About Shelf

Shelf is revolutionizing Generative AI by offering organizations a secure way to incorporate large language models to scale their knowledge, boost employee performance, and improve customer satisfaction. Our technology assesses, identifies issues, prioritizes improvements, and monitors content on a continuous basis in order to turn an organization’s knowledge into an infrastructure for Generative AI enablement. Our clients include Fortune 100 leaders across industries and continents, and we are in an exciting period of high growth.

Senior Product Manager (Data, Unstructured Data Management & RAG)
We are looking for a Senior Product Manager with expertise in Data Management and Retrieval-Augmented Generation (RAG) to help drive our RAG-related product direction. The successful candidate will be responsible for shaping the strategy, roadmap, and execution of key data-focused initiatives, driving innovation while balancing the needs of two distinct user personas: content managers and data professionals.

In this role, you will own the development and evolution of data-driven features, enabling our customers to extract value from both structured and unstructured data while leveraging the power of AI-driven content and insights.

We’re looking for someone who has:

• Proven experience (3+ years) as a Product Manager or Senior Product Manager, familiar with data management, and a track record of driving data-heavy product features from concept to launch.
• Experience with Retrieval-Augmented Generation (RAG) and a solid understanding of AI-driven search, content retrieval, and analytics throughout all phases of R&D.
• Experience with Snowflake, Databricks, or other data platform technologies, and how they integrate with product development.
• Strong understanding of the needs of data professionals (e.g., data scientists, data engineers) and content managers, and the ability to create products that cater to both personas.
• Demonstrated ability to write clear and detailed product requirements and user stories, particularly for data-centric products.
• Excellent communication and collaboration skills, able to work effectively with engineering, design, and other cross-functional teams.
• Familiarity with modern product management tools such as JIRA, Confluence, Aha!, etc.
• Experience using metrics and customer feedback to inform and iterate on product development decisions.

As a plus

• Familiarity with AI/ML models, NLP, and machine learning pipelines.
• Experience with large-scale data systems, particularly those that handle unstructured data and content analytics.

Additional Responsibilities:

• Be the internal and external advocate for data-centric initiatives, acting as the expert in unstructured data, RAG, and data management features.
• Drive innovation around AI-driven content retrieval and unstructured data analytics to help customers extract actionable insights efficiently.

You will:

Product Features and Delivery

• Own the data-centric features of the assigned team and be the go-to person for product-related activities, with a specific focus on Data Management and RAG applications.
• Elicit and transform business requirements for data-driven initiatives (e.g., analytics, AI-based content insights) into detailed engineering specifications, ensuring clarity and alignment across teams.
• Split product features into user stories that drive value for both content managers and data professionals, with an emphasis on advanced analytics and AI-driven retrieval capabilities.
• Work closely with the design team to create UX and UI designs that focus on delivering user value.
• Help create and review customer-facing guides, focusing on RAG workflows, AI-driven product features, and general new data management capabilities.
• Define and track Product Metrics that provide insights into product usage and adoption, particularly for data management, content analytics, and RAG-based functionality.

Communication, Roadmap, and Planning

• Create product updates that inform customers of newly released data management and AI-based features, ensuring timely communication and alignment with the overall platform strategy, acting as the primary owner of our RAG-related product features.
• Work cross-functionally to communicate upcoming features to internal teams (Sales, Marketing, Customer Success).
• Attend customer meetings, help troubleshoot product issues, and provide strategic input on how to achieve business goals with our unified platform, with a focus on data-related challenges and opportunities.
• Develop and present product information that ensures internal alignment among stakeholders and outlines new data-related features, ensuring all departments have the necessary context to deliver a successful whole-product launch.
• Work closely with leadership to develop the team’s roadmap, prioritizing data and AI-driven features that align with the unified platform vision.
• Act as the primary educator on RAG and AI-related product features, ensuring peer PMs and teams understand the underlying technology and its impact on product innovation and strategy

What Shelf Offers:

• Company Stock Options
• Unlimited leaves
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software

Why Shelf

• According to MarketWatch in November 2022, the global knowledge management market size was valued at US $405 Billion in 2021 and is expected to expand at a CAGR of 18.12% during the forecast period, reaching US $1.1 Trillion by 2027
• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• Our platform has been consistently rated #1 for overall usability by Gartner Digital Markets, and has received Easiest to Use, Easiest to Admin, and Highest Adoption awards from G2., and product of the year and innovation awards from leading publications, such as CIO Review.
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next year