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Senior Product Manager
1 month ago
We are seeking 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.
Key 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.
- 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.
- 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.
- Company Stock Options
- Hardware: MacBook Pro
- Modern technical stack. Develop open-source software
- 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
About Shelf
There is No AI Strategy without a Data Strategy. Getting GenAI to work is mission critical for most companies but 90% of AI projects haven't deployed. Why? Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production.
We've helped some of the best brands like Amazon, Mayo Clinic, AmFam, and Nespresso solve their data issues and deploy their AI strategy with Day 1 ROI.
Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers.
Shelf is partnered with Microsoft, Salesforce, Snowflake, Databricks, OpenAI and other big tech players who are bringing GenAI to the enterprise.
Our mission is to empower humanity with better answers everywhere.
