Grupo Protege

Solutions Engineer

• 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
• 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
• 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
• 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

Solutions Engineer – Media

Account Manager

• Identify high-value audio content owners across formats — podcasts, audiobooks, conversational audio, vertical-specific recordings (legal, medical, financial, technical, and more), foreign language content, and UGC audio — that align with Protege's data and licensing priorities
• Craft and execute strategies to win these partners and bring them into the Protege network
• Own the full lifecycle: sourcing, pitching, negotiating, and closing licensing agreements
• No job too big or too small: support leadership and content partnerships team to achieve ambitious goals
• Build strong, trust-based relationships with audio content partners — podcast networks, audiobook publishers, enterprise content producers, multilingual media companies, specialty audio libraries, and beyond
• Serve as the long-term account lead for partners, helping manage usage, renewals, and strategic opportunities
• Educate partners on the evolving AI landscape and how their content contributes to cutting-edge innovation
• Ensure audio assets meet technical requirements for AI training (format, transcripts, metadata, quality thresholds)
• Work with internal teams to assess usability, compliance, and delivery readiness
• Collaborate with legal to shape deal terms and ensure partner agreements reflect both value and compliance
• Work with product and licensing teams to match audio content supply with demand from AI builders
• Partner with marketing to celebrate key partnerships and elevate Protege's presence in audio media ecosystems

Audio Media Partnerships Lead

Software Engineer

• Define and execute a long-term technical strategy aligned with company goals.
• Partner with executive leadership to decide product direction, innovation, and roadmap execution.
• Establish engineering-wide structures, processes, and operating rhythms that support growth at scale.
• Partner with cross-functional leaders to anticipate what Protege and engineering will need as it scales.
• Set the standard for technical excellence and execution, and build a high-trust culture where teams take ownership and move quickly.

VP, Engineering

Product Manager

• Own how customers access, evaluate, and receive data—from samples and evaluation sets to full contractual deliveries
• Define the product surfaces and mechanisms for data delivery
• Partner with various teams to enforce privacy & rights at Point of Access
• Identify and standardize delivery processes to reduce bespoke work
• Define self-serve access for customers under specific conditions
• Enable auditability and reproducibility of delivery processes

Product Manager, Data Access – Delivery

• Build our Internal Data Catalog
• Define the data model across title, asset, and partner levels.
• Establish a clear state model (e.g., ingested, accessible, in pipeline, linked/enriched).
• Own search and discovery across modalities; set metadata standards with Data Lab + Engineering.
• Ensure catalog state is auditable and resilient to refreshes, moves, and deletions.
• Create structured visibility into partner supply not yet ingested (potential, cadence, modality coverage, volume estimates).
• Enable GTM to scope deals based on *available + accessible* supply—not only what’s already in-platform.
• Provide visibility into partner inclusion in deals, utilization trends, and inventory footprint.
• Reduce partner back-and-forth caused by unclear system truth.
• Partner with Partnerships to ensure relationships are supported by scalable system representations
• Work closely with Privacy, Rights & Trust: represent data eligibility and constraints
• Work closely with Data Access & Delivery: to ensure discoverable supply is deliverable
• Work closely with Solutions Architecture: to identify catalog gaps surfaced by deals
• Work closely with Engineering: owns ingestion execution and infrastructure

Product Manager, Data Inventory, Partner Systems, Catalog

• Own Protege’s privacy protection strategy across modalities (text, audio, video, multimodal), balancing privacy, usability, and cost.
• Define scalable de-identification workflows, including approaches that preserve longitudinal or contextual signal when needed.
• Own rights, permissions, and usage constraints: define how they are represented in the platform and enforced end-to-end.
• Build validation mechanisms for partner-performed de-identification and rights claims to ensure reliability at scale.
• Shape product abstractions for regulated environments (e.g., HIPAA, GDPR, international healthcare) without hard-coding policy into one-off solutions.
• Identify and reduce trust/risk surfaces where inaccurate partner metadata, unclear provenance, or weak validation creates legal or reputational risk.
• Define product signals and guardrails that make risk visible and manageable.

Product Manager, Privacy, Rights & Trust

AI Research Scientist

• Conduct feasibility analyses by querying healthcare datasets to assess patient cohort availability based on complex inclusion/exclusion criteria (i.e. procedures, diagnoses, diversity, longitudinal completeness, regulatory constraints)
• Collaborate directly with customers to understand their use cases and support effective data integration
• Ensure customers have a clear understanding of the data’s structure, limitations, and strengths
• Identify gaps in our data offerings and provide insights to our partnerships team on the highest-priority data acquisitions
• Evaluate potential data partnerships, ensuring the data is high-quality, well-documented, and commercially viable

Applied ML Researcher

Data Scientist

• Design and apply statistical and machine learning methods to curate, filter, and enrich large-scale unstructured datasets
• Develop frameworks to assess data diversity, duplication, and informativeness. Design statistical approaches to de-risk training datasets
• Collaborate with model training teams to identify data bottlenecks and optimize dataset performance. Emphasis on ability to collaborate with large foundational models and smaller startups
• Provide leadership on data quality strategy and shape internal best practices
• Evaluate external datasets for integration, focusing on scalability, quality, and relevance to model performance. Help build data scorecards
• Contribute to research and development of tools that automate data preprocessing and validation

Senior Data Scientist

• Own end-to-end fulfillment for Media deals, from pre sales sampling through to final delivery
• Oversee execution across video, audio, and motion capture pipelines, ensuring consistency and quality
• Partner closely with Sales, Partnerships, Engineering, and Product to translate deal terms into executable plans
• Manage scope, timelines, resourcing, and risk across multiple concurrent deals
• Design, implement, and continuously improve operational workflows for the Media vertical
• Build scalable systems for scoping work, scheduling, production tracking, and delivery
• Establish clear success metrics, reporting, and accountability across projects
• Identify bottlenecks and proactively solve for scale, efficiency, and quality
• Manage and grow a media product success team for each vertical
• Set clear goals, roles, and expectations for team members
• Coach and develop high-performing operators and project leads
• Foster a culture of ownership, clarity, and execution excellence
• Serve as the primary point of coordination between Media, Product, Engineering, Sales, Product and external partners