S

Sonar

Code quality and security analysis tools

Marketing AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeGeneva, SwitzerlandNo salary listed

About the Job

Requirements

  • Have at least 3 years of experience in marketing operations, automation engineering, or a closely related role, with a track record of building workflows or automations that measurably improved team efficiency.
  • Have hands-on knowledge of marketing processes and tools, including customer relationship management (Salesforce), marketing automation, campaign operations, analytics, and content workflows.
  • Be experienced with no-code or low-code automation platforms such as Make, Zapier, or n8n, and be comfortable extending them with scripting when needed using Python and/or JavaScript.
  • Have working familiarity with artificial intelligence agent frameworks such as LangChain, Claude Agent SDK, or OpenAI Assistants, or demonstrate the ability and appetite to ramp quickly.
  • Be experienced integrating with third-party application programming interfaces and working with marketing data structures such as Salesforce, HubSpot, Google Analytics, and Marketo.
  • Have strong analytical skills and experience building performance dashboards and reporting for deployed automations.
  • Be able to explain automations and their value to non-technical stakeholders, and translate stakeholder requirements into precise technical specifications.
  • Hold a bachelor's degree in Marketing, Business, Computer Science, or a related field.

Responsibilities

  • Work closely with marketing teams to understand their day-to-day processes and identify where artificial intelligence agents and automated workflows can eliminate manual work, reduce errors, or unlock new capabilities.
  • Develop artificial intelligence agents and automated workflows to streamline marketing processes, including content production, campaign operations, reporting, lead routing, and personalization at scale.
  • Own the full lifecycle of deployed agents, from initial release through ongoing monitoring, debugging, and iteration, ensuring reliability and performance as usage grows.
  • Track and report workflow automation metrics, including time saved, error rates, throughput, and business impact, and deliver regular dashboards and summaries to marketing leadership.
  • Continuously evaluate new artificial intelligence models, agent frameworks, and automation platforms, and recommend what the marketing team should adopt, experiment with, or build on next.
  • Collaborate with the Marketing Tooling & AI Operations Manager to understand the existing tool stack, ensure automations integrate reliably with it, and drive adoption of new artificial intelligence-powered capabilities.
  • Design automations that handle marketing data responsibly, with attention to data quality, privacy, and auditability across deployed workflows.
  • Document deployed agents and workflows, and run internal enablement sessions to help the marketing team understand and use what has been built effectively.

About the Company

Sonar

Code quality and security analysis tools

SonarSource provides tools that help developers improve code quality and security. Its products include SonarLint (an IDE plugin that gives real-time feedback), SonarQube (a self-hosted code analysis and reporting platform), and SonarCloud (a cloud-based service with similar analysis and governance). The tools analyze code for bugs, vulnerabilities, and maintainability issues and offer guidance to fix them; SonarLint gives instant feedback in the IDE, while SonarQube and SonarCloud offer deeper analysis and dashboards for teams. The goal is to help teams keep code clean, secure, and reliable by supporting a broad, subscription-based suite used by thousands of organizations.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$457.1M
Headquarters
Vernier, Switzerland
Founded
2008

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