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Fragment

AI-agent platform for enterprise procurement workflows

Agent Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$250k - $400k /yr

About the Job

Requirements

  • Have 7 or more years of relevant experience.
  • Be able to learn new domains quickly and create process maps with decision trees, exception paths, and system touchpoints within days.
  • Think in systems and context-switch across industries and ERP environments, including SAP, Oracle, Coupa, Ariba, and homegrown systems.
  • Translate practitioners' descriptions of exception handling into structured logic that engineering teams can implement.
  • Have technical literacy, including comfort with SQL, ERP schemas, and a practical understanding of agentic workflows, alongside executive communication skills.
  • Be comfortable working on-site with clients in a high-velocity environment and measure success by customer adoption and expansion.
  • Take ownership under pressure.

Responsibilities

  • Facilitate workshops with enterprise stakeholders to map procurement and source-to-pay processes and identify high-value opportunities for autonomous agents.
  • Design customer-specific agent definitions and future-state workflows for how human teams and AI agents share work.
  • Launch and configure customer deployments, connecting Fragment to customer ERP and adjacent procurement systems so agents can operate against live data.
  • Own deployment readiness by ensuring process logic, exception handling, and workflow configuration are ready before go-live.
  • Drive rapid deployment, time-to-value, and measurable return on investment; manage engagements through project management and iterative delivery across customer and Fragment teams.
  • Build playbooks, process documentation, and implementation frameworks to scale delivery.
  • Partner with engineering to refine and expand procurement capabilities; surface edge cases, validate automation logic, and ensure releases address enterprise procurement complexity.
  • Guide user experience from a practitioner's perspective and bring field learnings to research and product teams to improve agents and the roadmap.
  • Help shape the company's view of lean procure-to-pay and source-to-pay processes with AI agents, contribute to thought leadership, and strengthen go-to-market messaging with operational depth.
  • Remain accountable for business KPIs and customer outcomes after go-live, advise customers on using agentic AI across operations, and identify opportunities to expand agent deployments.

Desired Qualifications

  • Experience deploying or configuring enterprise AI or SaaS platforms as a forward-deployed engineer, applied engineer, or deployment specialist.
  • Familiarity with enterprise data pipelines and integrations with existing systems.
  • Exposure to the agentic AI ecosystem, large language models, or automation platforms.
  • Prior experience at a startup or in a fast-moving, ambiguous environment.

About the Company

Fragment

AI-agent platform for enterprise procurement workflows

Fragment offers AI-agent software for enterprise procurement and source-to-pay workflows. Its Autonomous Context Engine links ERP, procurement tools, supplier portals, documents, and internal knowledge without data migration to create a unified operational context. The platform automates and governs workflows such as invoice exceptions, purchase-order mismatches, supplier disputes, and spend analytics, with AI agents acting within existing processes to reduce manual rework. It differentiates itself by layering over current tech stacks instead of replacing them, enabling context-driven automation across sourcing-to-pay and supplier management, with a goal of making enterprise procurement more reliable and efficient.

Company size
11-50
Company stage
Series A
Total funding
$56M
Headquarters
San Francisco, CA
Founded
2025

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