---
title: 'Data Engineer at Troveo AI'
canonical: 'https://feeny.ai/job/data-engineer-troveo-ai-remote-8avk12k375vg'
type: 'job'
last_seen: '2026-10-27'
---

# Data Engineer at Troveo AI

- **Company:** Troveo AI
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-27
- **Apply:** https://jobs.ashbyhq.com/troveo/8330b1ee-7006-4bf0-ad45-2d5c840e55d8

## Job description

## About Troveo

Troveo builds the data platform that AI labs and model builders need to train the next generation of models. We have created the world's largest licensed platform of scarce, proprietary data for AI, spanning video, audio, text, and business workflows. Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine-tuning, evaluation, and agentic use cases. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.

## Role Overview

We are seeking a versatile, hands-on Data Engineer to build and maintain a scalable analytics data warehouse while contributing to data modeling, performing data analysis, and ensuring reliable data delivery to downstream teams and systems. This hybrid role combines core data engineering responsibilities with data modeling, analytics, and operational support. You will own the full analytics data lifecycle, from ingestion and transformation to modeling, quality assurance, and timely delivery, while partnering closely with software engineers and business stakeholders.

## Key Responsibilities

Data Pipeline Engineering

- Design, build, and maintain ELT/ETL data pipelines (batch and streaming), optimizing for performance, reliability, scalability, and cost.
- Design and implement conceptual, logical, and physical data models (including dimensional modeling, star/snowflake schemas).
- Build and maintain transformation layers using modern tools (e.g., dbt) to create clean, well-documented, analytics-ready datasets.
- Apply data modeling best practices, versioning, testing, and documentation to ensure consistency and reusability.

Data Analysis & Reporting Support

- Write optimal SQL queries for data exploration, ad-hoc analysis, and troubleshooting.
- Support the creation of reports, dashboards, and self-service analytics assets in collaboration with data analysts and business teams.
- Translate business questions into data requirements and deliver actionable insights or datasets.

Operational Support & Data Deliveries

- Monitor data pipelines and data delivery processes to ensure SLAs for timeliness, freshness, and accuracy are consistently met.
- Proactively identify, troubleshoot, and resolve data issues impacting downstream consumers or business operations.
- Manage incidents related to data availability and quality; participate in on-call rotations as needed.
- Implement data quality checks, observability, and alerting to maintain high reliability of data deliveries.
- Automate operational tasks and continuously improve data delivery processes.

Collaboration & Best Practices

- Work cross-functionally with analysts, data scientists, engineers, and business stakeholders to understand data needs and deliver solutions.
- Document data pipelines, models, lineage, and processes.
- Contribute to data governance, security, and best practices across the data platform.

## Requirements

- 5+ years of professional experience in data engineering or a closely related role (analytics engineering experience is highly relevant).
- Strong proficiency in SQL and Python.
- Hands-on experience building and maintaining data pipelines and working with cloud data platforms/warehouses. (Snowflake, BigQuery, Redshift, Databricks, etc.).
- Experience with data orchestration tools (Apache Airflow, Dagster, Prefect, or similar).
- Solid understanding of data modeling techniques and dimensional modeling.
- Experience performing data analysis and working with BI/visualization tools (Looker, Tableau, Power BI, or similar).
- Proven ability to troubleshoot data issues and support operational reliability/SLAs.
- Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

Bonus Points

- Experience with DBT for data transformation and modeling.
- Knowledge of data observability/monitoring tools.
- Experience with real-time/streaming data technologies (Kafka, Flink, etc.).
- Familiarity with CI/CD practices for data pipelines.
- Experience in data quality frameworks and governance.
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

## Compensation

- Base Salary: $160,000 – $175,000 (depending on experience and location)
- Equity: Competitive equity package in a well-funded AI startup with significant upside

## What We Offer

- Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees)
- Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it
- Remote-First Policy: Work from anywhere in the US (with occasional team offsites)
- Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders
- Equity Ownership: Competitive equity package with clear growth potential as we scale
- Modern Tech Stack & Tools: Budget for the best equipment and software
- Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance. We believe great work happens when people are supported, challenged, and given ownership.

## Equal Opportunity Employer

Troveo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Troveo AI

## Company Overview
- **One-liner**: Troveo builds the world’s largest licensed platform of real-world data for AI, helping frontier labs and model builders source, curate, and deploy training-ready datasets.
- **Entity Type**: Private (Seed stage; total funding $5.5M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Marty Pesis (Co-founder & CEO)

## Core Business
- **Primary industry/industries**: AI training data infrastructure, data licensing, enterprise AI
- **Target customers**: Frontier AI labs, model builders, robotics companies, and large technology companies (B2B, enterprise)
- **Mission or purpose**: “Accelerating foundational AI model development by unlocking non-public, real-world data for training, fine-tuning, evaluation, and agentic use cases.”

## Products & Services
- **Video Training Data**: Over 8 million hours of licensed footage across 30+ content categories, with custom metadata and full legal compliance (BIPA, CUBI) – used for foundational video models, avatars, and multi-camera tasks. [[troveo.ai]](https://www.troveo.ai/)
- **Audio Training Data**: 4 million hours of single/multi-channel audio in dozens of languages for speech recognition, voice assistants, and conversational AI. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/)
- **Text Data**: Billions of words from publishers and rights holders, structured for training, fine-tuning, and evaluation. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/)
- **Agentic Trajectories (Enterprise Workflow Traces)**: Real-world business data from companies capturing actual enterprise workflows for agentic AI. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/)
- **Gameplay Data**: Video game data with time-synced keystroke and character progression metadata for world models. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/)
- **Egocentric Robotics Data**: First-person perspective data from real operating environments for robotics training. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/)
- **Bespoke Data Sourcing**: Custom dataset assembly based on client briefs, with capabilities like golden dataset calibration and rolling deliveries (e.g., 500K+ clips in three weeks). [[troveo.ai]](https://www.troveo.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding of $5.5M (Seed round $4.5M led by Seven Seven Six, Nov 2024; Pre-Seed $1M, May 2024) [[linkedin.com]](https://www.linkedin.com/company/troveo)
- **Notable Investors/Partners**: Seven Seven Six (lead investor), plus three other unnamed seed investors. [[linkedin.com]](https://www.linkedin.com/company/troveo)
- **Growth Signals**: 47.1% headcount growth YoY (21 employees as of mid-2026); expansion from video into five new data categories (audio, text, enterprise workflows, gaming, robotics); announced over $20 million in payouts to content owners; active relationships with top AI labs and some of the largest technology companies. [[businesswire.com]](https://www.businesswire.com/news/home/20260428319383/en/) [[linkedin.com]](https://www.linkedin.com/company/troveo)

## Competitive Advantages
- **Exclusive licensed data**: Troveo’s data is sourced directly from content owners (broadcast archives, studio vaults, enterprise systems) and is non-public – not scraped from the internet – providing a legal moat for customers.
- **Compliance-first approach**: Every dataset is verified for compliance with biometric privacy laws (Illinois BIPA, Texas CUBI) and fully rights-cleared.
- **Scale and speed**: Library of 8M+ hours video, 4M hours audio; ability to deliver training-ready clips in as little as three weeks with custom metadata.
- **End-to-end service**: From curated off-the-shelf datasets to bespoke sourcing, calibration, and rolling deliveries.

## Strategic Focus
- **Category expansion**: Rapidly scaling into audio, text, enterprise workflows, gaming, and robotics to capture demand beyond video.
- **Building the “data infrastructure” for AI**: Positioning itself as the essential pipeline for frontier labs needing scarce, legally defensible training data.
- **Growing content creator payouts**: Reached $20M paid to rights holders, indicating a marketplace model that incentivizes more supply.

## Why Work Here
- **Early-stage impact**: Join a 21-person team (2024-founded) with strong growth (+47% headcount YoY) – opportunity to shape data infrastructure for the AI industry.
- **Hybrid workspace**: Employees combine remote and on-site work at the San Francisco office. [[builtin.com]](https://builtin.com/company/troveo-ai)
- **Open roles signal growth**: Currently hiring for VP of Engineering, Senior ML Engineer, Lead Software Engineer, Software Engineer (Delivery), Sales positions (Account Executive, VP of Sales) – indicating engineering and go-to-market expansion. [[jobs.ashbyhq.com]](https://jobs.ashbyhq.com/troveo) [[builtin.com]](https://builtin.com/company/troveo-ai)
- **Culture**: Described as a technology, information and media company with a focus on solving the “biggest bottleneck” in AI (training data). The company values legal compliance, data quality, and real-world authenticity.
- **Team composition**: 24% of employees in technical roles, with talent sourced from companies like TikTok, Dialpad, and Turing. [[linkedin.com]](https://www.linkedin.com/company/troveo)

## Sources
1. [Troveo Website](https://www.troveo.ai/)
2. [LinkedIn Company Page](https://www.linkedin.com/company/troveo)
3. [Built In Company Profile](https://builtin.com/company/troveo-ai)
4. [BusinessWire Press Release (Apr 28, 2026)](https://www.businesswire.com/news/home/20260428319383/en/Troveo-Accelerates-AI-Model-Development-Expands-AI-Training-Data-Platform-to-Five-New-Categories-Announces-%2420-Million-in-Payouts)
5. [Troveo Careers Page (Ashby)](https://jobs.ashbyhq.com/troveo)

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