Senior Product Manager

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
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software

Why Shelf

• GenAI will be at least a $4 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale
• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We've been helping our customers prevent knowledge mismanagement since our founding in 2017
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• 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 few months