About the role
Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
As an AI Product Builder, you'll own a product end to end. You'll build data pipelines and do hands-on engineering, shape the product roadmap, work directly with clients and engineering teams, run marketing optimizations, and ship features.
Responsibilities
Own the product end to end, from idea to delivery, define the product roadmap and how it evolves
Build and maintain data pipelines
Collaborate with engineering teams on priorities and delivery
Run marketing optimizations
Ship features
Build and maintain automated analytics workflows using AI tools, scripting, and modern data stack
Troubleshoot and resolve production data pipeline issues, including direct client-facing escalations
Identify opportunities to replace manual processes with scalable, AI-driven solutions
Collaborate with Product, BI, and CSM/TCS teams on architecture decisions and client data requirements
Qualifications
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
Product ownership/ product management proven experience — able to take a problem end-to-end with minimal hand-holding
Marketing or revenue data domain experience, experience with marketing optimisation - highly preferred
Experience building and scaling an AI agent and ability to make it 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
What We Offer
Remote-first environment
Optional relocation assistance to Latin America after your trial period
Strong product/market fit: marketing data product for US-based enterprises
Modern AI tech stack and freedom to experiment
High-velocity team where you'll constantly learn and scale your skills
High autonomy and ownership — we care about outcomes, not hours
AI-first, collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Originally posted on Himalayas