Senior Forward Deployed Engineer

## About the company Maven AGI is an enterprise AI platform on a mission to transform customer support with production-grade AI agents. Founded in July 2023 by executives from HubSpot, Google, and Stripe, Maven builds conversational AI that helps enterprise teams deliver accurate, autonomous support at scale. Our platform connects fragmented systems, integrates knowledge and personalization sources, and enables intelligent actions without requiring customers to replace their core systems. We started with customer support because the current experience is slow for customers, expensive for companies, and overloaded for human agents. Maven has assembled a world-class team from Google, Meta, Amazon, Microsoft, and Stripe, and is supported by executives and advisors from OpenAI, Google, HubSpot, and Stripe. ## About the role As a Senior Forward Deployed Engineer at Maven AGI, you will own post-sale technical implementation for strategic enterprise customers. You will work directly with customer teams to turn ambiguous support workflows into production AI systems: scoping requirements, building integrations, configuring Maven, debugging edge cases, validating quality, launching safely, and iterating from real-world usage. This is not a demo-only or pre-sales engineering role. You should be a hands-on builder who is comfortable in front of customers and equally comfortable writing code, working with APIs, reading logs, reasoning through data flows, and making practical tradeoffs under delivery pressure. ## Responsibilities - Own post-sale implementation workstreams from kickoff through production launch and early customer success. - Translate messy customer support workflows into concrete technical plans, milestones, risks, and launch criteria. - Build and debug integrations across systems such as CRMs, ticketing platforms, CCaaS tools, knowledge bases, data warehouses, identity providers, and internal customer APIs. - Configure and extend Maven using JavaScript, TypeScript, Node.js, APIs, webhooks, and the Maven SDK. - Prototype quickly when customer requirements are ambiguous, then turn the right parts into reliable production implementation. - Design and run practical quality checks for AI behavior, including answer quality, retrieval quality, action correctness, escalation behavior, and regression risks. - Set up launch readiness plans across testing, observability, logging, fallback behavior, rollback paths, and customer signoff. - Partner with Product and Engineering when field work reveals platform gaps, repeated customer needs, or reusable implementation patterns. - Communicate clearly with customer operators, technical teams, executives, and internal Maven teams throughout the deployment. ## What Success Looks Like - Customers launch Maven into production with clear scope, strong technical execution, and measurable support impact. - Implementation risks are surfaced early, owned directly, and resolved with practical technical judgment. - AI workflows are t