Cisco

Data Analyst

• Lead the design, development, and integration of AI-powered features
• Architect scalable, cloud-native solutions on GCP and AWS
• Actively leverage AI coding assistants, LLMs, and prompt engineering techniques
• Drive responsible AI practices across the team
• Collaborate with product management, data science stakeholders, and QA
• Define and enforce software engineering standards within a CI/CD environment
• Lead code reviews, architecture discussions, and technical planning sessions
• Mentor junior and mid-level engineers
• Stay current on emerging AI frameworks and capabilities

Data Science Analysis Manager

• Design and implement software features and enhancements within the AutoQuote application
• Build and maintain data processing workflows using Prefect, GCP services, and REST APIs
• Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates
• Actively use AI tools to accelerate development, generate and validate code, and solve complex engineering problems
• Participate in architecture and design reviews
• Collaborate with senior engineers, product management, and QA to translate requirements into robust, testable implementations
• Lead code reviews for junior engineers and provide constructive technical feedback
• Investigate and resolve production bugs; contribute to improving system reliability and operational health
• Stay current on AI frameworks, cloud-native tooling, and engineering best practices

Data Science Analyst

Data Scientist

• Own the technical architecture and engineering strategy for AutoQuote's cloud-native platform — spanning AI feature integration, data pipeline infrastructure, microservices design, and platform reliability.
• Lead the design and delivery of the highest-complexity, highest-impact engineering initiatives on the team, setting the architectural patterns and engineering standards that guide the broader organization.
• Define and enforce software quality standards, AI usage guidelines, and engineering best practices across the AutoQuote engineering organization.
• Partner with engineering leadership, product management, and program stakeholders to translate program strategy into a coherent technical roadmap and prioritized backlog.
• Evaluate, prototype, and champion emerging AI capabilities — including LLM integration, agentic frameworks, and AI-assisted development tooling — driving adoption across the team and into the product.
• Drive responsible AI governance across AutoQuote, including prompt engineering standards, AI output evaluation practices, and compliance with Cisco security and data handling policies.
• Mentor and technically develop senior and mid-level engineers; serve as the primary technical authority and critical issue point for complex engineering decisions.
• Lead architecture reviews, critical design decisions, and cross-functional technical alignment sessions.
• Represent AutoQuote engineering in program-level and executive forums; communicate technical tradeoffs, risks, and decisions with clarity to both technical and non-technical audiences.

Lead Data Scientist

Program Manager

• Serve as the primary driver for supply chain readiness, total cost management, and BOM resiliency for all hardware programs from pre-concept through First Hardware Ship (FHS)
• Hold accountability for the assigned product portfolio’s total cost and margin management, cost reduction programs, and risk mitigation
• Validate the integrity of costed BOMs and forward costing to articulate main cost drivers
• Support standard and gross margin management through value engineering, commodity analysis, and BOM optimization
• Lead ramp plans to ensure continuity of material supply and delivery between prototype and early production phases

Product Lifecycle Supply Chain Program Manager

Business Analyst

• Designs, plans and coordinates all aspects of business-related projects from initiation to delivery
• Projects often involve technical and non-technical aspects
• Coordinates work across multiple teams including internal customers/partners by defining project requirements
• Responsible for the development and execution of business-related solutions for clients
• Develops detailed project plans and manages all implementation processes including resource allocation, progress tracking, and monitoring change control process
• Drive solution and architecture design for new transformation initiatives
• Work with cross functional teams and IT to ensure seamless program execution of all platforms and tools managed

Business Architecture Analyst

Supply Chain

• Drive the re-writing of Cisco’s planning playbook
• Establish a framework to guide operations for years to come
• Lead the integration and deployment of agentic AI capabilities
• Align strategic goals with architectural changes
• Translate business strategy into capability requirements
• Benchmark processes against industry best practices
• Serve as the critical liaison between Business and IT

Business Architect – Supply Chain Planning

Operations

• Attend forecast calls to identify and understand key priorities for the week, month, and quarter
• Accountable for weekly commit operationalization, coordinating with cross-functional teams
• Provide field/customer operations advisory, enablement, and change management regarding tools, policies, and processes
• Manage the quality of bookings and backlog management, including analysis and resolution
• Conduct Stakeholder Operational Business Reviews
• Advise sales teams on Cisco’s crediting and compensation policies

Operations Manager, Japanese Language Proficiency

Product Marketing

• Developing a narrative that informs, encourages, and engages internal and external audiences
• Employing a range of messaging platforms and channels, including internal and executive communications, customer and partner engagements, social media, newsletters, and industry events
• Producing employee-facing communications (e.g., organizational messages and All Hands meetings)
• Producing external content for executive leadership (e.g., keynote presentations, customer and partner executive briefings, thought leadership content)
• Working with product management teams to articulate our value proposition and deliver it as a narrative in the form of presentations, messaging documents, blogs, and more
• Collaborating with senior leaders in Product Management and Marketing, as well as CX Engineering stakeholders, Corporate Communications, Corporate Marketing, and People & Communities
• Partnering with central communications teams to align messaging and content and amplify relevant stories

Communications Manager, CX Product Management & Marketing

Account Executive

• Play a crucial role in driving significant revenue growth for Splunk Commercial Accounts
• Establish a strategic vision and plan for pipeline generation
• Meet license, support, and service revenue targets
• Directly impact customer experience
• Collaborate with business partners to develop compelling enterprise solutions
•Drive revenue growth and expand a geo-based territory

Account Executive – Splunk Commercial

Engineer

• Lead the design, deployment, migration, and optimization of complex SD-Access, SD-WAN, and Routing & Switching solutions for strategic customers.
• Serve as the focal point for technical issues, including product/software vulnerabilities, escalations, and case resolution in partnership with TAC.
• Engage in customer solution discussions — connecting proposed solutions to business priorities.
• Create customer-facing documentation, migration plans, and implementation plans aligned to CX standards; build complex test environments to validate designs.
• Leverage Cisco AI and automation tools to drive delivery efficiency, contribute reusable intellectual capital, and mentor early-career engineers on the team.

Consulting Engineer – SDA, SDWAN, ACI

QA Engineer

• Design, develop, and implement high quality SRE applications and tools for Cisco SDWAN management layer
• Create and execute test strategies, reporting results and metrics to ensure feature quality
• Collaborate with team members to determine the root cause of problems and the best course of action to resolve problems and avoid them in the future
• Maintain cloud-hosted development, staging, and production environments and their monitoring and alerting systems
• Apply modern, best practices in designs and implementations

Senior Software QA Engineer

Full-stack Engineer

• Own the end-to-end architecture and cross-product integration strategy for Kafka-based data infrastructure
• Serve as the primary technical authority for data ecosystems spanning Cisco Identity Intelligence, Duo, and emerging agentic product lines
• Drive the design and implementation of high-scale, event-driven data flows
• Define standards for schema management, data quality, and observability
• Influence production readiness and operational maturity
• Use expertise in large-scale Kafka deployments to build resilient systems
• Act as a central technical bridge between disparate engineering teams

Senior Software Technical Leader – Duo Identity AI

Sales

• Directly lead the sales leaders covering PBST- Defense and work closely with assigned technical resources and other functional teams
• Consistently deliver software license revenue targets – ensuring company revenue goals and objectives are achieved quarter over quarter and year over year
• Review the activities and performance of staff under supervision, setting expectations and providing mentorship and direction as needed; ensure that managers do the same for their staff
• Accurately forecast quarterly, and annual revenue numbers for assigned region, dedication to the number and to deadlines
• Effectively manage segment by considering all accounts collectively; establish accurate account plans and forecasts; prioritize efforts; generate short-term results while holding a long-term perspective to achieve overall results
• Put into place sales force structure, sales process strategies, and strategic resource plans that will capture key revenue opportunities in target markets throughout the Region
• Develop & lead integrated campaigns with Marketing, Channel, Alliance, BD and Customer Success teams to drive pipeline growth
• Monitor results and adjust strategies as needed
• Focus on new customer acquisition
• Maintain market and competitor intelligence and develop strategies to maintain the Company’s competitiveness
• Work as a team for the most efficient use and deployment of resources; collaborate with sales engineering, channels/alliances, professional services, product, legal, marketing, and engineering teams to build a seamless customer experience
• Use CR, analytics and reporting systems (Salesforce) extensively

Director, Sales – Splunk Federal INTEL/Defense

Systems Engineer

• Developing scalable data pipelines
• Designing robust analytics platforms
• Building infrastructure to support machine learning initiatives
• Contributing to the growth of emerging technologies in data and intelligent systems
• Collaborating with business groups such as S&TO, Supply Chain, and Infrastructure Engineering to enable operational excellence
• Ensuring high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions

Software Engineer – Data, AI, Intelligent Systems I

• Lead the strategy and execution of the company’s data analytics and operations roadmap to align enterprise data capabilities with corporate growth objectives
• Oversee the delivery of high-impact business intelligence solutions to ensure organizational data is accurate, accessible, and effectively used to inform strategic decision-making
• Partner with executive leadership and cross-functional stakeholders to define key performance indicators and deliver data-driven insights that improve operational efficiency, profitability, and customer experience
• Establish and enforce global data governance and compliance standards to maintain data integrity, privacy, and regulatory alignment
• Build, mentor, and scale a high-performing team of analytics and operations professionals while evolving scalable reporting frameworks and data-driven business processes