# Solutions Engineer (Media)

**Company:** [Protege](https://hotfix.jobs/companies/protege)
**Location:** Remote
**Role:** Sales Engineering
**Experience:** 4+ years
**Skills:** SQL, Embeddings, AI, Media Metadata, Unstructured Content, Video Processing, Audio Processing, Multimodal Ai, Machine Learning Datasets, APIs, Data Normalization, Python, Information Retrieval
**Posted:** 2026-03-31

> Curates and delivers media datasets from Protege's catalog to meet customer AI training needs, handling data quality, normalization, and validation using SQL and embeddings. Partners with sales and product teams in fast-paced environments, requiring 4-7 years in data roles.

## Job Description

## What You’ll Do

- Own data quality and curate media datasets
- Partner with Sales and Solutions to translate customer requirements into curation strategies
- Work with imperfect partner data, including mismatched metadata, schema differences, and incomplete labeling
- Normalize and standardize datasets for reliable downstream use
- Query and analyze Protege’s media catalog using **SQL**, internal APIs, and metadata tools to identify relevant content
- Build validation checks and workflows to ensure dataset integrity before delivery
- Identify, debug, and resolve data quality issues across file structures, metadata, and content alignment
- Use **AI** tools and transcoded embeddings to surface and refine clip-level content
- Turn messy, real-world data into structured datasets that meet customer and model requirements
- Run iterative sample reviews with customers, incorporate feedback, refine selections, and ensure final packages meet spec
- Be the catalog expert
- Build deep expertise in Protege’s media catalog structure, metadata, and growth patterns
- Track content coverage, diversity, and modality mix, and identify gaps relative to customer demand
- Partner with Product and Partnerships to share catalog insights that inform sourcing priorities
- Operate across product, data, and customer
- Work cross-functionally to ensure content packaging meets technical, ethical, and licensing requirements
- Develop methods, scripts, and internal tools that improve curation efficiency and scale
- Help shape Protege’s delivery platform, including how internal users and customers search, sample, and export data
- Drive human-in-the-loop media search and curation
- Work closely with embedding-based systems to iterate between algorithmic selection and human review
- Define best practices for embedding queries, relevance evaluation, and content diversity
- Maintain a high bar for operational excellence and quality assurance throughout the process

## What You Bring

- 4-7 years of experience in data science, media analytics, technical curation, or similarly hands-on data roles
- Strong **SQL** proficiency and comfort querying large, messy datasets to generate insight and action
- Experience working with media metadata, embeddings, or unstructured content
- Ability to translate nuanced customer or model requirements into concrete dataset specifications
- High standard for data quality, operational rigor, and usability of delivered outputs
- Clear communicator who can move between technical depth and customer-friendly clarity
- Thrive in ambiguous, fast-moving environments and treats teammates with kindness

**Bonus if you also have:**
- Familiarity with video/audio processing, embeddings, or multimodal **AI** workflows
- Prior experience curating or packaging datasets for machine learning
- Background in content analysis, recommendation systems, or information retrieval

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