning, large-deal approval, go-to-market strategy, lifecycle optimization, market and portfolio planning, account penetration, change management, and technical program management. Partners with executive leadership, Finance, Legal, Supply Chain, Business Units, and strategic enterprise customers to accelerate deal execution and support long-term growth.

Own strategic product outcomes for Cisco Cloud Control Studio, a platform for enterprise AI agents and applications. Responsibilities include defining lifecycle defaults, managing multi-tenant isolation, identity, authorization, persistent state, and observability, sequencing platform milestones, prototyping solutions, and aligning engineering, security, architecture, and go-to-market stakeholders. The role requires product strategy and roadmap leadership for enterprise cloud platforms, developer ecosystems, or multi-tenant SaaS environments.

Build scalable data and ML systems for LLM training, post-training, evaluation, and continuous improvement. Responsibilities include creating data pipelines, human-in-the-loop labeling workflows, synthetic datasets, quality metrics, and automated evaluation systems. The role applies LLMs and machine learning to data generation and validation, processes large-scale structured and unstructured data, translates research into production systems, and provides technical leadership and mentorship.

Drive enterprise software revenue by prospecting, closing, and expanding accounts. Build long-term pipeline, meet license/support/service targets, orchestrate complex multi-stakeholder deals, leverage channels, position machine learning and predictive analytics, and collaborate cross-functionally to deliver customer value.

Lead software security for Cisco’s IT and Enterprise Operations portfolio. The role owns security posture, threat modeling, secure architecture reviews, AI and LLM security, risk-based remediation, security metrics, and release risk reporting. It partners with engineering, product, and IT leadership to drive security outcomes without direct authority, coordinate security subject-matter experts, and reduce security debt across cloud-native applications and enterprise platforms.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Lead development of secure, cloud-native networking and simulation platforms supporting Cisco’s domain-specific AI models. Architect network topologies, automate Cisco controller integrations, build distributed software, and establish data validation and provenance pipelines. Apply zero-trust security, threat modeling, RBAC, IAM, and secrets management. Implement telemetry and monitoring, conduct root-cause analysis, mentor engineers, guide technical standards, and shape the engineering roadmap across AI research, security, product, and infrastructure teams.

Define Cisco’s multi-year AI research strategy and architecture for purpose-built large language models in networking, security, data center, and observability. Lead massive-scale pre-training, continual pre-training, reinforcement learning, alignment, agentic framework, and autonomous operations initiatives. Advise executive leadership on production-scale AI ecosystems, publish influential research, lead academic initiatives, and mentor senior research talent.

Leads threat intelligence, threat hunting, and security engineering initiatives. Delivers incident-response intelligence, conducts hunts across large datasets, identifies adversary activity missed by detections, and builds scalable scripts, API integrations, automation, and AI-enabled tooling. Produces intelligence reports and presentations, collaborates with detection engineering, mentors team members, and participates in on-call support for major incidents.

Lead CDC/RDC methodology for ASIC subsystems: design and implement CDC-aware RTL, define CDC check flows and SDC constraints, perform static glitch and gate-level analysis, review/approve constraints and waivers, and collaborate with CAD to productionize robust, reusable silicon designs.