Senior Solutions Engineer

We are looking for a Senior Solutions Engineer to join our Professional Services team. This is not a traditional consulting role—you will embed directly with our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.

In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions—all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's AI SDK. You will be equally comfortable leading a technical discovery session with engineering leadership as you are refactoring a complex rendering strategy or optimizing an agentic workflow.

Our Solutions Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value—all while building long-term relationships that expand our partnership with each customer.

You will report to the Director of Professional Services and will be remote-first with significant travel (25-40%) to customer sites for embedded engagements.

5+ years of experience in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions engineering, forward deployed engineering, or technical founder experience).

Expert-level TypeScript skills —this is your primary language. You write production TypeScript daily and have strong opinions on type safety, patterns, and tooling.

Deep expertise in Next.js , with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), incremental static regeneration (ISR), and edge functions.

Demonstrated experience leading frontend migrations —you've modernized legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.

Mastery of React and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.

Production experience with LLMs and AI applications , including prompt engineering, agent development, and tool use patterns. Familiarity with Vercel's AI SDK is strongly preferred.

High agency with comfort in ambiguity —you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to drive outcomes.

Exceptional communication skills with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships—all with a low-ego, collaborative approach.

Business acumen to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.

Willingness to travel 25-40% to customer sites for embedded work and relationship building.

Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.

Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.

Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool-use patterns in production AI applications.

Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.

Have worked with micro-frontends, module federation, or multi-team frontend architectures.

Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.

Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.

Have a background in financial services, healthcare, retail/e-commerce, or media—industries with complex frontend ecosystems and growing AI adoption.

Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.