• Type: Full-time

• Location: CABA

• Level: Lead

• Reports to: Head of Engineering

THE ROLE

We build complex web applications: data-heavy tables, multi-step workflow builders, and automation

tools used by enterprise sales and marketing teams at companies like MongoDB, Redis, and Typeform.

Our platform is powered by AI agents that orchestrate workflows, enrich data, and make decisions

at scale. The frontend is where that complexity becomes visible to users, and it needs to be fast,

reliable, and easy to extend.

We are looking for a Frontend Lead based in Buenos Aires who will own the architecture, set the

standards, and do the work. This is a hybrid IC role with technical leadership scope: you will make

the big calls on how we build UIs across the product, mentor engineers on the team, and jump into

the backend when a feature requires it.

You’ll work across two engineering teams: the Orchestrator team (focused on our core execution

engine) and the AI Workflows team (building agent-powered automation for enterprise customers).

The product team is lean — one PM, a CTO who owns architecture and engineering leadership,

and a co-founder driving product vision. You’ll have real influence over how we build and ship.

WHAT YOU’LL WORK ON

Frontend Architecture

1. Define and maintain frontend architecture: component structure, state management, data fetching patterns, build tooling

2. Lead the design system and shared UI library so engineers stop rebuilding the same things

3. Set coding standards, review processes, and quality gates that keep the codebase clean as it grows

4. Own performance: bundle size, render times, core web vitals across the product

AI-Powered Product Surfaces

1. Build the interfaces that expose our AI agents to users: workflow builders, real-time orchestration views

2. Design and implement UI patterns for agentic workflows: status tracking, step-by-step execution visibility

3. Work closely with the AI and backend teams to surface agent outputs in ways that are clear, actionable, and trustworthy for non-technical users

4. Contribute to how users configure, trigger, and monitor AI agents directly from the product

Shipping Product

1. Build complex UI features end to end: workflow builders, real-time data views

2. Work directly with product and design to translate mockups into well-structured, maintainable

code

3. Contribute to backend APIs when needed: comfortable writing a Python endpoint when

the feature requires it

4. Participate in architecture decisions that span the stack

Team and Developer Experience

1. Mentor frontend engineers through code review, pairing, and design discussions

2. Improve local development setup, CI pipelines, and testing infrastructure

3. Document patterns and decisions so knowledge does not live in one person’s head

HOW WE WORK

We’re adopting lightweight agile ceremonies — weekly grooming, structured sprints, automated KPI

tracking. Engineers are expected to communicate proactively when blocked, not wait to be asked.

Follow-ups happen in public channels. We value people who own their work end to end: you deploy

it, you monitor it, you fix it when it breaks.

WHAT WE’RE LOOKING FOR

Required

1. 5+ years of frontend engineering experience, with at least 1 year in a lead or senior role

2. Deep expertise in React and TypeScript

3. Experience architecting frontend systems at scale: component libraries, state management, routing, testing

4. Enough backend experience to contribute meaningfully (REST APIs, data models, basic server-side logic) 5. Track record of shipping and maintaining complex UIs in production 6. Comfortable working in a fast-moving codebase where requirements change

Preferred

1. Experience building UIs for AI-powered products: agent outputs, streaming responses, workflow visualisation, or similar

2. Experience working in a design-system-driven team or building one from scratch

3. Prior work at a B2B SaaS company serving enterprise customers

TECHNOLOGIES YOU’LL WORK WITH

React / TypeScript · Python / FastAPI · MongoDB · Redis Streams · PostgreSQL · AWS

(Lambda, ECS, SQS) · LangGraph · LLM APIs · Event Driven architecture

WHAT SUCCESS LOOKS LIKE

• 30 Days: Understand the platform architecture, ship your first frontend feature, and identify quick wins in the codebase

• 60 Days: Own 2-3 frontend projects end to end, start defining component patterns and coding standards for the team

• 90 Days: Drive a design system or shared UI library initiative, reduce UI development time on a key workflow by 30%

• 6 Months: Own the full frontend architecture, have mentored at least one engineer, and contributed to cross-stack features involving AI agent surfaces

• 12 Months: Be the technical authority on all frontend decisions, have shipped major product surfaces for AI orchestration, and shaped how the frontend team scales at Scalestack

COMPENSATION & BENEFITS

• Competitive salary benchmarked to your experience and location

• Flexible and Unlimited PTO

• Equipment reimbursement

• Lots of opportunity to learn, grow and make an impact

• Hybrid: in-office at least once a week in Buenos Aires

OUR VALUES

• Ownership & Commitment: We take full responsibility for our work, see it through, and hold ourselves accountable to the outcome.

• Deliver Results: We focus on outcomes. We ship things that matter, on time and at the right quality.

• Insist on the Highest Standards: We refuse to accept mediocrity in our work. We raise the bar constantly and push each other to do the same.

• Learn and Be Curious: We ask why, challenge assumptions, and treat every mistake as a chance to get better. The best ideas can come from anywhere.

• Collaboration: We win as a team. We share context freely, support each other, and make decisions that are good for the whole, not just our own area.

INTERVIEW PROCESS

We move quickly and tell you where you stand at every step.

• Screening call — 5 min. Get to know each other and check mutual fit.

• Culture fit calls—

45 min. Assess alignment with working style and values (2 calls total, with an optional third if needed).

• Technical / skills conversation — 45 min. Deep dive on your experience, past decisions,

and how you think.

• Take-home exercise (OPTIONAL) — 3–4 hours. A practical problem that reflects what

you would actually be working on here.

• Decision