Top Tech Jobs & Startup Jobs

Drive enterprise and channel sales for Cisco’s technology portfolio across web, media, gaming, and service provider customers. Build executive relationships, articulate complex technology value propositions, negotiate contracts, manage channel partners, meet sales quotas, and support strategic account planning. The role requires strong knowledge of Cisco networking, security, data center, routing, Webex, CRM tools, and sales forecasting, with travel to customer and partner engagements as needed.

Build and maintain native desktop features for macOS and Windows using Swift, SwiftUI, C#, and .NET. Develop responsive interfaces, write unit and UI tests, conduct code reviews, troubleshoot production issues, integrate REST APIs, and collaborate with backend, security, product, and platform teams. Lead medium-complexity features, mentor junior engineers, improve platform security and performance, and contribute to reliable identity and device-trust experiences.

Drives Cisco technology adoption, customer value realization, renewals, and expansion across complex strategic accounts. The role develops technical adoption plans, leads health checks and alignment workshops, mitigates renewal risks, identifies growth opportunities, and influences product improvements through customer feedback. It coordinates cross-functional teams, mentors resources, develops scalable playbooks, applies AI and automation to adoption analysis, and engages senior customer leaders to deliver strategic outcomes.

Leads software engineering strategy and development for internal engineering tools, integrations, APIs, and data systems. Defines technical direction, designs scalable solutions, establishes clean-code and agile practices, and drives product adoption through metrics and user-centered design. Partners with engineering, product management, and program teams; mentors senior engineers; improves searchable knowledge-sharing and cross-functional delivery processes; and scales proven solutions across the organization.

Lead IDIQ contract management and serve as deputy to the Program Management Office Director. Oversee governance, compliance, modifications, negotiations, audit readiness, and contractual integrity for large-scale Department of Defense agreements. Coordinate cross-functional teams, standardize decentralized ordering processes, improve program efficiency, and maintain relationships with senior government stakeholders. Manage portfolio health, forecasting, and operational excellence across complex federal technology contracts.

Lead compliance, platform security, and public sector market access strategy for Catalyst Center. Drive FedRAMP expansion, IAM/RBAC modernization, and security assurance (including PQC). Collaborate with engineering and market access teams to deliver unified, compliance-focused capabilities across cloud and on-premises networking to accelerate adoption.

Develop technical strategies and solutions for state, local, and education customers. Partner with account managers, Cisco teams, and partners to conduct discovery, demonstrations, technical presentations, and customer meetings. Build pipeline, support solution adoption, maintain customer relationships, and stay current on technology and competitive trends.

Lead ML engineer responsible for designing and building scalable data and ML systems for LLM development. Own data pipelines, human-in-the-loop labeling, synthetic data generation, automated evaluation, and dataset quality measurement. Collaborate with researchers and engineers, provide technical direction, and mentor teams to link dataset composition to model performance.

Drive revenue by selling Splunk to large enterprise accounts. Build pipeline, close license/support/service deals, expand relationships, orchestrate complex multi-stakeholder deals, leverage partners and channels, and provide cross-functional feedback to support growth.

Leads Cisco CX AI engineering strategy and teams developing production-grade generative and agentic AI solutions. Responsibilities include architecting AI platforms, scaling data-driven systems, managing software and ML engineers, standardizing AI tools and infrastructure, partnering with product and business stakeholders, and establishing responsible AI, context engineering, and observability practices.