Role Description We are expanding our AI and automation initiatives and are seeking an experienced AI Automation Architect to help design, optimize, and implement scalable AI-driven operational solutions across the business. This role is ideal for someone who understands both technology and operations and can bridge the gap between business processes, automation strategy, AI tools, and scalable workflow design. You will work closely with leadership to identify operational opportunities, design intelligent workflows, improve efficiency, and help shape the future of AI-driven business operations across multiple departments and client environments. This is a highly collaborative role that requires strong communication skills, systems thinking, and hands-on experience working with AI tools, integrations, and workflow automation platforms. Key Responsibilities - Design and implement AI-driven workflows and automation systems - Architect scalable operational processes across internal and client-facing environments - Build and optimize workflow automations using AI and integration platforms - Identify opportunities to improve operational efficiency through AI and automation - Integrate systems, APIs, CRMs, and operational tools - Collaborate with leadership on AI strategy and implementation planning - Support automation initiatives across operations, reporting, compliance, customer service, and internal systems - Evaluate and recommend AI tools, platforms, and workflow improvements - Assist with solution design, process mapping, and implementation planning - Participate in strategic discussions, client meetings, and solution conversations where required Working Hours This role operates within EST working hours and requires consistent overlap with the U.S.-based leadership team. Compensation Compensation is competitive and dependent on experience, technical background, and overall fit for the role. Hiring Process Our hiring process is designed to identify candidates who can combine technical capability, operational thinking, and strong communication skills. The process includes: - Resume review and prescreen questionnaire - One-way video interview - Interview with leadership - Additional/final interview if required Please note: Only candidates who complete both the prescreen questionnaire and one-way video interview will be considered for progression in the hiring process. Requirements - Preferred Experience & Technical Background - Candidates should have experience with some or all of the following: - AI automation and workflow architecture - API integrations and connected systems - Workflow automation platforms - OpenAI and Claude ecosystems - Power Automate - Zapier - CRM systems and integrations - AI-assisted operational workflows - Business process optimization - Automation strategy and implementation - Operational systems design - Experience designing scalable business automation solutions in real operational environments is highly preferred. What We’re Looking For - Strong systems thinking and problem-solving ability - Ability to translate business needs into scalable automation solutions - Strong English communication skills, both written and verbal - Professional presence in meetings and collaborative discussions - Ability to work independently and drive initiatives forward - Comfort working in a fast-moving and evolving AI environment - Strong organizational and project coordination skills - Ability to explain technical concepts clearly to non-technical stakeholders

Role Description We are continuously looking for experienced professionals who want to support and guide our students on their path to becoming professional developers. This is a full-time teaching role with an expectation of 40 hours per week. The schedule can be flexible, but you must be consistently available to support students throughout their learning journey. What you will do - Mentor students through 1:1 video calls, addressing a wide range of questions, clarifying complex concepts, and helping students navigate their assignments. - Support students in live “Q&A style” sessions, where they can walk in with immediate questions. - Host webinars and other group educational events, covering program content, extracurricular skills, and industry knowledge. You may also participate in non-educational sessions such as New Student Orientation. - Review and assess student projects in alignment with program standards and best practices, providing clear, constructive feedback. - Engage with students on the TripleTen Hub, offering written guidance and supporting ongoing communication. - Share your professional expertise and best industry practices to equip students with relevant insights and strategies for their careers. - Create and curate educational resources within the TripleTen Hub to enhance student learning and make knowledge more accessible. - Foster a collaborative learning community by encouraging student interaction, building a sense of belonging, and cultivating a network of shared knowledge and mutual support. - Host Mock Technical Interviews providing constructive feedback on both their technical responses and interview skills. Requirements - 3+ years of hands-on experience identifying opportunities for automation and designing solutions to optimize business processes—ideally within the marketing, tech, or customer success. - Solid understanding of business process improvement, with a working knowledge of how AI and automation can streamline workflows and boost efficiency. - Comfortable providing constructive and actionable feedback to junior professionals or students. - Ideally experienced in presentation coaching, mentoring, or guiding others in their professional development. - Clear and confident communicator who can explain technical or complex concepts in a simple and engaging way. Nice to have - Experience working directly with stakeholders or clients to identify needs, pitch solutions, and drive adoption of automation tools. Benefits - Training in mentoring and communication techniques. - The opportunity to teach while continuing your main job. - The chance to share knowledge and experience with developers within our community. - Cross-cultural collaboration experience through mentoring and webinar facilitation. - Remote collaboration with a schedule that is convenient for both you and the team. We do not focus on micromanagement. - A comfortable digital office environment. We use modern digital tools such as Miro, Notion, Zoom, and others to ensure smooth collaboration. - A diverse and close-knit team distributed across the U.S. and Latin America.

• Own Automated Enforcement Quality: Serve as a strategic owner for enforcement outcomes across AI-driven systems. You will diagnose underperformance and make go/no-go recommendations on when models are ready for production. • Translate Policy Into Models: Act as the primary “policy-to-model” translator. You’ll craft prompts, define evaluation criteria, and curate high-quality datasets (“golden sets”) that teach models to distinguish between contextual debate and policy violations. • Guide Model Evolution: Monitor enforcement performance over time, identifying concept drift, policy changes, or emerging threats that require retraining, prompt updates, or evaluation redesign. • Surface Blind Spots: Develop monitoring strategies for niche communities, edge cases, and emerging behaviors to ensure enforcement systems reflect Reddit’s diversity and complexity. • Safeguard Model Integrity: Flag risks, escalate incidents, and recommend rollbacks or mitigations when automated systems fall below quality or safety thresholds, in partnership with ML and Product stakeholders.

• Operate autonomously to evaluate digital merchant tools and provide structured business data. • Independently testing newly deployed platform features, digital storefront tools, or AI recommendations designed for local business management and customer engagement. • Reviewing AI-generated business summaries, search visibility responses, and mapping integrations to verify empirical accuracy against actual business operations. • Providing comprehensive, audit-ready feedback detailing platform usability, relevance of digital tools, and practical day-to-day utility for local merchants. • Identifying and documenting specific instances where models misinterpret business categories, service offerings, operational hours, or local market nuances.