{"workflow":{"id":14101,"name":"Send personalized data engineer hiring emails with PredictLeads, OpenAI and Gmail","views":117,"recentViews":2,"totalViews":117,"createdAt":"2026-03-17T06:10:32.913Z","description":"Find companies hiring data engineers, enrich them with tech stack data from PredictLeads, and send AI-personalized service offering emails.\n\nThis workflow takes a target company domain, queries PredictLeads for data engineer job openings, enriches each result with company info and technology stack data, then uses OpenAI to generate a personalized outreach email that references the company's current tools (e.g., \"I see you're on Snowflake and looking for pipeline engineers\").\n\nHow it works:\n1. Schedule trigger runs the workflow daily at 8 AM.\n2. Sets the target company domain to query.\n3. Fetches data engineer job openings from PredictLeads for that domain.\n4. Loops through results and enriches each company with PredictLeads company data.\n5. Fetches the company's technology stack from PredictLeads Technology Detections API.\n6. Builds a personalized prompt combining company info, industry, and detected tech stack.\n7. Sends the prompt to OpenAI to generate a tailored outreach email.\n8. Sends the email via Gmail with a personalized subject line.\n\nSetup:\n- Set the target domain in the \"set domain\" node (default: stripe.com).\n- Connect your Gmail account (OAuth2) for sending outreach emails.\n- Add your OpenAI API key in the Generate Personalized Email HTTP Request node.\n- Add your PredictLeads API credentials (X-Api-Key and X-Api-Token headers).\n\nRequirements:\n- Gmail OAuth2 credentials.\n- OpenAI API account (uses gpt-4o-mini, ~$0.003-0.008 per call).\n- PredictLeads API account (https://docs.predictleads.com).\n\nNotes:\n- Change the domain in the Set node to target different companies, or connect a Google Sheet for batch processing.\n- The AI prompt references the company's tech stack for maximum personalization.\n- PredictLeads Job Openings, Company, and Technology Detections API docs: https://docs.predictleads.com\n","workflow":{"id":"JSbfaa3mtNzMLYXT","meta":{"instanceId":"YOUR_INSTANCE_ID","templateCredsSetupCompleted":true},"name":"Data Engineer Hiring Personalized Email with PredictLeads","tags":[],"nodes":[{"id":"0994f250-29af-4dba-b32c-0616c6818b05","name":"About This Workflow","type":"n8n-nodes-base.stickyNote","position":[-80,0],"parameters":{"color":4,"width":420,"height":400,"content":"ABOUT THIS WORKFLOW\n\nFinds companies hiring data engineers, enriches them with tech stack data from PredictLeads, and sends AI-personalized service offering emails.\n\nSetup: PredictLeads API, OpenAI API key, Gmail OAuth2.\n\nUse case: A data consultancy finds companies that posted data engineer roles, then sends them a tailored pitch referencing their current stack (e.g., \"I see you're on Snowflake and looking for pipeline engineers\").\n\nPredictLeads API: https://predictleads.com\nQuestions: https://www.linkedin.com/in/yaronbeen"},"typeVersion":1},{"id":"09f381c9-4081-49fc-8454-f6e89ee47de8","name":"📋 Trigger & Discovery","type":"n8n-nodes-base.stickyNote","position":[416,-336],"parameters":{"color":5,"width":640,"height":712,"content":"## ⏰ Trigger & Job Discovery\n\n**Nodes:**  \n⏰ Daily Schedule → set domain → 🔍 Fetch Data Engineer Job Openings\n\n**Description:**  \nThe workflow starts on a daily schedule that automatically triggers the process.\n\nA domain is defined and used to query the PredictLeads API for **job openings related to “Data Engineer” roles**.  \nThis step identifies companies that are actively investing in data infrastructure or analytics capabilities.\n\nThese hiring signals act as strong indicators that the company may require external **data engineering services or support**."},"typeVersion":1},{"id":"422c5e63-31e9-44ba-aebb-0e25eb8ac5a4","name":"🔬 Enrichment","type":"n8n-nodes-base.stickyNote","position":[1120,-384],"parameters":{"color":5,"width":700,"height":792,"content":"## 🔍 Company Enrichment\n\n**Nodes:**  \n🔀 Split by Company → 🏢 Get Company Info → 💻 Get Technology Stack\n\n**Description:**  \nEach company identified in the job discovery step is processed individually.\n\nThe workflow enriches the company using PredictLeads data sources to gather additional context including:\n- Company profile information  \n- Industry and company size  \n- Current technology stack  \n\nThis enrichment step helps build a deeper understanding of the company’s technical environment and hiring needs, enabling more relevant outreach."},"typeVersion":1},{"id":"864a20ec-1360-4c35-a123-56866a2b6490","name":"🤖 AI Personalization","type":"n8n-nodes-base.stickyNote","position":[1904,-368],"parameters":{"color":5,"width":748,"height":776,"content":"## 🤖 AI Personalization & Outreach\n\n**Nodes:**  \n⚙️ Build Personalized Prompt → 🤖 Generate Personalized Email → 📧 Send Personalized Email\n\n**Description:**  \nA detailed prompt is created by combining company information, industry context, and the detected technology stack.\n\nOpenAI then generates a **personalized outreach email** tailored to the company’s hiring activity and current technical environment.  \nThe message references their tools (for example Snowflake or other data platforms) and proposes relevant services such as data pipeline development, data warehouse optimization, or analytics infrastructure support.\n\nFinally, the AI-generated email is automatically sent via Gmail with a personalized subject line, delivering targeted outreach to companies actively hiring data engineers."},"typeVersion":1},{"id":"92932612-99c4-4825-af59-821ada8f828d","name":"⏰ Daily Schedule","type":"n8n-nodes-base.scheduleTrigger","position":[480,160],"parameters":{"rule":{"interval":[{"triggerAtHour":8}]}},"typeVersion":1.2},{"id":"9e6b96ec-d5f9-4569-b12a-4d03babd6baa","name":"🔍 Fetch Data Engineer Job Openings","type":"n8n-nodes-base.httpRequest","position":[880,160],"parameters":{"url":"=https://predictleads.com/api/v3/companies/{{ $json.domain }}/job_openings","options":{},"sendQuery":true,"sendHeaders":true,"queryParameters":{"parameters":[{"name":"title","value":"data engineer"}]},"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"74d79b87-8988-4bb1-8840-8bb1f097a027","name":"🔀 Split by Company","type":"n8n-nodes-base.splitInBatches","position":[1216,160],"parameters":{"options":{}},"typeVersion":3},{"id":"70587664-5c2e-4e57-aca4-c0c2a2a06641","name":"🏢 Get Company Info","type":"n8n-nodes-base.httpRequest","position":[1424,176],"parameters":{"url":"=https://predictleads.com/api/v3/companies/{{ $('set domain').item.json.domain }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"dbc36738-26bc-41a5-bbcc-85dbd00a5458","name":"💻 Get Technology Stack","type":"n8n-nodes-base.httpRequest","position":[1632,176],"parameters":{"url":"=https://predictleads.com/api/v3/companies/{{ $('set domain').item.json.domain }}/technology_detections","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"X-Api-Key","value":"YOUR_PREDICTLEADS_API_KEY"},{"name":"X-Api-Token","value":"YOUR_PREDICTLEADS_API_TOKEN"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"d54afd86-8349-4075-af47-50adc5517d54","name":"⚙️ Build Personalized Prompt","type":"n8n-nodes-base.code","position":[2000,176],"parameters":{"jsCode":"const items = $input.all();\nconst results = [];\n\n// domain from Set Domain node\nconst domain = $('set domain').first().json.domain || '';\n\nfor (const item of items) {\n\n  const companyData = item.json.data || {};\n\n  // company name from domain (remove .com or any TLD)\n  const companyName = domain.split('.')[0];\n\n  const industry =\n    companyData.industry ||\n    'technology';\n\n  const size =\n    companyData.employee_count ||\n    'unknown';\n\n  const description =\n    companyData.description ||\n    '';\n\n  const technologies = item.json.data || [];\n\n  const techList = technologies\n    .map(t => t.name || t.technology_name)\n    .filter(Boolean)\n    .join(', ');\n\n  const cleanTech =\n    techList.length ? techList : 'not available';\n\n  const prompt = `You are a B2B sales expert specializing in data engineering services. Draft a personalized outreach email.\n\nContext:\nCompany: ${companyName}\nDomain: ${domain}\nIndustry: ${industry}\nCompany size: ${size}\nCompany description: ${description}\nTheir current tech stack includes: ${cleanTech}\n\nRequirements:\n- Subject line included\n- Mention their tech stack and how your services add value\n- Offer solutions like data pipelines, warehouse optimization etc.\n- Professional but friendly tone\n- Clear call-to-action for a short intro call`;\n\n  results.push({\n    json: {\n      company: companyName,\n      domain: domain,\n      industry: industry,\n      tech_stack: cleanTech,\n      prompt: prompt\n    }\n  });\n\n}\n\nreturn results;"},"typeVersion":2},{"id":"2b8624a1-b5cf-4c54-bc5a-5e52c4b417f2","name":"🤖 Generate Personalized Email","type":"n8n-nodes-base.httpRequest","position":[2224,176],"parameters":{"url":"https://api.openai.com/v1/chat/completions","method":"POST","options":{},"jsonBody":"={\n  \"model\": \"gpt-4o-mini\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a B2B sales expert specializing in data engineering services. Write concise, personalized outreach emails that demonstrate deep understanding of the prospect's needs.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": {{ JSON.stringify($json.prompt) }}\n    }\n  ],\n  \"temperature\": 0.7,\n  \"max_tokens\": 500\n}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Authorization","value":"Bearer YOUR_TOKEN_HERE"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.2},{"id":"9435379a-ff57-40e0-9e36-446d7bd48bbb","name":"📧 Send Personalized Email","type":"n8n-nodes-base.gmail","position":[2464,176],"webhookId":"bce889b7-f437-4718-8e1e-e3590bc54b0f","parameters":{"sendTo":"={{ $('⚙️ Build Personalized Prompt').item.json.domain.replace(/\\..*/, '') }}@example.com","message":"={{ $json.choices[0].message.content }}","options":{},"subject":"=Data Engineering Services for {{ $('⚙️ Build Personalized Prompt').item.json.company }}","emailType":"text"},"credentials":{"gmailOAuth2":{"id":"credential-id","name":"Gmail account"}},"typeVersion":2.1},{"id":"d7a8f631-9e7f-44c7-b10a-c82b0f5f7e18","name":"set domain","type":"n8n-nodes-base.set","position":[688,160],"parameters":{"options":{},"assignments":{"assignments":[{"id":"cc8d791d-6d76-4fca-96a7-ed1977ccd338","name":"domain","type":"string","value":"stripe.com"}]}},"typeVersion":3.4}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","availableInMCP":false,"executionOrder":"v1"},"versionId":"9042a879-c419-4493-b7d9-1275ac8b2360","connections":{"set domain":{"main":[[{"node":"🔍 Fetch Data Engineer Job Openings","type":"main","index":0}]]},"⏰ Daily Schedule":{"main":[[{"node":"set domain","type":"main","index":0}]]},"🏢 Get Company Info":{"main":[[{"node":"💻 Get Technology Stack","type":"main","index":0}]]},"🔀 Split by Company":{"main":[[],[{"node":"🏢 Get Company Info","type":"main","index":0}]]},"💻 Get Technology Stack":{"main":[[{"node":"⚙️ Build 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