---
title: 'Staff Data Engineer at Vidmob'
canonical: 'https://feeny.ai/job/staff-data-engineer-vidmob-sao-paulo-e1p470bcv9f6'
type: 'job'
last_seen: '2026-09-10'
---

# Staff Data Engineer at Vidmob

- **Company:** Vidmob
- **Location:** São Paulo, Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/vidmob/981483ca-4652-47e7-822b-6be001268cdf

## Job description

Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive business results through improved creative effectiveness. As the leader in creative data, Vidmob’s influence lies in its partnerships and integrations across the digital ad ecosystem, its dozens of proprietary models, and in operating the industry’s most robustly instrumented human-reinforcement learning model for creativity.

Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive business results through improved creative effectiveness. As the leader in creative data, Vidmob’s influence lies in its partnerships and integrations across the digital ad ecosystem, its dozens of proprietary models, and in operating the industry’s most robustly instrumented human-reinforcement learning model for creativity. We are seeking an experienced Staff Data Engineer to architect, scale, and operationalize the data systems that power Vidmob’s creative intelligence platform. Vidmob turns creative into a measurable growth driver by connecting creative assets, model outputs, platform metadata, media delivery, and business outcomes. That requires scalable, reliable data platforms for analytics, machine learning, customer-facing reporting, APIs, partner integrations, and AI-driven workflows. This role is especially important as Vidmob builds more products driven by ML and AI, including LLMs, VLMs, creative scoring systems, and agentic workflows. We need a data engineering leader who can partner deeply with Data Science to productionize models, serve model outputs reliably, and turn experimental intelligence into durable customer-facing products. Because AI is changing how data systems are built and consumed, you need to be an AI-forward practitioner. You will use AI to accelerate engineering, validation, observability, root-cause analysis, documentation, and data discovery. Our global team works in English, so strong written and spoken English skills are essential. This position is mostly remote, but periodic international travel within Latam or to the US will be required.

## What you’ll do

- Architect Scalable Data Platforms: Design systems supporting analytics, ML/AI products, reporting, APIs, integrations, and customer-facing data products.
- Own the Data Architecture and Lifecycle: Design how data is modeled, stored, partitioned, transformed, validated, and served — not just how it moves between systems.
- Build Reliable Pipelines: Architect scalable, observable, replayable, and cost-efficient batch, incremental, and near-real-time pipelines.
- Design Data Models and Storage Patterns: Define schemas, partitioning and clustering strategies, access patterns, and storage layouts optimized for scale, performance, and cost.
- Productionize ML and AI Products: Partner with Data Science to turn models and experimental outputs into reliable production capabilities.
- Define Data Standards: Establish best practices for data contracts, modeling, testing, observability, and production readiness.
- Create Trusted Data Products: Build governed datasets and serving patterns for dashboards, APIs, integrations, ML workflows, and agent-ready use cases.
- Shape Platform Strategy: Influence decisions around storage, processing frameworks, serving patterns, governance, scalability, and cost.

## What we’re looking for

- Senior Technical Experience: 8+ years in data engineering, data platform engineering, or similar roles in data-intensive environments.
- Data Architecture and Modeling Depth: Deep experience designing data models and storage architectures for large-scale systems, including schema design, partitioning and clustering, data layout, access patterns, and distributed processing.
- Modern Data Platform Expertise: Strong hands-on experience with modern warehouse, lakehouse, or distributed data platforms. Experience with Databricks and Snowflake is helpful, but we care more about understanding the underlying architecture and tradeoffs around storage, compute, scalability, performance, reliability, and cost.
- Strong Engineering Foundations: Production-grade SQL and strong programming skills in Python, Scala, Java, or similar languages.
- Batch and Streaming Architecture: Experience designing batch, incremental, and near-real-time systems at scale, including replay, backfill, and failure recovery.
- Systems Thinking: Ability to design data systems from requirements and first principles rather than starting with a preferred technology or framework.
- End-to-End Ownership: Experience designing how data is structured, stored, transformed, validated, and served — not just building ingestion or ETL pipelines.
- ML/AI Product Experience: Experience supporting production ML or AI systems, ideally including LLMs, VLMs, embeddings, or multimodal data products.
- Data Quality and Observability: Experience with validation, monitoring, lineage, alerting, and incident response for critical data systems.
- Pragmatic Technical Leadership: Strong judgment around architectural tradeoffs, platform design, and balancing long-term solutions with practical delivery.
- Direct Communication: Ability to clearly explain architecture, risks, and tradeoffs across technical and non-technical audiences.
- English Fluency: B2+ written and spoken English required.
- Ownership: You own outcomes, not just pipelines.

Please be aware that Vidmob will only contact candidates through emails ending in @[vidmob.com](http://vidmob.com). We will never ask for personal information, such as your Social Security number, bank account number, or password, through email. If you receive an email claiming to be from Vidmob that does not come from a @[vidmob.com](http://vidmob.com) email address, or if the email asks for personal information, please do not respond and report the email to us at IT@vidmob.com

## About Vidmob

## Company Overview
- **One-liner**: Vidmob is the creative data company that uses proprietary AI to help brands and agencies optimize creative and media performance across digital ad platforms.
- **Entity Type**: Private (venture‑backed)
- **Headquarters**: New York, New York, United States
- **Founded**: 2014
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: MarTech / AdTech – creative data analytics
- **Target customers**: B2B – large enterprise brands, agencies, and non‑profits
- **Mission / purpose**: “Harness creative data for marketers to make smarter creative and media decisions.” [vidmob.com](https://vidmob.com/about-us)

## Products & Services
- **Vidmob Creative Data Platform (SaaS)**: An AI‑powered platform that analyzes every creative attribute tied to performance, derives brand‑specific best practices, and ensures those learnings are applied across flighted media. Integrates with major ad platforms (Meta, Google, TikTok, etc.). [vidmob.com](https://vidmob.com/)
- **Vidmob Gives**: A 501(c)(3) non‑profit arm that donates technology and education to other non‑profits, using creative data for social good. [vidmob.com](https://vidmob.com/about-us)

## Market Standing
- **Valuation**: Not disclosed
- **Key metrics**:
  - Annual Revenue: **$45.7M** [linkedin.com](https://www.linkedin.com/company/vidmob)
  - Total Funding: **$239.6M** (over $210M per other sources) across 9 rounds [linkedin.com](https://www.linkedin.com/company/vidmob)
- **Notable Investors / Partners**: Adobe (backer), official partner of all major ad platforms (Facebook, Instagram, Google, TikTok, etc.) [vidmob.com](https://vidmob.com/)
- **Growth Signals**:
  - 11 offices across 6 countries (US, UK, Ireland, Brazil, Mexico, Singapore, etc.)
  - Headcount: 95 employees (−32.4% YoY) [linkedin.com](https://www.linkedin.com/company/vidmob)
  - Awards: LVMH Innovation Award 2023, AdAge Best Places to Work 2022, Digiday Greater Good Award & Most Innovative Technology Award, Instagram Stories Partner Innovation Award [vidmob.com](https://vidmob.com/about-us)

## Competitive Advantages
- **Only official partner of every major ad platform**, giving it unique access to creative performance data. [vidmob.com](https://vidmob.com/)
- **Proprietary AI models** that have analyzed **18+ million ad creatives**, **300,000+ ad accounts**, and **3 trillion** creative‑element‑to‑performance relationships. [vidmob.com](https://vidmob.com/)
- **Combination of machine data and human insight** – not purely automated; provides brand‑specific, actionable best practices.

## Strategic Focus
- **Cross‑channel optimization**: Real‑time campaign monitoring with brand‑specific KPIs.
- **GenAI compliance**: Using creative data to optimize GenAI prompts and ensure brand and platform compliance.
- **Proving creative effectiveness**: Enhancing Media Mix Modeling (MMM) attribution and media decisions with creative data. [vidmob.com](https://vidmob.com/)

## Why Work Here
- **Culture & awards**: Named AdAge Best Places to Work 2022, Editor’s Choice: 100 Best Hybrid Places to Work. [vidmob.com](https://vidmob.com/about-us)
- **Work model**: Hybrid – expected in‑office Monday, Tuesday, Wednesday (3 days/week). Offices in 11 locations; remote considered for some roles. [builtin.com](https://builtin.com/company/vidmob)
- **Perks & benefits**:
  - Unlimited PTO
  - 16 weeks paid parental leave (all family growth)
  - Stock options / equity
  - 401k matching
  - Full health, dental, vision insurance (employer‑paid)
  - Flexible Spending Account (FSA)
  - Pet‑friendly offices
  - Professional development: job training, conferences, customized development tracks. [builtin.com](https://builtin.com/company/vidmob)
- **Engineering culture**: Stacks include Java, Docker, Kubernetes, Snowflake, AWS Redshift, Spring. Collaborative environment focused on “bold thinkers”. [builtin.com](https://builtin.com/company/vidmob)

## Sources
1. [vidmob.com – Home](https://vidmob.com/)
2. [vidmob.com – About Us](https://vidmob.com/about-us)
3. [vidmob.com – Careers](https://vidmob.com/careers)
4. [linkedin.com – Vidmob Company Page](https://www.linkedin.com/company/vidmob)
5. [builtin.com – Vidmob Profile](https://builtin.com/company/vidmob)

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