AI Operator Lead Engineer

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.  Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.   AI Operations Lead (AI Engineer, Marketing OS) About PTC PTC (NASDAQ: PTC) is a global industrial software company that enables manufacturers to transform how they design, make, operate, and service products. Our solutions are used by some of the world's leading companies across aerospace, automotive, electronics, medical devices, and industrial manufacturing. As a leader in digital transformation, PTC is investing in next-generation technologies, including artificial intelligence, automation, and cloud-native platforms, to drive innovation internally and for our customers. About the Team You'll join the AI Infrastructure team within Growth Marketing, working across industry and vertical marketing, demand generation, product marketing, customer marketing, brand and communications, and marketing operations. Our mandate is to rebuild how marketing work gets done — moving from documents and manual handoffs to data, AI agents, and automated workflows. As one of the first hires on this team, you will help define and scale AI-powered marketing operations across the organization. Position Summary PTC is seeking an Agentic Operator to design, build, deploy, and scale the AI-powered systems that run GrowthOS. You will partner with marketers, business stakeholders, and technical teams to identify automation opportunities, build intelligent workflows, and enable teams to operate more efficiently through AI-enabled tools. You will work directly with end users — embedding with marketing teams to understand their workflows, translate business challenges into technical solutions, and build systems that automate repetitive work so marketers can focus on strategy, judgment, and customer engagement. Key Responsibilities AI Agent Development & Architecture Design and build AI-powered workflows and agent-based systems supporting marketing operations Build reusable agent architectures — skills, tools, memory, orchestration, evaluation frameworks, and guardrails Maintain prompt libraries, workflow templates, and automation frameworks Evaluate emerging AI technologies and recommend adoption opportunities Workflow Automation & Orchestration Build and maintain workflow automation using orchestration platforms such as n8n, Zapier, Make or Claude Code Design end-to-end processes connecting data, AI agents, and business systems Develop automation frameworks that scale across marketing functions Enterprise Integrations Integrate AI-powered solutions with Salesforce, Eloqua, SiteCore, and internal data platforms Build MCPs, APIs, connectors, and automation frameworks supporting data-driven decisions Ensure data quality, reliability, security, and scalability AI Quality, Governance & Observability Establish monitoring, logging, evaluation, and reporting for AI-powered systems Build validation frameworks and quality controls for reliable outputs Build governance mechanisms supporting compliance, brand integrity, and auditability Identify system failures, regressions, and improvement opportunities Change Management & Enablement Partner with marketing teams to understand business objectives and challenges Train and coach users on AI-enabled workflows and tools Drive adoption and long-term utilization of AI solutions Document processes, playbooks, and best practices to support scalability What to Send Us Resumes are welcome, but the strongest signal is evidence. With your application, please include any of: Links to agents, tools, or workflows you've shipped (production, not demos) A short write-up of a system you built that others came to depend on — what you built, what broke, what you learned A GitHub repo, a Loom, or a live link we can review The shortest possible answer to: what's the most boring marketing workflow you could automate end-to-end this week? Qualifications Required Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience 5+ years of software engineering experience 2+ years hands-on experience building and deploying production AI or LLM-powered applications Strong Python development experience Experience with LLM APIs (Anthropic Claude, OpenAI GPT, Gemini, etc…) Experience with workflow automation/orchestration platforms (n8n, Airflow, Temporal, Zapier, or comparable) Experience integrating enterprise applications, including CRM, marketing automation, and business systems Strong understanding of prompt design, evaluation methodologies, and production AI operations Excellent communication and stakeholder management skills Preferred Experience designing and deploying multi-agent systems Knowledge of agent orchestration frameworks, MCP, and tool-use architectures Experience implementing retrieval-augmented generation (RAG) Familiarity with MLOps, evaluation frameworks, and AI observability platforms Experience building internal platforms or tools with measurable organizational adoption Experience in marketing technology, marketing operations, or demand generation Experience implementing AI governance, validation, and audit-trail frameworks What Success Looks Like Agents live and running for priority verticals, with speed and quality gains measurable against baseline Net-new campaign delivery time reduced from months to weeks Marketing teams successfully adopting and expanding AI-driven workflo