• Design and implement APIs and data pipelines to ingest, process, and manage large volumes of structured and unstructured data • Ensure high standards of code quality, system architecture, and performance optimization for scalable data solutions • Manage end-to-end project ownership, including feature development, infrastructure enhancement, and integration with enterprise data systems • Collaborate with cloud engineers to deploy and manage Data Platform infrastructure on cloud platforms, leveraging containerization and orchestration tools such as Docker and Kubernetes

• Deliver technical enablement sessions to broad audiences of customers, partners or internal Cisco employees, in person and remotely, around Cisco’s DC Networking portfolio. • Articulate Cisco’s DC Networking messaging and strategy, with a focus on the solutions that the portfolio enables. • Develop technical marketing collateral, including white papers, solution briefs, case studies, and technical presentations. • Develop and validate customer-facing demos, lab experiences, and video content using beta and EFT code, in close collaboration with engineering and product teams. • Write and present thought leadership content, such as blog posts, webinars, and conference presentations. • Collaborate with the product and marketing teams to define messaging and positioning for DC networking solutions. • Partner with engineering, product management and technical marketing to refine product requirements and solutions, ensuring cross-portfolio consistency. • Develop persona-based solution narratives tailored to relevant buying centers, including NetOps, SecOps, platform engineering, and AI infrastructure teams. • Actively participate in roadmap discussions, feature reviews, and internal meetings to shape future product direction. • Collaborate with product management and technical marketing to track customer and partner feedback and product enhancements, from initial testing through to final external enablement. • Represent Cisco’s DC Networking business unit at industry events, trade shows, and conferences as a technical evangelist. • Represent Cisco's DCN business unit in analyst engagements, including Tech Field Days and industry analyst briefings, to validate market leadership and technical strategy. • Engage with key stakeholders to build relationships and promote the company’s solutions.

• Design and develop comprehensive training materials, including course objectives, subject matter outlines, lesson plans, presentations, hands-on exercises, and training manuals, for new and existing courses. • Deliver engaging and effective training sessions to diverse audiences, including internal engineers, field service engineers, and external customers, both at our training facility and customer sites. • Develop and manage hands-on training exercises using real equipment and simulation tools. • Regularly review and update training materials based on feedback from training participants, technical support teams, and field experience. • Identify areas for improvement and implement changes to enhance training effectiveness. • Work closely with the technical support teams to stay informed of product updates, field issues, and customer needs. • Coordinate training logistics, including scheduling, venue arrangements, material preparation, and participant communication. • Provide occasional technical support to customers on GE Power Conversion products, leveraging product expertise and field experience.

Role Description - Evaluate the performance of AI systems within private banking environments. - Test and improve AI models to enhance accuracy and reliability. - Collaborate with AI research teams to refine system outputs. - Provide structured feedback to elevate AI training data quality. - Work independently and asynchronously to meet project goals. Qualifications - Expertise in private banking. - Experience using Nubank. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.