Technical Product Manager -LLM / RAG
Location: REMOTE, (can be anywhere in California, Washington or Texas) offices/teams in Los Angeles, Seattle Area and Austin
Department: Product Management
Reports to: CPO
Company Overview
Company is at the forefront of transforming how content is accessed and monetized in the AI-enhanced search space. We aim to empower content creators through innovative attribution models that leverage Retrieval-Augmented Generation (RAG) technology. Our mission is to build a fair ecosystem for content sharing that compensates creators while delivering accurate and valuable information to our users.
We envision a world where AI is aligned w/ content owners & Creators. Billions are at stake as the industry scrambles to figure out how to monetize the explosion of AI-generated words/search results, images, video, music and gaming. The platform quantifies the fractionalized IP generated by LLM queries, ensuring that publishers get paid according to the prorated value of their content.
Highlights:
- Company has filed patents on both attribution and monetization of content used by Gen AI
- Have signed up 18 of the planet’s top-20 publishers/content providers and multiple institutional and strategic investors
-Founded by industry luminary who democratized advertising by inventing paid search. Small brands were enabled to pay cents per click, letting all have a more democratic way of gaining access to the inventory on search engines
- Mission to make creativity fairer to the Creator and more accessible to everyone by receiving attribution and credit for their content
- Just raised an A-Round of $25MM and soon to close a massive round ($100M plus with $1B evaluation) with investors lined up.
- Executive team and Engineering teams comes from top AI companies such as MSFT, Google, Facebook, Eureka.AI etc., including their CTO, who left MSFT as a Microsoft Fellow and was the builder of Bing, MSFT Advertising Labs, Knowledge Web, Semantic Search and Entity Graph, Recommendation Engines etc.
Position Summary
We are looking for a Technical Product Manager with expertise in large-scale LLM, Retrieval-Augmented Generation (RAG) systems and information retrieval. This role will play a crucial part in driving the development and implementation of our LLM & RAG-based technologies, focusing on integrating innovative retrieval techniques, ensuring content attribution, and improving search functionalities across our platforms.
Key Responsibilities
- Product Strategy and Vision: Define and articulate a clear product vision for RAG technologies that supports the company’s mission of fair content attribution and monetization.
- Cross-Functional Collaboration: Partner with AI Engineering teams to drive the development of LLMs, algorithms, retrieval techniques, and matching strategies that enhance RAG systems.
- Feature Development: Lead the ideation, technical development, and launch of innovative features focused on retrieval, indexing, and attribution models.
- Stakeholder Engagement: Collaborate with content partners, publishers, and internal stakeholders to define requirements and establish successful integrations for licensed content.
- Data Analysis and Metrics: Establish key performance indicators (KPIs) and utilize analytics to measure the effectiveness of RAG implementations and continuously improve product offerings.
- User Experience Focus: Ensure that the product meets user needs by conducting user research, gathering feedback, and validating product concepts.
- Advocate for Attribution: Drive the development of third-party attribution solutions that ensure transparent compensation and licensing for content creators.
- Market Research: Stay abreast of industry trends and competitive landscape in the AI search and content attribution space, identifying opportunities for innovation and differentiation.
Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; Master’s degree preferred.
- Experience: 5+ years of experience in product management with a focus on AI, LLMs, machine learning, information retrieval, or related technologies.
- Technical Skills: Strong understanding of RAG systems, indexing techniques, retrieval algorithms, and document retrieval methods.
- Analytical Skills: Proficiency in data analysis and performance measurement to inform product decisions.
- Communication Skills: Excellent verbal and written communication skills, with the ability to engage and influence cross-functional teams and external partners.
- Problem-Solving: Proven ability to think critically and contribute to innovative solutions in a fast-paced environment.
- Passion for Content Rights: A strong commitment to ensuring fair content attribution and an understanding of legal and ethical considerations in content sharing.
