AI Product Builder

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