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As a Solutions Consultant on the Zip AI team, you'll be the technical partner enterprise customers trust to bring AI-powered automation to life. You'll work hands-on with procurement, finance, and operations leaders to design, build, and deploy AI agents that transform how their teams work—from invoice processing to contract review and beyond. This role blends deep technical work with strategic customer engagement. You'll architect agent workflows, optimize prompts, integrate with complex tech stacks, and guide customers from initial discovery through successful deployment and expansion. Working closely with Sales, Customer Success, and Product, you'll help customers unlock the full potential of Zip's AI platform while bringing field insights back to shape our roadmap. You'll work with a variety of industries and company stages. Current customers include Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks.
Job Responsibility:
Partner with Sales and Customer Success to deeply understand customer requirements, translate them into technical solutions, and serve as a trusted advisor from initial evaluation through deployment and expansion
Lead technical discovery to map customer workflows, identify automation opportunities, and design agent architectures that deliver measurable value
Build and optimize AI agents—configuring workflows, writing and refining prompts, and tuning agent behavior to meet customer requirements
Own integrations between Zip AI agents and customer systems (ERPs, CLMs, ticketing, TPRM, and other procurement tools) using middleware and iPaaS platforms
Enable customer teams to manage and improve their agents, building confidence and long-term self-sufficiency
Gather insights on how customers are deploying AI agents, identify emerging patterns, and deliver structured feedback to Product and Engineering
Requirements:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Solutions Engineer, Technical Consultant, or Implementation Engineer
Hands-on experience building or deploying AI/LLM-powered solutions, with a working understanding of functional LLM fundamentals and prompt engineering
Strong technical credibility—you can lead architectural discussions, work through complex integration challenges, and earn the trust of technical stakeholders
Experience with middleware platforms, iPaaS tools, or integration architecture
comfortable with REST APIs, webhooks, and authentication protocols
Track record of managing enterprise customer engagements and delivering successful implementations in fast-paced environments
Strong communication skills with the ability to translate technical concepts for non-technical stakeholders across procurement, finance, and operations
Extreme attention to detail and a relentless focus on customer outcomes
Nice to have:
Experience with agent-building tools (e.g., n8n, Glean) or familiarity with MCP (Model Context Protocol)
Background in ERP, P2P, CLM, or procurement systems