Cisco

Engineer

• Deliver Lifecycle Services as part of Cisco's Customer Experience team
• Work on complex technical solutions and high-priority projects
• Ensure deployments are stable, scalable, and aligned with customer business goals
• Transform current and future customer architectures
• Support day-to-day customer activities
• Train and mentor other engineers
• Grow expertise across the Cisco portfolio and become the go-to expert in Mobility
• Understand product interactions and competitor solutions in real-world environments
• Build strong customer rapport as a reliable technical focal point
• Participate in solution discussions by connecting technical features to business priorities
• Use customer setup insights to recommend the best path forward
• Develop and review project documentation, including CIQs, LLDs, and test plans
• Leverage Cisco AI tools to automate deliverables and configurations
• Ensure technical accuracy of project outputs
• Implement innovative delivery methodologies
• Provide technical guidance across multifunctional teams and customer environments
• Lead high-visibility projects and translate global team objectives into technical execution strategies

Consulting Engineer – 5+ years, SP mobility

AI Research Scientist

• Lead research on world models and learning-based approaches for autonomous networks
• Develop world models that learn the state and dynamics of large-scale network environments
• Build models that predict network behavior and the impact of configuration and operational changes
• Develop model-based reinforcement learning approaches for network optimization, troubleshooting, and remediation
• Build simulation environments for training and evaluating models and agents before production deployment
• Explore representation learning, planning, and sequential decision-making approaches for network environments
• Develop methods to evaluate the reliability and safety of learned policies before deployment
• Work with networking experts and engineers to evaluate research on real network data and systems
• Publish research at leading AI/ML conferences
• Contribute to open-source projects

Principal AI Researcher

• Collaborate with the Cisco Customer Experience team to gain experience in real-world customer environments
• Design and deliver technology solutions that help Cisco customers achieve business goals
• Specialize in Data Center, Cloud, Security, Collaboration, or Enterprise Networking architecture
• Gain practical experience with groundbreaking technologies through active projects
• Develop consulting skills while working with customers in retail, healthcare, education, and public/private sectors
• Craft and implement technical solutions appropriate to customers’ needs and stage in the customer journey
• Address technical challenges and contribute innovative ideas

Consulting Engineer I – Intern

Sales

• Drive durable revenue growth by developing and executing strategic sales plans across Federal Civilian accounts in the Capital region
• Orchestrate account teams and align cross-portfolio solutions to meet complex customer needs and ensure competitive deal packaging
• Build and sustain relationships with CTOs, CIOs, and other key stakeholders to position Cisco as a long-term strategic partner
• Lead and coach a team of sales professionals through regular performance feedback and professional development
• Analyze sales forecasts and market trends to refine tactics
• Provide aggregated feedback that influences organizational sales planning

Sales Leader

AI Engineer

• Design and build systems combining security-relevant data, detection signals, context, and foundation models to spot and predict active and impending threats
• Prototype and test AI features for decoding events and system environments and predicting anomalies and threats
• Work with security SMEs and security researchers to validate real-world utility
• Develop an AIDevOps pipeline for rapid experimentation with data, knowledge bases, models, and context memory
• Establish clear, measurable success criteria to evaluate iterations
• Architect and build a distributed platform correlating trillions of events and signals
• Synthesize events and signals into explainable findings and alerts for triage resolution agents
• Build a key capability of the Agentic SOC
• Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows
• Contribute to the core architecture powering AI-native security operations and trusted enterprise automation at Splunk and Cisco

Senior Staff Software Engineer – AI/Security Platform

• Design and build systems combining security-relevant data, detection signals, context, and foundation models to spot and predict threats
• Prototype and test AI features for decoding events and system environments and predicting anomalies and threats
• Work with security SMEs and security researchers to validate real-world utility
• Develop an AI DevOps pipeline for rapid experimentation with data, knowledge bases, models, and context memory
• Define clear, measurable success criteria for evaluating iterations
• Architect and build a distributed platform correlating trillions of events and signals
• Synthesize events and signals into explainable findings and alerts for triage resolution agents
• Build a key capability of the Agentic SOC
• Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows
• Contribute to the core architecture powering AI-native security operations
• Help shape how Splunk and Cisco scale trusted automation across the enterprise

Staff Software Engineer – AI/Security Platform

Full-stack Engineer

• Design and build systems combining security-relevant data, detection signals, context, and foundation models to identify and predict threats
• Prototype and test AI features for decoding events and system environments and predicting anomalies and threats
• Work with security SMEs and security researchers to validate real-world utility
• Develop an AIDevOps pipeline for rapid experimentation with data, knowledge bases, models, and context memory
• Define clear, measurable success criteria to evaluate iterations
• Architect and build a distributed platform correlating trillions of events and signals into explainable findings and alerts
• Build capabilities for triage resolution agents in Cisco/Splunk’s Agentic SOC
• Collaborate with product and platform teams to co-design scalable AI-enhanced threat detection and prediction workflows
• Contribute to the core architecture powering AI-native security operations and trusted enterprise automation

Senior Software Engineer

• Design and build systems combining security data, detection signals, context, and foundation models to identify and predict threats
• Prototype and test AI features for event and system-environment decoding, anomaly prediction, and threat prediction
• Work with security SMEs and security researchers to validate real-world utility
• Develop an AI DevOps pipeline for rapid experimentation with knowledge bases, models, and context memory
• Define clear, measurable criteria for evaluating iterations
• Architect and build a distributed platform correlating trillions of events and signals
• Synthesize events and signals into explainable findings and alerts for triage resolution agents
• Build a key capability of the Agentic SOC
• Collaborate with product and platform teams to co-design scalable AI-enhanced threat detection and prediction workflows
• Contribute to the core architecture for AI-native security operations and trusted enterprise automation at Splunk and Cisco

• Develop and execute a regional sales strategy aligned with global enterprise objectives
• Identify growth opportunities and mitigate competitive risks
• Recruit, mentor, and manage enterprise account executives
• Provide performance coaching and foster professional development
• Maintain team engagement and accountability
• Own regional sales forecasting rituals
• Maintain rigorous pipeline hygiene
• Provide accurate, data-driven reporting to executive leadership
• Serve as executive sponsor for major accounts
• Engage C-suite stakeholders in high-level negotiations
• Secure long-term contracts
• Ensure high customer satisfaction and retention
• Partner with Marketing, Product, Customer Success, and Finance teams
• Support a seamless end-to-end customer experience
• Provide feedback informing future product development
• Monitor industry trends, competitive landscape, and regulatory changes
• Adjust regional sales tactics proactively

Regional Sales Leader

Marketing

• Lead defined validation workstreams for integrated Cisco solutions under Sr. TME guidance
• Build, configure, test, and troubleshoot lab environments reflecting real customer deployment scenarios
• Execute validation plans, capture evidence, identify issues, and document repeatable outcomes
• Partner with Sr. TMEs, BU product managers, BU TMEs, architects, field teams, and Cisco Validated peers
• Keep validation work technically credible and field-relevant
• Support earlier-career TMEs and external partner resources by sharing lab practices, troubleshooting approaches, and validation lessons learned
• Build broader technical fluency across the Cisco portfolio
• Contribute to repeatable validation practices
• Grow toward larger cross-portfolio ownership over time

Technical Marketing Engineer

• Lead cross-portfolio validation efforts for integrated Cisco solutions aligned to strategic priorities
• Define validation scope, success criteria, evidence requirements, and repeatability expectations
• Bring structure to ambiguous requests and evolving priorities
• Build, configure, test, and troubleshoot complex lab environments reflecting real customer deployment scenarios
• Partner with product managers, TMEs, Architectural Sponsors, field architects, sales teams, and Cisco Validated peers
• Ensure validation outcomes are technically credible and field-relevant
• Identify integration gaps, product limitations, operational considerations, and readiness concerns
• Produce technical evidence, lab notes, configuration artifacts, test results, known issues, and documentation inputs
• Mentor developing TMEs and external partner resources
• Set technical direction, review evidence quality, and reinforce repeatable validation practices
• Support Cisco Validated Designs, proof motions, integrated solutions, case studies, briefs, and reference architectures
• Translate technical findings into assets for sales teams, architects, partners, and customers

• Own the reliability of AI-powered applications and features from the user’s perspective
• Define, implement, and enforce feature-level SLIs, SLOs, and error budgets for APIs, RAG systems, AI agents, and user-facing applications
• Build and maintain application observability systems using Looker dashboards on BigQuery and BigTable
• Provide visibility into feature health, error patterns, and usage trends for developers, product managers, and leadership
• Design and build LangGraph-based agents for automated issue identification and remediation
• Implement anomaly detection, root cause diagnosis, auto-rollback, feature-flag kill switches, and self-healing workflows
• Develop agent evaluation harnesses for benchmarking, multi-step workflow testing, non-deterministic outputs, and regression testing
• Write complex BigQuery SQL for usage trend analysis, anomaly detection, and operational analytics
• Design BigQuery table schemas optimized for observability and debugging
• Analyze application usage trends and adoption metrics to identify reliability risks, capacity needs, and degraded user experiences
• Partner with application development teams to embed deployment safety, structured logging, and distributed tracing practices
• Lead application-level incident response, root cause analysis, and blameless postmortems
• Build Python tooling and automation to reduce mean time to detect and resolve application-layer issues
• Apply emerging AI techniques to improve platform reliability and developer productivity
• Collaborate with application developers, data engineers, infrastructure SREs, security, compliance, product teams, and leadership

Senior Software Engineer – Application Reliability, Kubernetes, GCP, SQL

Machine Learning Engineer

• Develop and implement generative AI applications using large language models such as GPT-4, Claude, and Llama
• Optimize neural networks for natural language processing and machine perception
• Use convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks
• Train, fine-tune, test, and deploy models for real-world use
• Gather and prepare data with engineers and cross-functional teams
• Design custom layers
• Automate model deployment
• Experiment with new technologies and continue learning
• Produce production-ready code
• Build robust tests
• Collaborate with platform, security, release engineering, and support teams to deliver and operate AI/ML products

Machine Learning Engineer II

Account Executive

• Develop and execute strategic account plans for assigned SLED customers
• Leverage Cisco executive sponsors, technical resources, marketing, customer success, and partner ecosystem
• Drive double-digit revenue growth across SLED accounts in the NorCal market
• Identify new opportunities, build pipeline, and expand Cisco Security adoption
• Accurately forecast pipeline and business activity using Salesforce and Clari
• Identify and lead strategic security initiatives that increase software, services, and recurring revenue
• Achieve software, subscription, support, and services revenue targets
• Expand executive relationships and drive complex, multi-stakeholder sales opportunities
• Land new customers and expand existing relationships
• Uncover additional security use cases across customers’ organizations
• Partner with Cisco sales, engineering, customer success, and the partner ecosystem
• Position Cisco as a strategic security advisor for SLED customers in Northern California

Security Account Executive – SLED

• Drive incremental services growth by leading the overall strategy for customer outcomes and recurring revenue business
• Collaborate cross-functionally with account teams and specialists to develop, qualify, and close high-complexity service opportunities
• Manage long-term customer relationships and C-level engagements
• Influence decision criteria and secure Cisco’s competitive advantage
• Use data analysis and customer insights to uncover new opportunities and address customer pain points
• Provide accurate weekly and monthly sales forecasts
• Strengthen the partnership between sales and customer success
• Ensure end-to-end service alignment and delivery of expected business outcomes

Consulting Engineer – 5+ years, SP mobility

Principal AI Researcher

Consulting Engineer I – Intern

Sales Leader

Senior Staff Software Engineer – AI/Security Platform

Staff Software Engineer – AI/Security Platform

Senior Software Engineer

Staff Software Engineer – AI/Security Platform

Regional Sales Leader

Technical Marketing Engineer

Technical Marketing Engineer

Senior Software Engineer – Application Reliability, Kubernetes, GCP, SQL

Machine Learning Engineer II

Security Account Executive – SLED

Account Executive – Professional Services