Fractional Ai and Hubspot Automation Developer

UPWORK JOB POSTING Fractional AI & HubSpot Automation Developer Project | Part-Time | Remote HubSpot API Make.com / n8n Claude / OpenAI API Python or JavaScript Who We Are We are a B2B SaaS company. We run HubSpot Marketing Hub Professional and Sales Hub Professional as our CRM and revenue platform. What We Are Building Project 1 — Form Submission Classification Agent (Start Here) This is the first project and the one we want to move on immediately. We have a serious data quality problem caused by non-sales submissions polluting our HubSpot CRM — job applicants, existing customers seeking support, and internal staff using our sales forms incorrectly. This corrupts our MQL counts, and distorts our reporting. What we need built: a webhook-triggered agent that intercepts every HubSpot form submission, sends the data to the Claude API for classification, and routes it based on the result — genuine sales leads pass through to CRM as normal, everything else gets redirected or quarantined before it touches our data. Deliverables: working Make.com or n8n workflow, Claude API prompt with structured JSON output, HubSpot workflow integration, and a simple dashboard or log showing classification decisions for audit purposes. We want to review every classification for the first two weeks before switching to fully automated mode. The Broader Roadmap — What Comes After We are sharing our full roadmap to the right candidate Strong performance on Project 1 leads directly into these: Skills Required — All Four Are Mandatory We are not looking for a generalist. We need someone with demonstrated hands-on experience in all four of these areas: HubSpot API You have built real integrations using the HubSpot API — not just used HubSpot as a user. You understand webhooks, contact properties, workflows, and the data model. Make.com or n8n You build complex multi-step automations, not beginner workflows. You know how to handle errors, retries, and conditional logic. LLM / AI APIs You have built production systems using Claude, OpenAI, or similar APIs. You know how to write reliable structured prompts, handle JSON outputs, manage token costs, and build error handling. Python or JavaScript Some of what we are building requires custom code. Zapier-only experience is not sufficient. What a Strong Candidate Looks Like They have built a HubSpot integration that involved external API calls — not just internal HubSpot automations Has used Claude or OpenAI API to build something that produced structured JSON output used downstream in a workflow Can explain the difference between a prompt that reliably produces structured output and one that does not Asks clarifying questions before estimating — does not say yes to everything immediately Communicates clearly in English and can translate business requirements into technical solutions independently Is comfortable working async and providing brief weekly progress updates without being micromanaged Engagement Structure Type Project-based to start, with strong potential for ongoing retainer Hours Flexible — scoped per project, we are not prescribing hours upfront Location Open to all regions globally — English communication required Duration First project is defined below. If the working relationship is strong, we expect this to become a long-term engagement across a multi-project roadmap Communication Async-first with availability for a weekly or bi-weekly sync call First Project Form Submission Classification Agent (full brief provided to shortlisted candidates) Rate Please state your hourly How to Apply — Read This Carefully We will not respond to generic applications. To be considered, your proposal must answer the following three questions specifically: Question 1: Describe a HubSpot integration you built that involved an external API or webhook. What was the trigger, what did it do, and what was the business outcome? Question 2: Describe a system you built using Claude, OpenAI, or another LLM API where the AI returned structured data (e.g. JSON) that was used downstream in an automation. How did you handle cases where the AI returned malformed or unexpected output? Question 3: Our first project is a form submission classifier. Every time a HubSpot form is submitted, we want an AI agent to read the submission and decide if it is a genuine sales lead, a support request, a job applicant, or internal misuse — then route it accordingly. In 3-5 sentences, describe how you would architect this. What tools would you use and why? Applications that do not answer all three questions will not be reviewed. We are looking for a long-term partner, not the fastest or cheapest proposal. Paid Test Project Before committing to Project 1, we will ask shortlisted candidates to complete a small paid test. This will be approximately 3-5 hours of work compensated at your stated rate. The test will involve building a Make.com or n8n workflow that receives a simulated HubSpot form submission via webhook, sends it to t Apply tot his job Apply To this Job