Solutions Engineer (Media)

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