AI Agent Support Specialist

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? With the advent of AI, the nature of customer support has changed dramatically - as have the humans who provide it. Our next Technical Support Specialist will be someone who thrives in autonomy, is deeply curious, fluent in AI tools and holds an extremely high bar not just for themselves, but for their teammates. As a Technical Support Specialist, you'll own complex technical queries around some of our most nuanced features, serve as a point of escalation for your colleagues for the most tricky investigations, consistently provide world class customer support, collaborate with our customers proactively to help them make the most of our platform and help drive improvements in product, processes, and peer development. You'll use AI tools alongside your own expertise to handle complex cases effici

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the role Own the vision, strategy, and detailed product requirements for systems that enable Lab37 to support customers and field-deployed operations at scale. Translate customer, support-agent, and operational insights into a prioritized roadmap spanning self-service, automation, human workflows, case management, triage, and escalation. What you’ll do Own and refine a multi-year customer support systems roadmap: Ground priorities in customer research, support data, operational needs, and Lab37's strategic goals. Design a scalable, tiered support model: Define experiences and handoffs across self-service, automated resolution, frontline support, specialists, and Engineering or Field Service escalation. Build intelligent intake, triage, and routing: Establish the issue taxonomy, severity model, ownership rules, and escalation paths across robotics, KDS, Otter, and related integrations. Create automated and human-assisted support experiences: Deliver knowledge tools, guided diagnostics, agent assistance, and playbooks that recommend next steps and preserve context through every handoff. Connect support workflows to system context: Bring telemetry, logs, configurations, order and integration status, and customer history into the tools used to diagnose and resolve issues. Lead discovery and maintain product artifacts: Author PRDs, service blueprints, user stories, acceptance criteria, and success metrics informed by customers, operators, support agents, and field teams. Define, monitor, and anal

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the Role As AI agents move from answering questions to taking action across the internet, the standards that govern identity, delegated authority, discovery, communications, agentic-commerce and payment interfaces, agent-facing web access, agent-specific provenance, and auditability will determine whether agents can operate safely, interoperably, and with clear accountability. OpenAI is looking for an Agent Standards Manager to lead execution of our external technical standards strategy for a defined set of agent standards workstreams. This role will work closely with Agent Security, Applied and Platform teams, Product, Legal, GRC, Global Affairs, and GTM to turn OpenAI’s technical architecture and controls into credible specifications, protocol profiles, assurance criteria, and implementation guidance—and to bring emerging external requirements back into product and security roadmaps before they become blockers. The positions developed here are technical standards positions, not broad public-policy positions. This is a builder’s role as much as an external-facing role. You will execute a prioritized standards plan, author and negotiate protocols, build coalitions, secure the right internal approvals, and represent OpenAI in assigned technical forums. You will also help create repeatable processes that let the compa

Position Overview: The Entity Management Specialist for Diligent Entities will support the US compliance angle of the market-leading entity management solution. Working closely with the Principal Product Compliance Advisor, this role is responsible for translating US corporate compliance requirements into clear, actionable product requirements. The Analyst will focus on delivery: breaking down complex or ambiguous compliance problems into discrete, actionable requirements, running discovery, and producing detailed documentation the Product and Engineering teams can build against. This is a hands-on, execution-focused role rather than a strategic or external-facing one, with daily engagement across Product Management, Engineering, customers, and Customer Success. Key Responsibilities Support the Principal Product Compliance Advisor in ensuring Diligent Entities meets US corporate compliance requirements. Conduct discovery on US corporate compliance and filing requirements, breaking findings down into identifiable, actionable elements. Gather, document, and maintain detailed product requirements for US compliance-related features and changes. Translate regulatory and legislative detail into requirements that Product Managers and Engineering can act on and prioritise. Initially the successfully candidate will focus on US requirements, and the remit may expand to other jurisdictions over time. Track changes in US corporate compliance rules and filing requirements, flagging impacts to Diligent Entities. Work day-to-day with Product Management, Engineering, Customer Success teams, and customers directly to validate requirements and support delivery. Work directly within Diligent Entities to validate requirements against real platform behavior, drawing on hands-on product experience. Provide the US compliance perspective to internal stakeholders (Customer Success, Support, Training, Sales) as needed. Required Experience/Skills: 5+ years' experience as a corporate paralegal

Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies. The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences. This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies. What You’ll Do Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks. Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems. Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products. Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions. What We’re Looking For 2–3 years of professional software; AI engineering experience. Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models. Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications. Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. Own a