Ai Product Builder

Improvado; México; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

PTO 20 days per year

Professional development reimbursement

US holidays

Job summary

Improvado is seeking an AI Product Builder to own a product area end-to-end, shaping the roadmap while collaborating with engineering, BI, and customers. You will build with AI, decide what gets recommended to different personas, and run customer discovery to refine the product strategy.

You will work in a remote-first environment, overlap US Pacific hours, and contribute to a fast-moving team with a modern AI tech stack.

Qualifications

• Strong SQL and Python for data processing and automation.
• Experience with AI tools and building AI-driven features (e.g., Claude).
• Ability to own a product area end-to-end with minimal hand-off.
• Fluent English and comfort with customer calls and escalations.

Responsibilities

• Own the product area end-to-end from idea to delivery and roadmap.
• Define metrics and build automated AI-driven workflows.
• Collaborate with engineering, BI, and CSM on architecture and data requirements.
• Run customer discovery and translate insights into roadmap decisions.
• Work hands-on with AI from mockups to production code for smaller features.

Skills

SQL

Python

English fluency

Product ownership

Tools

BigQuery

Snowflake

Superset

Claude

Job description

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 own one product area end to end.

Which area depends on where we need you most, and the work is the same in all of them.

Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there.

Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted.

You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing.

Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualities Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers.

What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will 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