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:
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
- Weve 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
