greenlight-workforce-solutions - AI Operations Engineer / Workflow Automation Lead
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Requirements
• Support scalable global operations • We value speed, pragmatism, and people who can ship without perfect specs. • Small team, fast decisions, minimal bureaucracy. • This role will have direct influence over that direction from the beginning. • WHAT YOU’LL WORK ON • Examples of projects include: • AI-powered workflow automation • Intelligent onboarding and support systems • Internal AI assistants for operations and compliance teams • AI-driven client and worker support experiences • Knowledge retrieval and operational tooling • Agentic workflows and multi-step reasoning systems • AI integrations across platform operations and customer workflows • Experience building workflow automation and AI-assisted operational systems in production • Strong understanding of: • OpenAI / Anthropic APIs • Workflow orchestration and automation • Systems integrations and API connectivity • Retrieval-augmented generation (RAG) • Internal tooling and operational systems • n8n, LangChain, Zapier, Make or, similar orchestration and automation platforms • Strong technical problem-solving skills and ability to ship quickly • Ability to work independently in a fast-moving environment • AI assistants • Agentic workflows • Operational automation systems • B2B SaaS products • Experience in startup or fast-moving environments • Strong product and operational instincts and ability to operate with limited structure • WHAT SUCCESS LOOKS LIKE • Within the first 60–90 days, you will have: • Shipped production AI workflows used internally by the team • Automated operational processes that currently require manual coordination • Built AI tooling that materially improves scalability and responsiveness • Integrated systems and workflows across operations, customer success, and finance • Helped shape the foundation of GreenLight’s AI strategy and product direction • HOW WE EVALUATE CANDIDATES • We care far more about what you’ve built than formal credentials. • We look for people who: • Build practical systems • Make smart tradeoffs • Can turn ideas into working products rapidly • Think like builders and operators • Please include: • Links to projects, automations, products, or demos • Short explanations of your contributions • Examples of workflow automation or AI-assisted operational systems you’ve built • n8n / Zapier / Make / LangChain • Python / Node.js • APIs and systems integrations • Vector databases / retrieval systems • Cloud infrastructure and API integrations • THIS ROLE IS PROBABLY NOT A FIT IF YOU PREFER: • Heavy process and large teams • Pure research environments • Long planning cycles before shipping • Narrowly scoped implementation work • Roles focused primarily on model training or ML research
Benefits
• GreenLight is actively evolving into a more AI-native platform and operational model. • Over the next 6–12 months, AI will become deeply integrated into: • workflow automation • onboarding and operational tooling • support systems • internal knowledge and retrieval systems • operational decision workflows • High ownership and direct impact • Ability to shape core product direction • Direct access to leadership • Opportunity to build meaningful AI systems in a real operational environment • Small, fast-moving team with quick decision-making • Compensation is flexible based on experience, structure, and level of ownership. • We care most about finding the right builder to help shape and execute this next phase of the company.
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