S

Shelf

AI-powered knowledge management for agents

AI Project Manager / Deployment Strategist / CSM

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

  • At least 5 years of customer-facing B2B SaaS delivery experience, such as solutions consulting, implementation, professional services, technical customer success, or technical program management.
  • Proven ownership of complex implementations from discovery and scoping through deployment and measurable results, involving multiple customer and internal stakeholders.
  • Hands-on experience implementing AI, generative AI, or automation solutions, including configuring workflows and translating business needs into working systems.
  • Experience structuring business knowledge using concepts such as ontologies, taxonomies, entities, relationships, metadata, and business rules.
  • Technical fluency to work with customer IT and engineering teams on application programming interfaces, integrations, authentication, permissions, and data flows.
  • Strong analytical skills, including defining success metrics, evaluating AI quality, interpreting usage data, and building business cases using SQL or comparable analytics tools.
  • Ability to lead discovery, challenge assumptions, secure stakeholder decisions, and coach customer teams through consultative communication.
  • Ability to prioritize work, manage risks and dependencies, resolve ambiguity, and improve processes while delivering in an evolving environment.

Responsibilities

  • Work with customers to identify valuable AI use cases, balancing business impact with implementation effort and initially focusing on existing Shelf customers.
  • Understand customer goals, assess readiness, establish baselines, and agree on measurable outcomes, success criteria, and expected value.
  • Build and refine the customer's AI Data Model, including relevant knowledge, entities, relationships, and business rules; configure copilots, AI agents, and workflows in Shelf.
  • Own delivery plans, milestones, dependencies, risks, and stakeholder decisions from discovery through rollout; align customer and internal teams on integrations, access, and deployment requirements.
  • Establish evaluation task banks and acceptance criteria, investigate gaps, and verify improvements before expanding deployment.
  • Guide customers through pilots, collect feedback, and equip their teams to use, operate, and improve the solution.
  • Measure results against agreed objectives, communicate value to decision makers, and identify further use cases that support adoption, retention, and expansion.
  • Turn implementation experience into reusable playbooks, templates, and automation; bring structured customer feedback to Product and Engineering.

About the Company

Shelf

AI-powered knowledge management for agents

Shelf.io provides knowledge management solutions that help organizations optimize their internal content and improve how agents and customers get answers. Its platform uses Generative AI to evaluate content quality from multiple sources and generate accurate, consistent responses for human agents, chatbots, and self-service portals. The products integrate where agents work, using AI, customer data, and automation to quickly deliver correct information, and to keep content up-to-date, boosting agent productivity and customer self-service. Shelf.io differentiates itself by focusing on content quality across sources, delivering reliable answers, and showing tangible results like ROI (e.g., $780,000 in the first year) and increased deflection rates (40%), which reduce the need for human intervention. The company’s goal is to help organizations maintain accurate knowledge at scale so that agents can resolve inquiries faster and customers can help themselves more effectively.

Company size
201-500
Company stage
Series B
Total funding
$60.7M
Headquarters
New York City, New York
Founded
2017

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