AI Solutions Consultant

Zip • San Francisco, CA

4d

About The Position

The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.
Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend.
We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we’re focused on developing cutting-edge technology, expanding into new global markets, and—above all–driving incredible value for our customers. Join us!
Your role
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.

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 Haves

• Experience with agent-building tools (e.g., n8n, Glean) or familiarity with MCP (Model Context Protocol)
• Background in ERP, P2P, CLM, or procurement systems
• Python or JavaScript scripting experience

Responsibilities

• 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
• Drive successful implementations end-to-end—scoping requirements, documenting architecture, testing configurations, troubleshooting issues, and ensuring smooth go-lives
• 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

Benefits

• 📈 Equity in a hypergrowth company
• 💻 Apple equipment and home office budget
• 🌴 Flexible PTO
• 🚠 Team-building events and happy hours
• 🍱 In-office meals and snacks
• 💊 Medical, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees