Cisco

Artificial Intelligence

• Develop and maintain core School of Splunk Field Sales Enablement portfolio
• Design and deliver AI-focused onboarding and upskilling curricula
• Integrate critical technical sales skills into curriculum for learners to develop mastery
• Compose test questions, evaluations, and assessments that validate proficiency
• Develop and continuously refresh learning content that reflects the messaging and positioning related to Splunk platform
• Work with key stakeholders to develop technical seller training programs
• Serve as a trusted advisor to technical sales stakeholders and SMEs
• Update and optimize existing GFE training assets to reflect Cisco's current strategic direction

Curriculum Designer – AI Native

Software Engineer

• Define product strategy, roadmap, and execution for AI-driven onboarding and operational product experiences in close partnership with business stakeholders and cross-functional teams
• Drive the full product lifecycle from discovery and experimentation through launch and iteration, ensuring solutions deliver measurable customer and business outcomes
• Translate complex customer needs, technical capabilities, and market opportunities into clear priorities, comprehensive product requirements, and actionable user stories that guide high-quality execution
• Lead alignment across Design, Engineering, Data Science, AI/ML, Sales, and Marketing to remove blockers, resolve strategic issues, and keep delivery on track
• Measure success through KPIs, customer impact, and financial outcomes while crafting a compelling multi-year vision for scalable, intelligent product experiences

Engineering Product Manager

Sales

• Manage a team of Data Analysts, Data Engineers, and Tableau Developers.
• Ensure that Sales Leadership have access to the data, analytics and insights they need.
• Turn complex data into executive-ready insights, building visualizations that bring the data to life.
• Develop AI workflows to help our leaders make better compensation decisions faster.
• Lead, mentor, and develop a high-performing team of Data Analysts, Data Engineers, and Tableau Developers, encouraging a culture of innovation, teamwork, and continuous learning.
• Collaborate with team members across Sales, Finance, HR, IT, and global regions to gather, document, and prioritize compensation reporting and analytics requirements.
• Oversee the design and automation of compensation dashboards using advanced data science techniques, including predictive modeling, statistical analysis, and machine learning.

Strategy & Planning Manager – Global Sales Compensation

Graphics Designer

• Lead digital design and integration of Cisco's silicon photonics ICs for 100G-400G per lambda solutions
• Drive architecture, RTL design, and subsystem integration for high-performance optical interconnect products
• Define organization-wide RTL quality standards and procedures
• Drive full-chip integration of high-speed IPs (ODSP, D2D, SerDes XSR/PAM4)
• Own DFT strategy and testability across designs
• Partner with verification, firmware, and physical design teams for program success
• Mentor global teams and foster collaborative, innovative culture
• Develop automation scripts (Python, Perl, Tcl) for design analysis and QoR tracking

Principal Digital Design Lead

Security Engineer

• Security research including development of tools for vulnerability analysis and mitigation
• Development of static and run-time analysis tools to figure out root cause and input conditions related to a vulnerability
• Vulnerability triage and proof of concept exploit development to support the creation of detection content
• Write detailed technical reports, summaries, and testing methodologies
• Research emerging technologies, protocols, and testing methodologies
• Develop proof of concept exploits for testing vulnerability mitigations
• Perform patch analysis to find and trigger vulnerabilities
• Reverse engineer binary applications, protocols, and formats
• Analyze vulnerabilities and emerging security threats and technologies
• Provide critical security focused expertise to engineering organizations

Security Research Engineer

Full-stack Engineer

• Software engineers contribute to the design and maintenance of crucial technology platforms, such as operating systems, networks, and databases
• The focus is on building stable, user-friendly programs while closely following established processes and considering the relationship between software and hardware

Software Engineer I, Intern

• focus on building an intuitive data analytics user experience
• encompasses the intersection of data, engineering, and design, utilizing modern web technologies
• develop and maintain data visualization components used by internal and external product teams
• develop modern user interfaces that are desktop and mobile browser friendly
• collaborate closely with product management, design, frontend, and backend engineers to understand customer needs
• participate in the development of project timelines, implementation of design specifications, system flow diagrams, documentation, testing, and ongoing support of systems
• maintain and improve existing code with pride in ownership

Business Operations

• Orchestrates cross-functional initiatives to directly impact service levels
• Streamlines operational processes and maximizes customer satisfaction
• Responsible for planning, executing, and governing programs across the full lifecycle
• Ensures alignment to strategic objectives while maximizing resource efficiency
• Mitigates operational risks and drives continuous process improvement
• Builds consensus and provides expert guidance on operational excellence
• Navigates systemic challenges to implement scalable solutions
• Establishes robust operational governance frameworks

Business Operations Manager – Service Supply Chain

Hardware Engineer

• Define and execute system-level validation strategies for complex networking platforms
• Validate end-to-end functionality across hardware, OS, and networking software stacks
• Perform feature, regression, interoperability, and scale testing
• Develop automated test frameworks using Python, C/C++, or similar languages
• Build scalable validation environments for high-throughput networking systems
• Integrate tests into CI/CD pipelines for continuous validation
• Design and execute tests for throughput, latency, packet loss, and scale limits
• Validate system behavior under high traffic loads and real-world network conditions
• Analyze system performance across L2/L3 protocols and data center workloads
• Debug complex issues spanning ASICs, firmware, drivers, and network OS
• Perform root cause analysis using logs, traces, and lab instrumentation
• Collaborate with design and software teams to resolve issues efficiently
• Partner with ASIC, hardware design, software, and architecture teams
• Influence design decisions by identifying system-level risks early
• Work with customers and field teams to reproduce and resolve issues

Technical Product Manager

• Accountable for End-to-End delivery within the defined product
• Accountable for partnering with other dependent teams, and their delivery leads, for successful product delivery
• Coordinates across Product Owners, TPMs, and Delivery Leads to resolve blockers and delivery conflicts
• Ensures backlog is refined, sustainable, and actionable by delivery team
• Partners with delivery team to facilitate team ceremonies (standup, planning, retro, etc.)
• Responsible for partnering with tech team to understand technical direction and capabilities for decision making and trade-off discussions
• Partners with Product Owner on backlog prioritization and technical considerations
• Ensures cross-functional collaboration and decision making (Balanced Team)
• Accountable that defined SDLC practices are followed through all phases of development and maintenance
• Accountable for creating sustainable operational model with most efficient use of AMS
• Serves as the face of the product on the IT side - Primary escalation and communication point to the product team
• Partners with business and IT stakeholders to define product level vision, objectives, and strategies
• Partners with business stakeholders and Product Owners on further defining OKRs and overall success metrics for the product
• Monitors and Ensures product performance (e.g. KPIs & Key Results) meets expected results
• Accountable for ensuring Product Delivery team understands objectives and success criteria
• Partners with Tech Leads, Anchors, and UX to create delivery options to meet business objectives
• Partners with Delivery Leader on team needs, pain points, risks, and opportunities
• Partners with UX and Product Owner on user feedback and user data for future product direction
• Targets LEAN product principles (Lean teams, iterations, stories, releases)

Senior Technical Product Manager

Risk

• Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness)
• Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use
• Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability
• Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI
• Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners
• Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion
• Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.

Senior Data Governance Analyst – Business Data & Analytics

Business Intelligence Developer

• Analyzes, evaluates, and interprets large volumes of complex data from diverse sources to drive strategic business initiatives.
• Ensures data integrity and accuracy through comprehensive data audits and advanced validation techniques.
• Conducts in-depth analysis of data trends and patterns to identify opportunities for optimization and inform strategic decisions.
• Collaborates cross-functionally with various departments to understand and address their complex data reporting requirements, delivering customized solutions.
• Presents findings and strategic recommendations to management and other business stakeholders in a clear, impactful manner.
• Identifies, recommends, and implements advanced process improvements to enhance data collection, analysis, and reporting efficiency and effectiveness.
• Maintains advanced, updated knowledge of industry best practices and emerging trends in data analytics and reporting, integrating new methodologies as appropriate.
• Develops and maintains clear documentation for data processes, workflows, reporting standards, and data definitions to support governance and reuse.
• Owns delivery of complex analytics, reports, and dashboards, developing analytics logic and metrics in Snowflake to support exploration, prototyping, and business decision-making.
• Partners with IT Data Mart teams to align business logic, data definitions, and reporting usage with enterprise data models, standards, and production implementations.
• Uses AI-assisted analytics and coding tools responsibly to accelerate analytics delivery and improve quality where they provide clear business value.
• Provides technical guidance and supports peer development to analysts through design reviews, knowledge sharing, and problem solving.
• Performs other duties as assigned.

Senior Business Intelligence Analyst

Data Scientist

• Coordinates the daily operations of the data team
• Oversees analytical work and ensures data integrity
• Leads the development and delivery of reports, dashboards, and visualizations
• Partners with business stakeholders to understand reporting and analytics needs
• Collaborates with IT data-mart teams and enterprise analytics
• Identifies and implements process improvements
• Ensures documentation for analytics processes is maintained
• Leads, mentors, and provides coaching to analysts
• Contributes hands-on analytical work as needed

Analytics Lead

• Analyzes large, complex datasets to identify trends, patterns, and opportunities
• Designs, develops, and deploys predictive models for underwriting, pricing, claims, catastrophe modeling
• Designs and implements data pipelines and automated reporting tools
• Collaborates with actuarial, underwriting, claims, and product teams to translate business problems into data science solutions
• Communicates data insights and recommendations to senior leadership through compelling data storytelling and visualization
• Monitors and maintains model performance and ensures data quality and integrity
• Drives innovation by exploring new data sources, modeling techniques, and technologies to enhance business performance
• Collaborates with data engineers to ensure data quality, accessibility, and scalability

Data Scientist – Financial Institution Services

Account Executive

• Utilize a go-to-market sales model focused on delivering measurable business outcomes, driving meaningful customer value, and securing large-scale strategic wins
• Manage the end-to-end sales process through rigorous account planning, strategic resource allocation, and focused execution to consistently exceed revenue targets
• Own and deliver accurate monthly, quarterly, and annual forecasting, maintaining a healthy pipeline and ensuring sustainable revenue growth
• Analyze customer financials to uncover strategic priorities and growth opportunities
• By assessing consumption models and aligning solutions to specific business outcomes, you will optimize investment strategies and achieve measurable performance goals