Remote Senior Platform Engineer – Analytics & Dashboards

Ubq; La Pampa; Remote; ARS 181,747,000 - 272,620,000; Full time

Job summary

vidIQ is hiring for a frontend-leaning role where you will own entire product surfaces from end to end, including the UI, APIs, data dependencies, and production performance. You will shape how millions of creators experience vidIQ and help define how the engineering team builds software in an AI-enabled world.

You will ship AI-powered features across the stack, from backend model integration to frontend UX, while collaborating across teams to iterate and improve rapidly in a remote, globally

Qualifications

• Proven track record shipping modern frontend features with scalable UI.
• Strong understanding of API design and data flows.
• Experience integrating AI features into product surfaces.
• Ability to operate across the stack and own end-to-end delivery.

Responsibilities

• Own product surfaces end to end including UI, APIs, data, and production performance.
• Collaborate across frontend and backend to implement features from concept to production.
• Drive roadmap via user feedback, data, and codebase insights.
• Develop AI-powered experiences including model integration and UX for AI outputs.
• Identify and fix architecture and performance bottlenecks across the stack.
• Incorporate AI tooling and workflows into team practices.

Skills

Frontend development

API design

Code review

AI integration

Tools

Claude Code

Cursor

GitHub

Job description

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at

About the Team

Our vision is to build a personal copilot for every YouTube creator. We work in small, focused teams where people are expected to understand the problem, make decisions, and take ownership of the outcome.

We value people who are strong in their craft, communicate clearly, challenge ideas with respect, and follow through from problem to production.

We’re also an AI-native team. We build AI into our product and use it every day in how we work—from writing and reviewing code to debugging, testing, prototyping, and exploring new ideas.

About the role

This is a frontend-leaning role, but you won't stop at the frontend. You'll own entire product surfaces from end to end: the UI, the APIs behind it, the data it depends on, and how it performs in production. We expect you to understand the problem, decide what to build, and ship it.

You'll shape how millions of creators experience vidIQ, and you'll help define how our engineering team builds software now that AI is a real collaborator.

This is a remote position open to candidates worldwide. Employment classification and engagement structure will be determined based on location, legal requirements, and mutual fit.

What you will do

• Own product surfaces end to end. You'll be the go-to owner for key parts of vidIQ, we serve over 1M daily active creators. You'll set their direction, track how they perform, and decide what to improve next.
• Work across the stack. You'll build and change backend APIs, services, and data flows when a feature needs it, instead of waiting on another team.
• Drive your own roadmap. You'll spot opportunities in user feedback, data, and the codebase, turn them into proposals, align with product and design, and deliver without needing to be managed closely.
• Build AI-powered product experiences. You'll ship LLM-driven features across the stack, from model integration and prompts on the backend to streaming responses, error handling, and clear UX when model output is unpredictable.
• Fix architecture and performance problems. You'll find bottlenecks and weaknesses anywhere in the request path, frontend or backend, and leave the system better than you found it.
• Make AI part of how the team works. You'll use tools like Claude Code, Cursor, and GitHub