Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Emerging Products Design Team

Emerging Products is an org pillar inside Auth0. We figure out what's next. You'll be designing systems that help developers secure AI agents, manage granular permissions, and build on identity primitives that don't fully exist yet.

Engineers, PMs, and Designers work on the same problems at the same time. There is no design-then-build sequence. There's just build.

What you’ll be doing

When everyone on the team can generate UI, the designer's role shifts. You become the person responsible for taste, quality, experience, and customer voice. You hold the quality bar when speed is pushing everything toward "fine."

• Prototype at volume: Use AI tools and code to explore dozens of directions fast, then narrow based on what works and what solves the actual problem.

• Design in the codebase: Work within our React and Next.js environment to refine components and interactions where users will actually experience them.

• Simplify complexity: Turn authorization models, SDK patterns, and security flows into interfaces that feel clear without losing precision.

• Raise the craft: Help the broader design org see what this way of working looks like in practice. We're all figuring this out together.

What you’ll bring to the role

• You have craft: This matters most. Considered typography, intentional spacing, polished micro-interactions, details that show someone genuinely cared. We're looking for someone with a refined sense of design taste/aesthetics and a deep appreciation for the details that create a polished user experience.

• You build: 6+ years of design experience, but somewhere along the way you started prototyping in the browser, shipping side projects, or writing production code because you wanted the interaction exactly right.

• You have a real AI practice: Not experimentation, but an actual workflow. You have opinions about where AI tools help and where they fall short.

• You design for developers: Tools, APIs, CLIs, SDKs, and admin dashboards. You know "simple" means something different for this audience.

Note for when applying

In your application, please include a link to your portfolio with password (if protected). We prioritize a review of your design craft and any examples of your work in code.

#LI-AR

#LI-hybrid

P24609_3424944

About the Role

We are hiring a full-stack builder (AI-First) with a strong focus on front-end delivery for our B2C MobileNext pre-purchase and post-purchase experience. The team owns key customer journeys across homepage, browse pages, deal pages, voucher creation, receipts, and post-purchase pages. This is a hands-on role for someone who can move fast, solve problems independently, and use AI tools as part of everyday engineering work.

Key Responsibilities

• Use AI tools to accelerate coding, debugging, and problem solving without losing engineering quality.
• Build and improve customer-facing experiences
• Own features end to end, from understanding the problem to shipping and debugging in production.
• Work closely with product, design, and engineering partners to improve pre-purchase and post-purchase flows.
• Contribute to code quality, maintainability, and practical technical decisions.
• Support testing and validation, including end-to-end testing where relevant.
• Help the team move through ambiguity and delivery pressure with a calm, structured approach.

Key Requirements

• Hands-on experience with TypeScript, React, Next.js, Node.js, and GraphQL.
• Solid front-end engineering skills and comfort working in a modern JavaScript ecosystem.
• Proven ability to solve problems independently with minimal hand-holding.
• Practical AI-first mindset: uses AI tools to work faster and smarter.
• Good debugging skills and sound technical judgment.
• Clear communication and ownership in a fast-changing environment.
• Ability to work from one of the supported hubs, with regular office attendance as required.

Nice to Have

• Experience with GraphQL.
• Experience with end-to-end testing.
• Experience working on customer-facing B2C products.
• Experience improving conversion, or purchase-related journeys.
• Exposure to full-stack work beyond the front end.
• Familiarity with tools such as Claude, Cursor, Copilot, or similar AI coding assistants.

What Success Looks Like

Build and improve the experiences that customers use before and after purchase, with a strong focus on speed, quality, and AI-assisted engineering. You will help shape the web and app journeys that directly affect how customers discover deals, complete purchases, and manage their orders.

We Are Interested In 

• Candidates who like solving real product problems, not just writing code.
• People who learn quickly and can work through changing priorities.
• Engineers who are proactive, curious, and easy to trust with ownership.
• Candidates who can explain how they think, not only what they have built.

What We Offer

• Impact at scale: Help shape the experiences millions of customers use before and after purchase, with real influence on how the product evolves.
• Ownership, not just delivery: You’ll own key journeys end to end
• AI‑first environment: Full access to AI coding tools, including a Claude Max plan and other approved assistants, integrated into your everyday workflow.
• Flexible working hours and hybrid model
• Attractive bonus and benefits package
• Growth across stacks: Plenty of opportunity to stretch beyond front‑end into full‑stack, testing, and automation.
• Culture of speed and learning: A team that values data‑informed decisions, experimentation, and smart automation over pure process.

#LI-KH1  #LI-Hybrid

About the Role

📍Hybrid from Madrid or Valencia 

You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.

Key Responsibilities

• Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
• Engineer Chain of Thought reasoning flows and integration layers that power agent logic
• Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
• Design node-based tools for intent retrieval, context management, and API routing
• Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
• Maintain a high bar for software quality and reliability while innovating at speed
• Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Key Requirements

• Experience with TypeScript, Node.js, Express, React, Next.js, and SQL
• Practical knowledge of Docker, Kubernetes, and Linux environments
• Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
• An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
• Proven track record of shipping software to production

Nice to Have

• Proficiency with Cursor or Claude Code 
• Knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)

What Success Looks Like

First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.

First 60 days: Deep dive into a key product area’s architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.

First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.

One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.

We Are Interested In

A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of “Old School” engineering discipline (reliability, structure) and “New Wave” AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI. 

#LI-KH1  #LI-Hybrid

About the Role

Senior Full-Stack Engineer — CoreApps Platform (AI-native, Encore)

A builder role on the team that powers Groupon's global commerce engine.

CoreApps Platform is the foundational engineering group powering Groupon's global commerce engine — every customer interaction and every transaction, worldwide. This is a builder role: you take features from problem statement to production across backend, frontend, CI/CD, and test automation, using Claude Code as your daily leverage tool. You own the whole slice. You unblock yourself. You ship.

What You'll Do

• Drive features end-to-end. Backend services, frontend surfaces, CI/CD pipelines, test coverage, deploy, monitor — the whole vertical slice. No handoffs, no "that's someone else's team."
• Ship on legacy and cutting-edge together. Modernize Java / Ruby systems into TypeScript / Node.js on Encore, while keeping services at 100K+ RPM running cleanly.
• Operate Claude Code natively. Daily agentic workflow with MCPs, skills, hooks, evaluation patterns — AI is not a productivity add-on, it's how you collapse FE + BE + DevOps + QA into a single-engineer scope.
• Cut through red tape. Find the path. Kill process that doesn't protect anything. Respect process that does. Escalate when you can't, ship when you can.
• Lift your peers. Share patterns, unblock teammates, leave the codebase cleaner than you found it.

Must Have

• 5+ years shipping production software, with deep production TypeScript / Node.js as your primary backend stack (NestJS / Fastify / Encore or similar, named and used).
• Full-stack range. You've owned features across backend and frontend, and you're comfortable in CI/CD pipelines, test automation, and production debugging. Specialist-only profiles (backend-only, frontend-only) will not fit this role.
• Claude Code native. Daily use with a demonstrable personal setup — MCPs, skills / agents, hooks, or equivalent automation. You can screen-share it. Autocomplete-only and Cursor-only do not qualify.
• Builder bias. Evidence of projects you drove beginning to end — scoped the problem, designed the approach, shipped it, operated it. No "I contributed to…" answers — we want what you built.
• Distributed systems fundamentals — API design, SLOs, structured observability, on-call ownership.
• High-bandwidth communication — written and verbal, across technical and non-technical audiences.

Nice to Have

• Java or Ruby reading fluency (for navigating the source systems being migrated).
• E-commerce / marketplace scale experience.
• Encore, Temporal, or similar workflow frameworks.
• Frontend frameworks used in anger (React, Next.js).

What Success Looks Like

First 30 days: operating in the team's AI workflow on day one — Claude Code setup running, first PR merged, owning a service.

First 90 days: shipped at least one end-to-end feature across the full stack, reduced a real bottleneck, demonstrably faster velocity than traditional backend-IC pace.

First 180 days: the team points to work only you could have driven at that pace — migration cutovers, FE + BE features shipped as single units, tooling peers now depend on.

We Are Interested In

Builders. Engineers who take scope from "this is a problem" to "this is in production" without waiting for permission. Fluent in Claude Code as the force multiplier that makes one engineer effective across backend, frontend, DevOps, and QA. Deep in TypeScript, comfortable anywhere in the stack, energized by cutting through noise and shipping. If you wait to be told what to do, this role will frustrate you.

#LI-KH1  #LI-Hybrid