Backed by Y Combinator, Acadian Ventures, and Soma Capital, Arist automates the learning and enablement process end-to-end — giving every leader an AI-powered enablement team in their pocket.
Arist’s platform turns what used to take dozens of tools and hundreds of hours into instant, personalized workflows that are 90% cheaper. From onboarding to sales enablement and compliance training, Arist delivers, tracks, and optimizes every interaction directly in the messaging tools employees already use — SMS, WhatsApp, Slack, and Microsoft Teams.
Under the hood, Arist combines:
Trusted by Fortune 500 companies and large organizations — including Microsoft, HP, Novartis, and the Department of Education — Arist helps teams learn, align, and act faster than ever before.
Our long-term vision: to deliver the right knowledge, to the right person, at the right moment — automatically, through the tools they already use.
We’re hiring a Senior / Founding Forward Deployed Engineer to lead how Arist integrates into customer ecosystems and how those integrations power our AI-driven needs analysis and personalized learning experiences.
This role sits at the intersection of engineering, product, and customers. You’ll work directly with enterprise clients to deploy Arist in a way that feels native to their organization—while also shaping the technical foundations that make those deployments scalable and repeatable.
If you’ve been a principal or lead solutions engineer and are looking for a step up in scope, ownership, and impact, this role is designed for you.
Work directly with customers to deploy Arist’s AI needs analysis in real-world organizational contexts.
Gather and map the right datasets so AI outputs are accurate, safe, and relevant.
Define and apply guardrails that balance flexibility with trust and data integrity.
Deliver experiences where customers say:
“This feels native to our organization—and it just works.”
You will report directly to the Co-founder and Chief Product Officer
Arist runs scalable agentic AI services that integrate both private (Bedrock-hosted Claude, Mistral, Llama) and public (OpenAI, Perplexity) LLMs that drive workflows in a core Ruby on Rails/Vue.js product with real-time messaging and event-driven processing on cloud-native AWS infrastructure.
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