growthroles

Data Product Owner (Marketing / MarTech)

Improvado Open · verified Sep 24, 2026
Remote Worldwide Contract Mid-level General Marketing

At a glance

Mid-level General Marketing role at Improvado. Remote · contract.

Pay not stated General Marketing salary

RoleGeneral Marketing
SeniorityMid-level
LocationWorldwide
WorkplaceRemote
EmploymentContract
PostedSep 23, 2026 · 1d ago
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Own delivery for complex client implementations spanning SQL DataMarts, custom pipelines, MarTech Recipes, Attribution, and DataPrep
  • Shape features with engineering, then ship improvements and correct existing transformation logic
  • Improve attribution, campaign measurement, and funnel results using marketing data
  • Create AI-assisted analytics workflows with scripting and dbt, replacing manual steps with scalable automation
  • Investigate live pipeline failures, resolve data-quality problems, and handle technical client escalations

What you bring

  • You have applied Claude Code, prompt engineering, or agentic coding to automate analytics and accelerate tested delivery
  • You have owned product or product-management work from problem definition through completion with limited guidance
  • You can build a dependable AI agent and bring strong SQL capability to transformation work
  • You have worked with production data pipelines and marketing or revenue data
  • You can work full US Eastern Time hours, eventually relocate to Latin America, and speak fluent English on client calls

Who this fits

This suits a hands-on product owner who wants to write transformation logic, build automation, and solve technical issues directly rather than manage from a distance. You will work as a contractor on a remote-first role, during full US Eastern Time hours, with future relocation to Latin America. Client-facing technical conversations and close collaboration with engineering, Product, BI, and CSM/TCS teams are part of the role.

From the employer

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

This role sits within a Transformation Team - a small, high-impact group of data analysts and analytics engineers responsible for Improvado's transformation layer: SQL DataMarts, custom pipelines, and analytics products (Martech Recipes, Attribution/MMM, DataPrep) that turn raw marketing data into clean, client-ready datasets. As Senior Product Owner/Analyst, you'll own technical delivery on complex client accounts, build and automate analytics workflows, and drive product quality through a combination of deep SQL expertise and applied AI. You will own a product, write data transformation logic, build automation, and directly solve complex technical problems—rather than managing from afar.

Responsibilities

  • 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 and fixing 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 modern data stack (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

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
  • 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
  • Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) - nice-to-have
  • Experience troubleshooting production data pipelines and resolving data quality issues
  • Marketing or revenue data domain experience
  • Availability to work full US Eastern Time (ET) hours with future relocation to Latin America
  • Fluent English (able to have client calls)

Nice to have

  • 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

Not this one either?

Claude or ChatGPT reads the other 90,537 for you.

Get better matches →

Same team as Marketing Monk

What's happening in AI marketing. Daily.

Biggest story, quick hits, a prompt, one action.

7 minutes. 71,000 readers. Unsubscribe anytime.