Full-Time Founding Product Manager
Protege is hiring a remote Full-Time Founding Product Manager. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Protege
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We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
We’re looking for a Founding Product Manager to own product development in Protege’s media business. With a handful of media customers today and a full pipeline, we’re looking for someone to take the reins from our Head of Product and deliver on maturing the product suite serving our media vertical.
What You’ll Do:
- Define, prioritize, and execute the roadmap for Protege’s media business, starting with projects in data ingestion/processing and content visibility/searchability.
- Work with external partners and internal teams to understand pain points and prioritize solutions.
- Translate abstract problems into actionable, measurable engineering work.
- Manage backlog, tradeoffs, and stakeholder communication with precision and transparency.
- Understand how AI developers use media embeddings and metadata downstream, ensuring data quality aligns with use case needs.
- As a founding team member: contribute to product culture, hiring, and process definition.
Who You Are:
- 4–7 years of experience in product management, with at least 1-2 years of experience PM-ing data-processing solutions.
- Product management experience in an early-stage startup.
- Proven ability to work closely with engineers and data scientists to ship complex, multi-system products.
- Excellent communication and cross-functional leadership skills.
- Structured thinker who thrives in ambiguity and is comfortable owning outcomes end-to-end.
- Familiarity with media data — file formats, metadata, common delivery and storage mechanisms — or the desire and ability to become an expert quickly.
Bonus if you have these experiences:
- Experience with media content management, transcoding, or machine learning pipelines.
- Familiarity with tools like AWS S3, FFMPEG, TwelveLabs, or similar video AI platforms.
- Exposure to retrieval, search, or embedding-based applications.