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Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.
Top Skills:
Ai-Powered Testing ToolsAirflowAWSAzureCadCometGithub ActionsGoogle Cloud PlatformGreat ExpectationsJenkinsMetaflowMlflowPythonPyTorchTensorFlowWeights & Biases
AdTech • Digital Media • Marketing Tech • Social Media • Software
The AI Automation Engineer will automate internal processes, mentor non-technical staff on building tools, and ensure solutions deliver measurable business impact using AI technologies.
Top Skills:
AIAPIsLlmsLow-Code PlatformsNo-Code Platforms
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves supporting integration and sales of Square's Developer Platform, collaborating with partners, and advising on solutions for sellers.
Top Skills:
Full-Stack DevelopmentRestful ApisSaaS
Our Mission
To help businesses work smarter, save time, and unlock human potential. Our vision is to empower millions of businesses worldwide with intelligent software that simplifies operations and drives real impact.
We are an innovative Workforce Management company headquartered in London, UK, with a fully remote team.
Our platforms Jibble.io, an award-winning time-tracking tool, and PayrollPanda.my, Malaysia’s leading cloud payroll solution serve thousands of paying customers globally.
About The Job
We’re growing fast and looking for an AI & Automation Engineer to transform the way we work internally. This is a hands-on role where you’ll design, build, and optimize automation workflows, integrations, and AI-powered tools that make our operations faster, smarter, and more reliable.
You’ll thrive if you enjoy solving complex problems, connecting systems, and creating solutions that scale across teams and processes.
What you will do:
- Automation & Integrations: Build, optimize, and maintain workflows with n8n and Make.com, integrating HubSpot, WordPress, Power BI, Jibble, and PostgreSQL.
- HubSpot Workflows: Manage workflows, maintain properties, ensure data hygiene, handle automated triggers, and connect HubSpot with internal and external tools via APIs or automation platforms.
- Data Work & Analytics: Query PostgreSQL via DBeaver, build/manage pipelines in Microsoft Azure & Fabric, and use Power BI for data transformation, reporting, and visualizations.
- Web & Scripting: Maintain and customize WordPress, handle front-end (HTML, CSS, JS) and back-end (PHP) adjustments, and build Python microservices (FastAPI, automation, data processing).
- AI Integrations: Build intelligent tools and microservices with OpenAI/LLM APIs, implementing AI automations like summarization, classification, and internal assistants.
Who we are looking for:
- Strong Python skills for automation, APIs, and data handling.
- Experience with n8n/Make.com or the ability to learn new automation tools quickly.
- Familiarity with HubSpot workflows, Power BI, and Azure/Fabric.
- Solid SQL skills (DBeaver) and front/back-end WordPress knowledge (HTML, CSS, JS, PHP, ACF, hooks).
- Experience with REST APIs, OAuth, FastAPI/Flask, or CI/CD pipelines (GitHub Actions) is a plus.
- Analytical, adaptable, and proactive, with excellent problem-solving skills.
- Clear communicator, highly organized, and experienced collaborating in remote teams.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
