AI Product Builder

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Improvado

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📣 Marketing

💼 Consulting

☁️ SaaS

💰 $22M Series A - Improvado on 2022-05

Marketing • Consulting • SaaS

Improvado is an AI-native SaaS platform that centralizes marketing and sales data, connecting 1,000+ sources to provide automated ETL/ELT/Reverse ETL, data transformation, and enterprise-grade data governance. Its conversational AI agent answers natural-language queries, builds dashboards on the fly, generates and runs experiments across ad platforms, and applies creative intelligence to analyze and generate ad variants. The platform targets marketing and analytics teams at enterprises and agencies, emphasizing no-code data pipelines, real-time insights, automated campaign validation, and compliance (SOC 2, GDPR, HIPAA support).

📋 Description

• Own one product area end to end, from idea to delivery, and define how the roadmap evolves • Close the gap between product reporting and customer action by deciding what gets recommended and to whom • Build feedback loops that improve recommendations over time • Work hands-on with AI, from mockups and prototypes through production code for smaller features • Work alongside an engineering team of three to ten people • Run customer discovery and turn findings into roadmap decisions • Define and measure metrics proving 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 • Complete the hiring process: screening call, VP of Product call, take-home exercise, and review with product managers

🎯 Requirements

• Product ownership experience, with the ability to take a problem end to end with minimal hand-holding • Demonstrated use of AI tools in daily work, including Claude Code, agentic coding, and prompt engineering • Clear understanding of what work should not be delegated to AI • Experience building an AI agent and making it reliable in production • Marketing or revenue data domain experience, including personally computing relevant metrics • Comfortable working with engineers as a peer rather than across a handoff • Strong SQL • Python for data processing and automation • Fluent English for customer calls and escalations • Availability to overlap US Pacific business hours, or at least US Eastern business hours • Hands-on ETL/ELT pipeline experience with BigQuery, Snowflake, Redshift, or ClickHouse (nice to have) • Experience working directly with clients on technical requirements (nice to have) • Experience with BI tools such as Superset for operational reporting (nice to have)

🏖️ Benefits

• Optional relocation assistance to Latin America after your trial period • Modern AI tech stack and freedom to experiment • High-velocity team where you will constantly learn and scale your skills • High autonomy and ownership; outcomes-focused culture • 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

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