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Lead design and delivery of AI/ML systems for customer success and support: build production LLM/RAG assistants, model lifecycle and MLOps, low-latency ML services, safety/governance controls, and full-stack integrations (frontend, backend, cloud). Drive observability, KPIs, experiments, and cross-functional partnerships while mentoring engineers and shipping scalable, secure AI features.

The role involves qualifying inbound leads, executing sales motions, maintaining CRM records, and developing sales skills to drive customer relationships.

Customer-facing specialist who analyzes and explains AI runtime security test results (POCs, red-teaming, scanners), diagnoses false positives/negatives, defines risk thresholds, and enables customers and internal teams on prompt/policy tuning, evaluation, and AI risk interpretation.

The Technical Program Manager leads complex engineering programs from conception to delivery, managing cross-functional teams to ensure program success and alignment with business objectives.

As a Datapath Engineer Intern, you will aid in developing and validating low-level software for F5 hardware, collaborating with senior engineers on testing and automation.

The Product Marketing Intern will assist in developing content strategies, conducting market research, creating engaging content, and analyzing product marketing activities in the AI domain.

As a Solutions Engineer II, you'll support sales with technical expertise, product demos, solution design, and troubleshooting under moderate supervision.

The Office Services Analyst III supports office services, enhances operational efficiency, coordinates across teams, and manages office budgets and vendor relations.

Design, build, and support scalable full-stack Salesforce solutions using Aura/LWC and Apex. Integrate Salesforce with external systems, implement agentic platforms like AgentForce, deploy services on AWS, incorporate AI-assisted development, manage CI/CD pipelines and infrastructure-as-code, collaborate in Agile teams, and ensure performance, reliability, security, and accessibility.

Lead end-to-end infrastructure capacity planning to align supply strategy with compute, network, and storage needs. Build demand forecasts and utilization policies, engage vendors and procurement, refine forecasting models (including AI-driven methods), produce executive-ready capacity reporting, and collaborate cross-functionally to ensure timely hardware deployments that meet performance, cost, and delivery targets.