• Managing and improving HubSpot workflows, automations, and systems • Building and optimizing pipelines, sequences, forms, dashboards, and reporting • Improving onboarding, accountability, and member communication workflows • Streamlining operational processes across the Coaching department • Building automations that reduce manual admin work • Supporting integrations between HubSpot and other platforms • Maintaining accurate reporting and operational visibility • Troubleshooting tech and workflow issues • Testing AI tools and smarter ways of operating

Role Description We are looking for an AI Automation & Systems Specialist to help accelerate internal automation initiatives across multiple business functions including operations, finance, HR, and marketing. This role is heavily execution-focused and ideal for someone who understands how to design and implement practical AI-powered workflows using modern automation tools and AI models. The successful candidate will work closely with internal leadership and engineering teams to translate business requirements into scalable automation systems. This is not a traditional software engineering role. We are specifically looking for someone with strong automation architecture and systems thinking capabilities who understands how to build efficient workflows while optimizing AI usage and operational costs. - Design and implement AI-powered automation workflows - Build scalable automation systems using tools such as N8N - Integrate SaaS platforms and internal systems through APIs and workflow orchestration - Work closely with internal stakeholders to gather automation requirements and identify manual process improvement opportunities - Collaborate directly with engineering and operations leadership on solution design and execution - Optimize AI usage and token consumption across workflows to maintain cost efficiency - Assist with automation architecture planning and workflow scalability - Maintain and improve existing automation systems as business needs evolve Qualifications - 2–3 years of experience in automation systems, workflow design, or AI operations - Strong experience with N8N or similar workflow automation platforms - Familiarity with AI models and ecosystems including OpenAI, Claude, and Gemini - Experience integrating APIs, SaaS platforms, and operational systems - Strong systems thinking and workflow architecture capabilities - Ability to translate operational/business requirements into technical automation solutions - Understanding of AI token optimization and cost-aware automation design - Strong communication and collaboration skills Requirements - Basic scripting knowledge - Experience with MAKE or Zapier - Experience working with internal operational automation systems - Experience supporting cross-functional teams - Exposure to AI workflow optimization and prompt engineering Benefits - In addition to a market competitive compensation, we have a reward philosophy that expands beyond this. - Fully remote - Opportunity to work with a truly global team - Flexible timings. You decide your work schedule

• Main deliverable: v1 of the continuous performance management system, live across the full team of 38, with a monthly grade refresh and individual dashboards. • Finalize the three axes (results / skills and AI leverage / teamwork), their weights, scales, and the thresholds for moving between A, B, and C. Build on our current ABC framework, don't start from scratch. • Map out where the system pulls data for each axis. What gets collected automatically (Notion, Slack, GitHub, analytics, OKR tracking), what comes from managers, what comes from peer reviews. Keep manual input to a minimum. • Design the monthly loop: what runs automatically, what needs a manager's confirmation, and how each person sees their grade and track. • Dashboards. For the individual (my grade, my track, what to work on). For the manager (my team, who we're growing, who we're parting with). For C-level (TDI, A-player density by competency, risks). • Templates for individual plans. B to A with measurable criteria and an ETA. C to A with performance based and time based boundaries. No fuzzy language. • Run a pilot on two competencies (for example, Engineering and Product), collect feedback, refine, and roll out to the full team.

• Design and own the outcome of the continuous performance management system. • Finalize the three axes (results / skills and AI leverage / teamwork), their weights, scales, and thresholds for moving between A, B, and C. • Map out where the system pulls data for each axis (e.g., Notion, Slack, GitHub). • Design the monthly loop including what runs automatically and how each person sees their grade and track. • Create individual dashboards for tracking performance and grade while providing templates for individual plans. • Conduct a pilot on two competencies, collect feedback, refine, and roll out to the full team.