Data Product Owner

10 октября 2026 г.

Удалённо

Senior

Ещё стоит знать

Английский обязателен

Описание

Improvado is an AI-powered unified marketing data platform for enterprises and agencies that automates marketing intelligence and reporting. The role sits within the Transformation Team, which owns SQL DataMarts, custom pipelines and analytics products such as MarTech Recipes, Attribution/MMM and DataPrep. As Senior Product Owner/Analyst you own technical delivery on complex client accounts, write data transformation logic and apply AI to solve complex technical problems hands-on.

Обязанности

Drive the product roadmap and end-to-end delivery on complex client implementations: SQL DataMarts, custom pipelines, MarTech Recipes, Attribution and DataPrep
Partner with the engineering team to design, prioritize and ship new product features while refining existing logic
Focus on marketing data optimization: attribution models, campaign tracking and funnel performance to drive client results
Build and maintain automated analytics workflows using AI tools, scripting and the modern data stack with dbt
Troubleshoot, debug 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
Contribute to SOPs and documentation for transformation processes

Требования

Demonstrated experience applying AI tools such as Claude Code, prompt engineering and agentic coding to automate analytics or data workflows
Proven product ownership or product management experience, able to take a problem end-to-end with minimal hand-holding
Experience building and scaling an AI agent and ability to make it reliable
Strong SQL skills required, with dbt or similar transformation-tooling experience strongly preferred
Hands-on ETL/ELT pipeline experience with BigQuery, Snowflake, Redshift or ClickHouse is nice-to-have
Experience troubleshooting production data pipelines and resolving data quality issues
Marketing or revenue data domain experience
Availability to work full US Pacific Time (PST) hours with future relocation to Latin America
Fluent English, able to have client calls
Python for data processing and automation is nice-to-have
Experience working directly with clients on technical requirements
BI tools such as Superset for operational reporting

Условия

Remote-first environment
Optional relocation assistance to Latin America after your trial period
Modern AI tech stack and freedom to experiment
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 plus US holidays and additional days off
Professional development reimbursement

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