Arcadeai
Forward Deployed Engineer
Austin, TX
Sponsorship not specifiedDetected 15 days ago
JavaScriptTypeScriptPythonDistributed SystemsMongoDBRedisDatabricksVector DatabasesAWSGCPAzureCloud PlatformsKubernetesCI/CDOAuthMachine LearningData EngineeringData ScienceLLMsAgentic AILangGraphAI Orchestration
About the role
- The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
- Arcade is the MCP runtime that gives agents the power to do both seamlessly.
- We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did.
Responsibilities
- Act as the Technical Authority: Partner with AEs to lead technical discovery and evaluations with Head of AI, CTO, and Architect personas.
- Build the "Art of the Possible": Design and build custom prototypes, PoCs, and reference architectures that show exactly how our infrastructure enables real-world AI actions.
- Field-to-Product Loop: Act as the eyes and ears of the market, funneling deep technical feedback back to our Product and Engineering teams to shape the roadmap. We build our product like a private open-source project
- Drive Technical Wins: Navigate complex technical hurdles in deal cycles ranging from $200K+ to seven figures.
- Agentic tool-calling is the next frontier of integration, and you want to build it.
- Evangelist Mindset: You're a willing presenter, excited to speak at conferences, and interested in creating technical content and blogs to help lead the agentic AI conversation.
Requirements
- Hands-on Technical Chops: You are comfortable with APIs, SDKs, and coding in modern languages (Python, JavaScript/TypeScript, etc.).
- You can explain high-level concepts to an executive buyer without losing the technical plot.
- Infrastructure Engineer: You've lived in Kubernetes, containers, service meshes, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines, and you know how enterprise software actually gets deployed.
- You have deep fluency in OAuth 2.0, OIDC, SAML, SCIM, token lifecycles, delegated auth, and the modern identity stack - because agent authorization is one of the hardest problems we solve.
- if a feature or fix is needed to unblock a deployment, you are empowered to make it happen.
Skills
- real actions, on real systems, already shipping inside Fortune 100 companies.
- The Revolution Needs You
- Every AI app needs agentic tools that let AI models take real actions.
- Without tools, AI can only chat.
- With tools, AI can actually do things.
- Think Zapier for AI Actions.
- Think Auth0 for AI.
- Think really big.
- Why This Is The Opportunity of a Lifetime
- He's done this before - and this time the market is 10x bigger.
- He knows this space better than anyone.
- Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro.
Benefits
- Bonus points if you've done meaningful work in data science, ML engineering, or applied AI/ML - it'll sharpen every conversation you have with customer data and AI teams.
Company info
- Real deployments with Fortune-100 customers like Morgan Stanley and Open Table
- We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.
- Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
- Simplify the Complex: Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
- Master the AI Stack: Stay at the bleeding edge of the ecosystem (LangChain, LlamaIndex, Vector DBs) to consult customers on their broader AI strategy.
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