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Forward Deployed Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Arcade AI, Inc
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 200000 USD Yearly USD 200000.00 YEAR
Job Description & How to Apply Below
Everyone's talking about AI. But here's the truth:
ChatGPT can't send your emails. It can't book your flights. It can't even order you lunch.

Why? Because AI is trapped in a chat box. It can't take real actions in the real world.

We are changing that forever. We're not just building another AI company - we're creating the infrastructure that will power every AI application you'll use in the future.

The Revolution Needs You

Every AI app needs agentic "tools" - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI actions. Think Auth0 for AI. Think really big.

Why This Is The Opportunity of a Lifetime
  • Leadership-Market Fit :
    Our CEO previously founded Stormpath (acquired by Okta), our CTO led the vector database team at Redis and is a contributor to Lang Chain and Llama Index, and our CRO, Ben Sabrin, was the founding VP of Sales at Mongo

    DB (scaled 0-$60M) and an early leader at JBoss and Okta.
  • Dream Team :
    We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, and HPE who've built and scaled multiple successful developer platforms.
  • Perfect Timing :
    We're at the inflection point of AI adoption. The biggest problem isn't better models - it's connecting AI to real-world actions. That's us.
  • Massive Market :
    We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.
  • Backed By The Best:
    Our investors have backed Databricks, Clickhouse, Mongo

    DB, Perplexity, Cohere, Scale

    AI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.
The Challenge

We need Forward Deployed Engineers who are deeply technical, incredibly articulate, and possess an insatiable curiosity for what's possible. You aren't just giving demos; you are a systems thinker who can walk into a Fortune 500 customer and understand their entire technology landscape - identity, data, application, and governance layers - to design architectures that survive a rigorous security review. You'll need to stay three steps ahead of the rapidly evolving Agentic AI ecosystem, mastering LLM orchestration, autonomous agent frameworks, and the complex world of tool-calling and action-oriented infrastructure.

You won't just be a vendor; you'll be a trusted consultant helping customers architect the transition from passive chat to active, automated intelligence.

What You'll Do
  • 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.
  • Simplify the Complex:
    Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
  • 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; if a feature or fix is needed to unblock a deployment, you are empowered to make it happen. You can take customer learnings to create working prototypes and systems that can eventually become part of the core platform.
  • Drive Technical Wins:
    Navigate complex technical hurdles in deal cycles ranging from $200K+ to seven figures.
  • Master the AI Stack:
    Stay at the bleeding edge of the ecosystem (Lang Chain, Llama Index, Vector DBs) to consult customers on their broader AI strategy.
Required Skills
  • 3+ years of experience as a Pre-Sales/Solutions Engineer, Solutions Architect, or technical consultant who has sold highly technical infrastructure (Databases, Security, Integration, or Cloud), or an engineer ready to pivot into FDE, we want to meet you.
  • Deep Integration & Systems Architecture Fluency:
    You've lived the reality of connecting enterprise systems in…
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