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Hops

Collaborative AI agent workspace for teams

Forward Deployed Engineer

Implementation & Technical Account ManagementPosted on Nov 10
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 3 years of experience in solutions engineering, technical consulting, implementation, business automation, or a related role.
  • Strong hands-on experience with artificial intelligence tools, large language models, agents, and workflow automation.
  • Ability to translate ambiguous business requirements into structured, functional solutions.
  • Familiarity with software-as-a-service applications, application programming interfaces, integrations, and enterprise workflows.
  • Customer-facing communication skills for interactions ranging from end users to senior executives.
  • Business acumen and ability to understand processes across multiple functions.
  • Ability to experiment with new artificial intelligence tools and make them useful.
  • Ownership, curiosity, and comfort operating in an early-stage startup.

Responsibilities

  • Work directly with customers to understand their business processes, bottlenecks, and opportunities for artificial intelligence.
  • Configure agents, workflows, automations, and collaborative spaces using Hops.
  • Integrate Hops with customers' existing systems, data sources, and business applications.
  • Own the journey from initial discovery and proof of concept through adoption and measurable results.
  • Train teams, demonstrate value, and ensure artificial intelligence workflows become part of everyday operations.
  • Build solutions across consulting, sales, marketing, finance, operations, and other business functions.
  • Work with product and engineering teams to translate customer feedback into product improvements.
  • Create reusable workflows, templates, and best practices that can be deployed across customers.

Desired Qualifications

  • Experience with no-code or low-code platforms such as n8n, Zapier, Make, or similar automation tools.
  • Experience building artificial intelligence agents or multi-step artificial intelligence workflows.
  • Familiarity with Model Context Protocol, prompt engineering, and agent orchestration.
  • Background in management consulting, revenue operations, enterprise software-as-a-service, or business process transformation.
  • Experience managing enterprise pilots and driving adoption.

About the Company

Hops

Collaborative AI agent workspace for teams

Hops AI builds an AI agent workspace that integrates into a team’s existing tools, functioning as a collaborative AI teammate named Hops within chats, documents, and tables. It works by creating team-specific Spaces where the AI learns from conversations, documents, and connected tools to help generate documents, slides, and dashboards, and it shows its actions and sources for transparency; sensitive actions require human approval. The platform differentiates itself by offering a shared memory and governance within a single workspace, with built-in apps and centralized control over AI spending and data access, rather than a standalone chatbot. Its goal is to free up teams’ time for tasks that need human judgment by improving collaboration, knowledge management, and workflow automation.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Campbell, CA
Founded
Not listed

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