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Improvado is an AI-powered unified platform for marketing teams at medium to large enterprises and agencies. The platform automates complex marketing intelligence and reporting, gathering and organizing marketing data to deliver instant insights through BI and AI capabilities. The company helps eliminate data complexity, optimize budgets, enhance campaign efficiency, and improve marketing ROI.
As an AI Product Builder, you will own products end-to-end, from conception through delivery. You'll define and evolve the product roadmap, build and maintain data pipelines, collaborate with engineering teams on priorities, run marketing optimizations, and ship features. Key responsibilities include building and maintaining automated analytics workflows using AI tools and the modern data stack, troubleshooting and resolving production data pipeline issues (including direct client-facing escalations), identifying opportunities to replace manual processes with scalable AI-driven solutions, and collaborating with Product, BI, and CSM/TCS teams on architecture decisions and client data requirements.
The role offers a remote-first environment with optional relocation assistance to Latin America after the trial period. You'll work with a high-velocity, technically strong international team in an AI-first, collaborative culture with minimal bureaucracy. The company has strong product-market fit in the marketing data space for US-based enterprises and uses a modern AI tech stack with freedom to experiment. Benefits include 20 working days of PTO per year, US holidays, and professional development reimbursement.
REQUIREMENTS:
- Demonstrated experience applying AI tools to automate analytics or data workflows (Claude Code, prompt engineering, agentic coding to accelerate development, write tests, optimize complex problems, and ship faster)
- Proven product ownership/product management experience with ability to take problems end-to-end with minimal hand-holding
- Strong SQL skills required
- Experience troubleshooting production data pipelines and resolving data quality issues
- Availability to work full Pacific Time (PST) hours
- Marketing or revenue data domain experience and experience with marketing optimization (highly preferred)
- Experience building and scaling AI agents with ability to make them reliable
- dbt or similar transformation-tooling experience (strongly preferred)
NICE TO HAVE:
- Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse)
- Python for data processing and automation
- Experience working directly with clients on technical requirements
- BI tools experience (e.g., Superset) for operational reporting
