Internal AI Operations Engineer

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Swoogo

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $20M Series B on 2022-02

SaaS • B2B • Enterprise

Swoogo is an event management platform that offers a comprehensive solution for planning and executing various types of events, including in-person, digital, and hybrid events. It provides tools for registration, event marketing, logistics, data insights, and integrations with other business solutions. Swoogo is known for its customizable platform that supports seamless integration and flexibility, making it suitable for enterprises, tech companies, agencies, and more. The platform is designed to enhance attendee engagement and streamline event logistics while ensuring data security and compliance. Swoogo prides itself on offering excellent in-house support and cooperative tech ecosystems.

📋 Description

• Intake, prioritize, and execute internal AI tool requests from stakeholders across the org • Build and ship internal tools using AI APIs (Claude, OpenAI, etc.), MCP workflows, and modern deployment platforms (Vercel, GitHub) • Audit and document existing MCP integrations to identify which are reliable, which have data gaps, and which should be deprecated or improved • Establish best practices for how internal teams use AI tools, including security, credential management, token usage, and version control • Manage the full lifecycle of internal tools: scoping, building, deploying, credentialing, monitoring usage, and iterating based on feedback • Identify opportunities proactively rather than waiting to be assigned tasks, bringing a creative and strategic lens to where AI can drive the most impact • Collaborate with Engineering and Product to bridge gaps between internal tooling needs and platform capabilities

🎯 Requirements

• 3-5 years of experience • Built and shipped internal / external tools, automations, or AI-powered workflows in a SaaS, tech, or startup environment • Worked with AI APIs and LLMs (Claude, OpenAI, etc.) beyond just prompting, meaning you have integrated them into applications, managed API keys and token budgets, and handled authentication • Deployed applications using platforms like Vercel, Netlify, or similar, and managed code in GitHub with proper version control • Worked across multiple business functions (Sales, Ops, Marketing, CS) and translated their pain points into technical solutions • Demonstrated a portfolio of projects (personal or professional) where you solved complex problems using AI, showing tangible outcomes that would have traditionally required weeks of engineering effort • Managed competing priorities and stakeholder requests without a formal product org handing you a backlog • Worked with CRM and GTM tools like Salesforce and understanding how data flows (and breaks) between them • Acted as an excellent communicator, absorbing and understanding complex requirements, extrapolating the end goal and definition of success, and creatively exploring and building solutions • Possess strong interpersonal and training skills required to work hands-on with non-technical teams, ensuring they can easily adopt complex solutions, understand the underlying logic, and become self-sufficient in their use.

🏖️ Benefits

• Health insurance • Professional development opportunities