Forward Deployed Engineer

The Revolution Needs You

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.

Leadership-Market Fit

• Our CEO previously founded Stormpath (acquired by Okta)
• CTO led the vector database team at Redis and is a contributor to LangChain and LlamaIndex
• CRO, Ben Sabrin, was the founding VP of Sales at MongoDB (scaled 0–$60M) and an early leader at JBoss and Okta

Dream Team

• Authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, and HPE

Precise 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

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, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase

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
• 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 (LangChain, LlamaIndex, 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
• Deep Integration & Systems Architecture Fluency: You've lived the reality of connecting enterprise systems in any form: iPaaS (MuleSoft, Workato, Boomi), ETL/ELT (Informatica, Fivetran, Airbyte), RPA (UiPath, Automation Anywhere), or API gateways and service mesh (Apigee, Kong, Istio)
• Hands-on Technical Chops: You are comfortable with APIs, SDKs, and coding in modern languages (Python, JavaScript/TypeScript, etc.)
• Curiosity & Business Acumen: You don't just answer technical questions; you dig deep to understand the "why" and the business impact of a solution. You can explain high-level concepts to an executive buyer without losing the technical plot
• 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
• AI-Forward Mindset: You actively use AI in your daily workflows and are eager to master the agentic landscape

Bonus Points

• You've built with LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar — and you've felt firsthand the pain of giving agents real-world capability
• You've shipped production microservices and understand what it takes to run, observe, and scale distributed systems in the real world
• 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
• 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