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Zip Enablement Manager; Procurement
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-19
Listing for:
Swoon
Full Time
position Listed on 2026-07-19
Job specializations:
-
IT/Tech
AI Business & Operations, Change Management
Job Description & How to Apply Below
- Enhance the end-to-end employee experience in Zip (the “single front door” for spend requests), ensuring requests are simple to submit, easy to track, and routed correctly.
- Redesign and continuously improve intake questions, forms, conditional logic, and guided buying flows to reduce friction while strengthening policy compliance and review quality.
- Configure and optimize automate workflows
: routing rules, approval chains, automations, and handoffs so the right stakeholders (Finance, Legal, Security, IT, etc.) are engaged at the right time. - Drive both strategic enhancements (new lanes/workflows, major UX improvements) and small but high‑impact changes (copy tweaks, field validation, smarter defaults, better request‑type clarity).
- Identify pain points using request data + feedback loops; run a steady cadence of experiments/A‑B tests and ship measurable improvements in cycle time, rework, and requester satisfaction.
- Expand and operationalize AI‑enabled procurement experiences in Zip (e.g., procurement AI agents), and partner to infuse OpenAI capabilities into intake, triage, guidance, and reviewer workflows.
- Partner with Procurement Ops, AP, Finance, Legal, Security, and Enterprise Tech to ensure configurations align to controls, reporting needs, and integrated systems across the intake‑to‑pay lifecycle.
- Create runbooks, governance, and enablement materials (training, change comms, release notes) to support adoption and consistent usage at scale.
- Hands‑on experience administering/configuring Zip (intake‑to‑procure / intake‑to‑pay), including forms, workflow routing, approvals, and conditional logic.
- Strong understanding of procurement intake and orchestration concepts (standardized intake, visibility, compliance‑by‑design).
- Practical AI/automation mindset: comfort deploying AI‑assisted workflows/agents and translating user pain points into AI‑enabled product improvement.
- Highly execution‑oriented: can independently find issues, propose fixes, and ship improvements quickly while keeping stakeholders aligned.
- Data‑driven and UX‑sensitive: uses metrics + user feedback to prioritize work and prove impact.
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