AI Automation Engineer
- Same title, closed before
- ×1
- Market p25–p75
- $26k–$93k
- Jobgether p25–p75
- $22k–$117kn=3
- Opened · 30d
- +3,188
- Closed · 30d
- −2,667
- Opened · 7d
- +2,5137% of open
- All software engineering
- 75,363open
Accountabilities
- Systems Integration: Design, develop, and maintain integrations between Salesforce, HubSpot, and internal business systems using REST APIs to ensure reliable communication and seamless data exchange.
- Workflow Automation: Build, configure, and manage n8n automation workflows for data synchronization, enrichment, lead routing, and other business-critical processes.
- Python Development: Develop and maintain Python scripts for data processing, workflow automation, system integrations, and operational efficiency improvements.
- AI-Powered Solutions: Design and implement intelligent internal tools and applications using AI technologies and APIs from platforms such as Claude and OpenAI.
- Database Management: Develop and maintain database-backed applications, dashboards, and reporting tools to support business intelligence and operational decision-making.
- Data Synchronization and Transformation: Ensure accurate, consistent, and efficient data flow across multiple platforms by developing reliable transformation and synchronization processes.
- End-to-End Project Ownership: Manage technical projects throughout their lifecycle, from requirements gathering and solution design to development, deployment, monitoring, and continuous improvement.
- Cross-functional Collaboration: Work closely with business stakeholders and internal teams to understand operational challenges and translate business requirements into effective technical solutions.
- System Reliability and Optimization: Monitor integrations and automated workflows, identify performance issues, troubleshoot errors, and implement improvements to maintain system reliability and scalability.
Requirements
- 5–6 years of professional experience in software engineering, data engineering, automation engineering, systems integration, or a related technical field.
- At least 2 years of experience working in Revenue Operations (RevOps), Go-to-Market (GTM) operations, or business systems engineering.
- Strong proficiency in Python programming, including experience developing automation scripts and data processing solutions.
- Proven experience designing, developing, and maintaining REST API integrations across multiple platforms.
- Hands-on production experience building and managing automation workflows using n8n.
- Practical experience developing AI-powered applications and tools using OpenAI or Claude APIs.
- Strong SQL and database management skills, with experience working with PostgreSQL, MySQL, BigQuery, or similar database technologies.
- Familiarity with Salesforce and HubSpot data models, integrations, and business workflows.
- Knowledge of development and deployment tools and practices, including Git, Docker, environment management, and application deployment.
- Understanding of data synchronization, transformation, and integration architecture across business applications.
- Ability to independently manage technical projects from requirements gathering and solution design through production deployment.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex integration and automation challenges.
- Excellent communication and collaboration skills, with the ability to understand business needs and translate them into practical technical solutions.
- Self-motivated and proactive approach, with strong ownership, organizational skills, and attention to detail.
Benefits
- Competitive compensation package.
- Fully remote working environment, offering flexibility in your work location.
- Opportunity to make a meaningful contribution to scientific research and education through innovative technology and automation solutions.
- Collaboration with international teams in an environment that encourages innovation, creativity, and knowledge sharing.
- Opportunities for professional development and career advancement through a strong internal promotion culture.
- Exposure to modern AI technologies, automation platforms, cloud-based systems, and business integration tools.
- Opportunity to take ownership of impactful technical projects and develop scalable solutions that improve business operations.
How Jobgether works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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