Forward Deployed Engineer, Operations
AI summary of the role
Forward Deployed Engineer embedded with internal teams (Ops, Product, CS, Sales) at a fintech startup building the financial OS for SMBs.
What you’ll do
- Own internal AI data infrastructure and build AI agents/agentic workflows to enable teams.
- Build internal versions of Sales, CS, and Marketing tools instead of buying SaaS.
- Develop and maintain Ops, Finance, and Super Admin dashboards plus their automations.
- Take prototypes to production systems: internal apps, integrations, features for new verticals.
What you’ll bring
- Deep architectural knowledge and platform/infrastructure fluency (Kubernetes, cloud, data pipelines).
- Strong full-stack engineering ability, shipping production code independently.
- AI-native operating bias: use multiple models, custom agents, and specialized contexts by default.
- Proficiency in TypeScript, Next.js, Python, and Go or Rust, Kubernetes, PostgreSQL, AWS.
Technologies
TypeScript · Next.js · Python · Go · Rust · Kubernetes · PostgreSQL · AWS · RabbitMQ · AI agents
Source and classification
Internal deployment & tooling · Evidence for this classification:
who can take a real business problem, understand why it matters, and build the system that solves it. You'll own initiatives end to end, partner closely with operations, data, and product, and explore net-new product POCs and build internal tooling, automations and AI agents / agentic workflows that help the whole company move faster. This is an internal-facing role. Your customers are our own Ops, Product, Customer Success and Sales teams. Think of it as playing forward-deployed engineer for Alternative Payments itself: embedded with the teams that need you, understanding their real problems, and building the systems that solve them. Examples of what’s you’ll own: Internal AI data infrastructure that consolidates what we know about our business and makes it usable across teams. Put AI at the center of how you work. We're an AI-forward team and expect you to build with it by default,
More from the job description
Alternative Payments is building the financial operating system for SMBs, consolidating the disconnected tech stack that holds service-based businesses back. Starting with MSPs, we've spent five years perfecting accounts receivable, and we're now expanding into accounts payable, AI-powered analytics, and beyond. We're at an inflection point: closing the loop on money movement and laying the foundation for a platform that will reshape how service businesses operate financially. We're growing fast, thinking big, and building a global team that wants to be part of something that lasts. We believe the best solutions come from diverse perspectives, deep collaboration, and a shared obsession with customer impact. If you're energized by real problems, real customers, and real impact, we want to hear from you! Why should you apply for this role? We're looking for a Forward Deployed Engineer who can take a real business problem, understand why it matters, and build the system that solves it. You'll own initiatives end to end, partner closely with operations, data, and product, and explore net-new product POCs and build internal tooling, automations and AI agents / agentic workflows that help the whole company move faster. This is an internal-facing role. Your customers are our own Ops, Product, Customer Success and Sales teams. Think of it as playing forward-deployed engineer for Al [... source excerpt omitted ...] age ideas before they become full initiatives, bringing business context and translating it into technical decisions. Guardrails on AI-assisted development. Our BizOps team ships production code with AI assistance. You'll review that work (architecture, infrastructure decisions, PRs) to make sure it's safe, reliable, and doesn't quietly generate tech debt we have to unwind later. Build for reliability, not just speed. Design and build systems with real attention to reliability, performance, and maintainability. This is software that moves real money, so the bar is production-grade from day one. Plug into the engineering team through code review, architecture feedback, and shared [... source excerpt omitted ...] at you ship is production-grade and you get sharper with every initiative. You'll sit within Engineering but work alongside our Business Operations and Product Engineering teams. You will support our non-technical subject matter experts in deploying product to our production codebase, building systems from scratch and refining our coding harnesses to make them more use-friendly for non-technical users. We run parallel initiatives in small, high-autonomy teams, and we expect the people who join us to step up, make decisions, and take accountability for outcomes, technical and otherwise. What you'll bring Deep architectural knowledge. You can look at a system and tell whether i
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