Full-Stack Product Engineer

The posting, as Replay wrote it

ABOUT REPLAY

We are building the first-ever bank for enterprise data. There are over 35 million businesses in the US alone, many of which are sitting on an asset they don’t know they have. At Replay, we help businesses monetize their historical operating data by licensing it to the frontier AI and data labs for model training. Replay sits at the intersection of advancing the frontier of AI, while helping companies generate millions in growth capital without having to give up equity, take on debt, or lay off employees.

WHY JOIN REPLAY NOW

• We have scaled from $0 to a multi-eight-figure run rate in a matter of months
• We have raised from top-tier investors, including Floodgate, Afore, Ludlow, and Hustle Fund
• We are small enough that you will carry outsized responsibility and grow as quickly as the company does
• You will partner with and build for some of the fastest and most important companies in the world
• You will help build a massive, category-defining business from the ground floor

THE ROLE

We're hiring full-stack product engineers to own hard customer problems from the first product decision through reliable production systems. You will work across UX, frontend, backend, data, testing, observability, and iteration—not simply one layer of the stack.

We have opportunities across three connected product areas: acquiring internal enterprise work data from the systems where it lives, guiding companies through dissolution, and building the product layer around a de-identification pipeline that makes sensitive data safe and useful. You do not need prior experience in these domains. Each opening is tied to a real area of ownership, and we will be clear early in the process about which current opening appears most relevant to your experience.

WHAT YOU'LL DO

• Own ambiguous customer or internal-team problems from discovery through measurable production outcomes
• Build coherent vertical slices across frontend, backend, workflow state, data, testing, observability, security, and release
• Make complicated processes clear without hiding exceptions, uncertainty, or recovery paths
• Diagnose difficult production behavior and remove recurring root causes
• Establish useful measurements and improve customer, team, quality, or reliability outcomes
• Create reusable product and engineering capabilities that make later work faster and safer
• Use AI deeply in development and where it improves the product, with explicit evaluation and verification
• Work directly with Product, Design, customers, domain experts, and other engineers

PROBLEMS YOU MIGHT OWN

The common thread across our product is turning difficult, failure-prone work into software people can understand and trust. These areas share one Full-Stack Product Engineer title and hiring bar, but they represent distinct work and ownership. You do not need to choose one when applying. We will discuss the most relevant current opening early, and the placemen
[…]
ated work decline as the product improves

• What you build creates reusable leverage for later work, including responsible and verified uses of AI

YOU MIGHT THRIVE HERE IF

• You have at least three years of professional software engineering experience
• You are a strong full-stack engineer with excellent product and UX judgment
• You have worked in a startup and enjoy broad ownership, changing context, and building without fully specified requirements
• You have owned ambiguous problems from discovery through implementation, production operation, and iteration
• You can make complex workflows clear while reasoning carefully about state, data integrity, testing, security, observability, and recovery
• You use evidence to debug systems and measure whether your work improved the outcome
• You use modern AI engineering tools fluently, verify their output, and understand how to evaluate AI product behavior
• You communicate clearly across technical and customer-facing teams

THIS ROLE MAY NOT BE FOR YOU IF

• You want to work exclusively in one layer of the stack
• You need a clean handoff between product definition, design, and engineering before you begin
• You prefer predictable feature work over ambiguous product and systems problems
• You do not want AI tools to be part of your daily engineering workflow

BONUS

• Strong TypeScript, React, Node.js, or comparable full-stack experience
• Experience with integration-heavy SaaS, APIs, OAuth, uploads, files, or asynchronous workflows
• Experience with document workflows, internal tools, evaluation systems, data quality, or production diagnosis
• Experience building high-fidelity, resettable simulation or evaluation environments using synthetic data, seeded failure modes, multi-step state, and programmatic verifiers to test data or AI systems
• Experience with multi-tenant, compliance-sensitive, or otherwise high-trust products
• Experience shipping trustworthy AI-assisted workflows