Senior Solutions Consultant (AI Work Platform, AI Intranet, AI Search, AI Agents)

Every enterprise software company claims to be 'AI-powered.' Simpplr customers can actually prove it. With an AI Intranet, AI Search, and AI Agents that lift real work off real employees' desks every day, Simpplr is a 4x Leader across Gartner, Forrester, G2, and IDC. The AI arms race in the employee experience category has never been hotter.

We’re hiring a Senior Solutions Consultant who can walk into a room of skeptical IT leaders and make agentic AI feel less like hype and more like the obvious next move. If you can talk fluently about MCP servers, RAG pipelines, and API architecture and then translate that into 'here’s how this gives your employees back 40 hours a week', keep reading.

You’ll join a company that’s winning analyst recognition in one of the fastest-moving categories in enterprise software—and you’ll be the person in the room who makes that AI story real for customers. We offer a flexible Hub-Hybrid-Remote model, generous PTO, competitive pay and equity, and a culture that genuinely means it when it says people come first.

If you want to sell AI you actually understand and help write the next chapter of how enterprises work, we want to hear from you.

Your Job Responsibilities

What you will be doing:

• Own the technical win in complex enterprise deals. Partner with Account Executives or Account Managers from discovery through close on Simpplr’s AI Work Platform, AI Intranet, AI Search, and AI Agents.
• Run technical discovery that goes past 'what tools do you use' into how a customer’s HRIS, ITSM, Slack/Teams, and knowledge systems actually connect and then map that to a real solution architecture.
• Design and deliver live, tailored demos and proof-of-concept builds that show AI Agents automating real workflows, not canned scripts.
• Architect and prototype agentic workflows and integrations; wiring Simpplr’s AI Agents into customer systems via APIs and MCP tool connections to prove value before contracts are signed.
• Lead and own responses to RFPs, RFIs, and questionnaires, translating architecture into procurement-ready answers.
• Stay sharp on the competitive landscape and arm sales with sharp, technically credible positioning.
• Feed what you hear in the field back to Product and Engineering, and represent Simpplr’s AI story externally through webinars, conferences, and content.

Your Skillset

What makes you a great fit for the team:

• 7+ years in solutions consulting, sales engineering, or technical pre-sales at an enterprise SaaS company. You’ve owned the technical thread of a complex deal from discovery to close.
• Hands-on fluency with LLM APIs: OpenAI, Azure OpenAI, Anthropic, Google Gemini, Amazon Bedrock. This goes beyond just using a chat interface. You’ve actually called these APIs and built something with them.
• Working knowledge of MCP (Model Context Protocol) and how it’s used to connect AI agents to enterprise tools and data, plus practical grounding in RAG, vector databases, prompt engineering, and function calling.
• Strong command of REST/GraphQL APIs, webhooks, and enterprise integration and identity patterns; SSO, SAML, SCIM, OIDC, iPaaS/middleware enough to architect and troubleshoot a real integration, not just describe one.
• Comfort with light scripting or development (Python, JavaScript, or similar) to stand up custom demo environments and proof-of-concept integrations.
• A track record of translating dense technical concepts into business outcomes for VP- and C-level audiences, and of leading RFP/RFI and security-questionnaire responses.
• Sharp, confident presence in live, high-stakes demos. You can handle a curveball question about architecture without losing the room.

We’d especially love to hear from you if:

• Prior experience selling or supporting an intranet, employee experience, ITSM, or HR-tech platform.
• You’ve personally built or prototyped an MCP server, custom GPT/agent tool, or AI agent integration for a customer, a side project, or just to see if you could.
• Experience presenting at industry conferences or webinars as a technical AI evangelist.
• Cloud or AI platform certifications (AWS, Azure, GCP, or a major LLM vendor).