Forward Deployed Engineer, Video

Job not on LinkedIn

🕒 August 25

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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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Grupo Protege

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

📋 Description

• Support Protege's video vertical as a Forward Deployed Engineer • Own the technical success of video customers and build reusable systems for future scale • Partner with the GM of the vertical, product and platform engineering, Data Lab, and commercial teams • Translate customer model-development goals into executable technical plans with clear acceptance criteria • Own implementation and operation of customer engagements from feasibility through post-delivery support • Build tooling to characterize, measure, describe, sell, and quality-check raw video datasets • Expand solutions for responding to high-volume requests and unique data requests • Identify platform capabilities from customer requests and contribute to designing and building them • Build the video FDE technical playbook, quality standards, reusable toolkit, and platform investment roadmap • Manage customer requests, newly ingested partner datasets, and architecture decisions across multiple concurrent deals • Provide availability outside standard hours when deals are live

🎯 Requirements

• 3+ years of experience as an engineer, including meaningful exposure to customers or external technical stakeholders • Experience working directly with media data, with a strong preference for video specifically • Experience building and operating systems that process, analyze, or deliver data at scale • Customer-facing ability, including translating ambiguous requirements, communicating trade-offs, and building trust with technical stakeholders • Demonstrated end-to-end ownership, from initial problem definition through implementation, validation, and support • High ambiguity tolerance and bias to action, with the judgment to know when to investigate further or push back • Comfort with the intensity and pace of a fast-moving environment, including multiple concurrent priorities and time-sensitive customer work • Hands-on experience with video processing at scale is a nice to have, including codecs and transcoding, ffmpeg, shot detection, frame sampling strategies, or perceptual quality measurement • Experience at an early-stage company or startup-like environment is a nice to have • Hands-on experience with Python and SQL is a nice to have • Experience with search, vector embeddings, semantic retrieval, or ML-assisted data curation is a nice to have • Experience evaluating or deploying vision-language models, including building the evaluation harness, is a nice to have • Product engineering experience or a strong product mindset is a nice to have • Experience with AWS, Databricks, Dagster, or Vercel is a nice to have