AI Solution Consultant - Post-Sales

4d4 days ago

Relevance AI

San Francisco, US · Full-time · $140,000 – $180,000

About this role

At Relevance AI, we're building the home of the AI workforce, empowering every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. We're looking for an AI Solution Consultant to join our dynamic team with a primary focus on post-sales implementation, blending hands-on delivery with light pre-sales support.

In this role, you will lead post-sales implementations end-to-end, from discovery through design, build, UAT, launch, and hypercare. You'll co-design, architect, and develop production-grade AI agents at Enterprise scale using our low-code/no-code platform, and code where it counts.

You will work directly with Enterprise customers to drive technical success, product adoption, and measurable outcomes during high-impact implementations. Our team thrives on curiosity, collaboration, and execution — we move fast, think big, and win together, operating on a hybrid model from our San Francisco and Sydney headquarters.

This is an exciting opportunity for someone passionate about agentic AI and creative problem-solving to transform businesses with intelligent automation. You'll also channel customer insights to influence our product roadmap and reusable solution patterns, helping define how the world works with AI.

Requirements

Experience leading post-sales implementations end-to-end for enterprise customers.
Proficiency in building and integrating with REST/GraphQL APIs, webhooks, and event-driven architectures.
Hands-on experience with authentication protocols (OAuth2/JWT), data mapping, and error handling.
Ability to configure agent workflows, prompts, tools, and retrieval/RAG pipelines.
Experience developing lightweight Python automations and custom connectors/middleware.
Strong troubleshooting and root-cause analysis skills for Tier 2/3 support.
Experience enabling and training customers through workshops and co-development sessions.
Ability to balance post-sales delivery with light pre-sales support (~20% of time).

Responsibilities

Lead post-sales implementations end-to-end (discovery → design → build → UAT → launch → hypercare), owning scope, delivery, customer enablement, and business impact.
Build and integrate production AI agents with customer systems via REST/GraphQL, webhooks, and events; handle auth (OAuth2/JWT), data mapping, and robust error handling.
Configure agent workflows, prompts, tools, and retrieval/RAG; establish evaluation, guardrails, and reliability standards for quality and safety.
Develop lightweight Python automations and custom connectors/middleware to meet integration needs.
Set up observability (logging, metrics, tracing, alerting) and create clear runbooks, playbooks, and technical documentation.
Provide Tier 2/3 troubleshooting and root-cause analysis; drive durable fixes and continuous improvement post-go-live.
Enable and train customers to be self-sufficient builders on the Relevance AI platform through workshops, onboarding, co-development sessions, and best practices sessions.
Act as a strategic partner by channeling customer insights to Product; influence roadmap and reusable solution patterns.

Benefits

Hybrid work model (3 days in office in San Francisco).
Opportunity to work with cutting-edge agentic AI technology.
Be part of a company backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital.
Named LinkedIn's #1 Startup in Australia.
Work with industry-leading customers like Canva, Databricks, Confluent, and Autodesk.