The Role
Build and extend marketing analytics infrastructure: develop data models and attribution systems, design and deploy LLM-based agents, create end-to-end automation pipelines and integrations, and deliver Slack bots and tooling to enable non-technical marketers to access AI-driven analysis.
Summary Generated by Built In
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a Marketing Analytics Engineer to take ownership of the next phase of this infrastructure. The foundation is in place. Your job is to extend it building new data models and the agents, wiring autonomous pipelines, and delivering AI-powered systems that directly improve how marketing decisions are made.
Responsibilities
- Development of marketing data models for use in AI and reporting
- Improve attribution and new attribution model releases
- AI agent development design, build, and improve specialist AI agents covering channel performance, budget allocation, media monitoring, user quality, and competitive intelligence
- Automation pipelines, end-to-end automations connecting data sources, AI models, and marketing tools
- Slack bot and internal tooling, natural language access to AI analysis for the wider marketing team
Requirements
- Solid background in marketing data and attribution
- Experience SQL databases and Python
- Experience with LLMs (prompt engineering, agent design) and workflow automations (n8n or similar tool)
- Experience with APIs/integrations
- Ability to work independently
- Previous experience with Airflow and/or dbt
Nice to have skills:
What success looks like in the first 6 months
- Multiple new agents or automations are live and actively used by the marketing team
- Key reporting and alerting workflows run autonomously without manual triggering
- Marketers across the team can access AI-powered analysis without needing technical access
- You have measurably reduced manual reporting and decision-support time for the team
What you will get in return
- Competitive compensation
- A generous paid leave policy, supporting a healthy work–life balance
- Two additional paid days per year dedicated to volunteering and giving back
- Private medical insurance for your peace of mind
- An additional flexible benefits budget, allowing you to tailor benefits to your needs
- Flexible working mode
- The opportunity to work from almost anywhere in the world for up to 30 days per year
- Annual company-wide events held in locations around the globe
- In-office massages to support wellbeing
- A brand-new, vibrant office environment
Skills Required
- Solid background in marketing data and attribution
- Experience with SQL databases
- Experience with Python
- Experience with LLMs (prompt engineering, agent design)
- Experience with workflow automations (n8n or similar tool)
- Experience with APIs/integrations
- Ability to work independently
- Experience with Airflow and/or dbt
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The Company
What We Do
Capital provides software that enables founders to raise, hold, spend, and send funds all in one place. Capital has evolved its flagship fundraising tool (formerly known as Party Round) to provide founders with banking solutions that streamline their startups.
