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Improvado is an AI-powered platform for marketing teams at medium to large enterprises and agencies, automating complex marketing intelligence and reporting. The platform gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping teams 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.
This role combines hands-on engineering with product strategy. You'll work directly with clients and engineering teams, taking problems end-to-end with minimal hand-holding. The team is remote-first, AI-first, and collaborative, with a focus on outcomes over hours. You'll have high autonomy and ownership, constantly learning and scaling your skills in a high-velocity environment.
The company offers a modern AI tech stack with freedom to experiment, optional relocation assistance to Latin America after the trial period, 20 working days of PTO per year, US holidays and additional days off, and professional development reimbursement.
REQUIREMENTS:
- Demonstrated experience applying AI tools to automate analytics or data workflows (Claude Code, prompt engineering, agentic coding)
- Proven product ownership/product management experience—able to take problems end-to-end with minimal hand-holding
- Marketing or revenue data domain experience; marketing optimization experience highly preferred
- Experience building and scaling AI agents and making them reliable
- Strong SQL skills required; dbt or similar transformation-tooling experience strongly preferred
- Experience troubleshooting production data pipelines and resolving data quality issues
- Availability to work full Pacific Time (PST) hours
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 (e.g., Superset) for operational reporting
