• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets. • Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes. • Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value). • Invest time in learning new product features, industry related developments, and broadening your overall technical skillset. • Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

• Supporting Akamai Large Strategic GPU and AI inference projects. • Driving new customer acquisition, support sales and marketing go-to-market initiatives. Direct customer engagement is required. • Leading solution and product innovation initiatives. Evangelizing local use cases/technology trends and influencing the product roadmap. • Building technical thought-leadership in Akamai AI inference and GPU offerings to support overall Akamai business growth. • Designing large GPU clusters to meet customer AI Inference and training needs.

• Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences, reporting capabilities, and data-driven decision-making • Manage Software Developers, Data Scientists, Business Intelligence Specialists, and related technical contributors to create a high-performing team and foster technical excellence • Lead the delivery of AI-enabled products and features for customers, improving the legal solutions experience for millions of users around the world • Advocate for and guide AI adoption across LawDepot, helping internal teams improve AI literacy and use AI tools productively, securely, and responsibly • Establish and maintain best practices for AI-native development • Lead the design and delivery of reporting and data analysis software that helps business teams access accurate, timely, and actionable insights through dashboards, self-service reporting tools, reporting platforms, SQL queries, automated workflows, and Excel-based analysis • Own and prioritize the AI team roadmap to ensure work is aligned with business goals, customer needs, technical feasibility, reporting requirements, and organizational impact • Research, evaluate, and recommend AI tools, reporting platforms, data technologies, development workflows, model integrations, MCP-enabled data tools, and technology decisions that align with business goals and long-term company strategy • Work with Revenue Operations to improve SDLC best practices for AI, data science, reporting, and analytics work • Manage project schedules, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI, reporting, data analysis, and related software development initiatives • Set team objectives, establish performance expectations, use performance metrics and data analysis to guide decisions, and conduct performance management to drive accountability and strong execution • Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and hiring as the team evolves • Partner with Product Owners and cross-functional stakeholders to define business requirements, align technical work with business goals, and translate customer, operational, and financial needs into delivery plans • Establish consistent standards for data quality, metric definitions, documentation, access controls, reporting accuracy, and governance to create trusted business reporting

• Quickly understand the customer's needs and pain points to design and implement solutions using open source and Diagrid technologies • Work with new prospective customers looking to use open-source Dapr in their solutions • Onboard them to Diagrid Cloud • Engage with users by creating and delivering customer demos • Build Proof of Concept (PoC) solutions in a variety of programming languages • Provide architecture guidance on a broad set of technologies focused in the Cloud Native space • Use expert knowledge of cloud engineering and system design to help customers with distributed system challenges • Bring knowledge and insights from real-world customer engagements to impact Diagrid products • Inform the leadership team of customer pain points and opportunities