Customer Solutions Consultant
Argentina - Remote
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Measured
Measured is the AI-powered marketing effectiveness platform trusted by enterprise brands. Turn complex media portfolios into clear, accountable growth prog...About Measured
Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, est, plan, and optimize over $35 billion in full-funnel media investments. Measured’s unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency.
The Role
We’re looking for a Customer Solutions Consultant to support data integrity, platform performance, and seamless onboarding of new data vendors post-sale. In this cross-functional role, you will partner closely with Customer Success, Product, and Engineering teams to diagnose and resolve complex data issues, ensure accurate client reporting, and maintain platform reliability at scale.
You will play a critical role in validating client implementations, troubleshooting data anomalies, and driving technical improvements that enhance customer value and long-term retention.
Requirements
Key Responsibilities
- Own the technical investigation and resolution of data integrity issues across client dashboards
- Partner with CS and Product to triage platform effectiveness issues and propose root-cause solutions
- Support the onboarding of new data vendors and integrations post-sale, validating connectivity and completeness
- Collaborate with Engineering to resolve systemic data ingestion or transformation problems
- Ensure client reports and test results reflect clean, complete, and correct data
- Build and maintain internal tools, checklists, and validation processes to support quality control
- Act as a technical escalation point for the Customer Success team
- Identify repeatable technical patterns in client issues to drive process or product improvements
- Support internal QA and validation before new features or enhancements are rolled out to clients
What Success Looks Like
- Time-to-resolution on data/platform issues
- % of vendor integrations completed without rework
- Accuracy of post-implementation QA
- Internal partner satisfaction (CS, Product, Engineering)
- Reduction in recurring data issues per client
Ideal Experience
- 2–4 years of experience in a technical support, post-sales engineering, or data operations role at a SaaS or martech company
- Strong understanding of data workflows, integration pipelines, or ETL processes
- Familiarity with digital marketing platforms (Meta Ads, Google Ads, GA4, etc.)
- Proficient in Excel/Google Sheets; SQL and/or Python a plus
- Experience with customer-facing roles and ability to translate technical issues into client-friendly language
- Organized and analytical thinker with excellent debugging and root-cause analysis skills
- Experience onboarding or managing third-party data sources, APIs, or vendor integrations
- Strong project management skills and the ability to juggle multiple priorities
- Experience with data visualization tools (e.g., Looker, Tableau, Domo)
- Familiarity with platforms like Segment, mParticle, or CDPs
- Exposure to API management or scripting languages (JavaScript, Python, etc.)
- Prior experience working with global DTC brands or digital media data
Benefits
- 100% Remote
- Competitive Total Rewards and flexible paid time off
- Opportunities to give back through Measured for Good
- Engaged, diverse, and curious culture
- Award-winning technology powered by an agile, collaborative team
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs DataOps Data visualization Engineering ETL Excel JavaScript Looker Pipelines Python SQL Tableau
Perks/benefits: Flex hours Flex vacation
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.