Top Tech Jobs & Startup Jobs in Austin, TX

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Leads Cisco’s legal support for its Security Business Group, advising executives and cross-functional teams on product development, commercialization, technology strategy, intellectual property, licensing, privacy, AI, cybersecurity, regulatory matters, and technology transactions. The role manages and develops legal professionals, establishes scalable legal strategies, supports global product lifecycles, and provides practical counsel during innovation, integration, and business growth.

MBA Strategy and Planning Interns lead enterprise strategic initiatives from problem definition through execution. They develop business cases, metrics, KPIs, analyses, and executive-ready presentations; synthesize quantitative and qualitative data; collaborate cross-functionally; drive alignment; present recommendations to senior leaders; and apply AI and automation to business processes and decision-making.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Leads Duo’s high-volume B2B demand generation strategy for SMB and lower-mid-market segments. Owns full-funnel acquisition, sales alignment, portfolio digital strategy, ABM integration, budget and agency management, performance reporting, and AI-enabled marketing workflows. Coaches a hands-on marketing team and partners cross-functionally with Sales, SDR, Product Marketing, and Content teams to improve pipeline, bookings, conversion quality, and acquisition efficiency.

Design and integrate DFT features and IP across RTL and physical teams; implement ATPG, JTAG, scan, BIST and ATE support; validate test logic through implementation, gate-level simulation, and post-silicon debug; contribute to DFT architecture, methodology, and signoff activities.

Lead strategy and planning for Cisco’s US Commercial Solutions Engineering organization. Develop growth and operational strategies, define KPIs, analyze performance, coordinate across sales, marketing, product, and engineering teams, and drive corrective actions. Mentor team leaders, implement professional development programs, advocate for the SE community, and foster a high-performance culture aligned with broader organizational objectives.

Leads ASIC physical design from RTL through GDSII, including synthesis, floorplanning, place and route, timing analysis, power integrity, clock-tree synthesis, ECOs, and sign-off. Improves physical design methodologies and tool flows, supports full-chip tapeouts, evaluates timing tools, and collaborates with RTL, DFT, EDA vendors, and implementation teams. Focus areas include performance, die-size optimization, timing closure, power-grid planning, and advanced-node designs.

Leads program management for Cisco Networking’s AI transformation and Design Foundations initiatives. Builds roadmaps, milestones, governance, risk and dependency tracking, reporting, and decision-making processes. Partners across design, product, engineering, research, security, AI, and operations teams to scale AI-assisted design practices, establish adoption standards, and move initiatives from experimentation to durable organizational capabilities. Drives measurable outcomes, cross-portfolio alignment, enablement, and change management.

Leads the technical vision, strategy, roadmap, and delivery of AI/ML capabilities across Cisco and Splunk products. Guides architecture, model development, production deployment, distributed training, and service integration while mentoring teams and influencing enterprise stakeholders. The role focuses on generative AI, large language models, deep learning, time series modeling, natural language processing, and scalable AI product development.