Gross salary $3800 - 5500 Full time
Senior Front-end Lead Santiago
  • Krunchbox
  • Santiago (Hybrid)
JavaScript Analytics Front-end Business Intelligence
Krunchbox is scaling a global SaaS platform that empowers supplier-retailer collaboration through fast, reliable analytics. You will drive the complete rebuild of the analytics UI, transitioning from legacy jQuery/Bootstrap to a modern React/TypeScript stack. As the senior frontend leader, you’ll architect and implement the Reports and Dashboards systems, with potential to establish and lead a frontend team as the platform grows. The project emphasizes high-performance data visualization, robust state management, and an intuitive UX for complex analytics workflows, enabling 1000+ enterprise clients to derive actionable insights in real time.

Find this job and more on Get on Board.

Key Responsibilities

  • Act as the senior frontend architect for the analytics platform, owning the design and implementation of Reports and Dashboards.
  • Lead the transition from legacy codebases (jQuery/Bootstrap) to a modern React/TypeScript stack across core analytics modules.
  • Directly manage frontend contractors during the transition and guide the long-term frontend roadmap, with the opportunity to build and lead a scaling team.
  • Implement AG Grid for high-performance data tables handling massive datasets (millions of rows) with smooth paging and virtualization.
  • Build a reusable component library using shadcn/ui and Tailwind CSS to ensure consistency and rapid delivery.
  • Integrate with Plotly for advanced data visualizations and analytics storytelling.
  • Optimize UI performance to achieve sub-2-second dashboard load times and snappy interactions.
  • Establish frontend best practices, testing standards, and accessibility considerations, collaborating with UX to simplify complex analytics workflows.
  • Collaborate with product, data, and backend teams to align on requirements, APIs, and data models.
  • Leverage AI development teals such as ClaudeCode, Codex to increase development productivity

Required Experience & Skills

We are seeking a seasoned frontend leader with a proven track record delivering enterprise SaaS analytics platforms. You should bring:
  • 5+ years of React experience, with at least 2+ years using TypeScript.
  • Expert-level knowledge of React performance optimization and long-term maintainability.
  • Hands-on experience with data-heavy applications and virtual scrolling techniques.
  • Proven experience with AG Grid or similar data grid libraries in large-scale enterprise contexts.
  • Strong understanding of state management (Redux, Zustand, or Context API).
  • Experience leading frontend teams and mentoring developers, with a history of delivering polished, production-grade software.
  • Track record of delivering enterprise SaaS applications with measurable impact.
Nice-to-have: analytics/BI platform experience, WebSocket real-time updates, familiarity with Plotly/D3.js, micro-frontend architectures, Azure DevOps and CI/CD pipelines.

Desirable Skills & Experience

Experience working on analytics/BI platforms and data visualization libraries; familiarity with real-time data streaming; prior exposure to micro-frontend architectures; comfort working in fast-paced, collaborative environments; strong communication and leadership skills to mentor and inspire a growing frontend team.

Benefits

  • Competitive compensation package.
  • Comprehensive health and benefits coverage.
  • A predominantly in-person, collaborative work environment located in Mexico City to encourage fast iteration and real-time problem solving.
  • Opportunity to scale and lead a global SaaS platform that solves real-world customer challenges.
  • A direct, impactful role in shaping the future of AI-powered supplier-retailer collaboration.

Partially remote You can work from your home some days a week.
Computer provided Krunchbox provides a computer for your work.
Informal dress code No dress code is enforced.
Gross salary $1800 - 3000 Full time
Python Artificial Intelligence Machine Learning Data Science
Krunchbox is a retail analytics SaaS platform helping brands increase sell-through, prevent stockouts, and uncover lost revenue across major retailers. We’re launching Krunchbox Reimagined — a modern AI platform focused on predictive analytics, AI agents, and real-time decision support. We’re looking for an AI / ML Engineer (1–5 years experience) to help us build chatbots, RAG systems, and production-grade ML models used directly by customers. This role spans building AI agents that generate insights, reports, and recommendations; developing RAG pipelines blending LLMs with structured data (POS, inventory, product data); and creating chat-based experiences for customer analytics.

Send CV through getonbrd.com.

What You’ll Do

  • Build AI agents (“Krunchy”) that generate Insights, Reports, Recommendations
  • Develop RAG pipelines combining LLMs with structured data (POS, inventory, product data)
  • Create chat-based experiences for customer analytics
  • Machine Learning Modeling (Core): build and improve models for Demand forecasting, Stockout risk, Lost sales estimation, Anomaly detection
  • Perform feature engineering on messy retail datasets
  • Model evaluation and iteration
  • Help take models from prototype → production
  • Tech Stack: Python (FastAPI preferred), LLM APIs (OpenAI, Anthropic), LangChain / LlamaIndex (or similar), Vector databases, ClickHouse / modern data stack, AWS / cloud infrastructure

Requirements

1–5 years of experience in ML, data science, or backend engineering
Strong Python skills
Experience building APIs or backend systems
Experience with machine learning modeling (e.g., regression, time-series, classification, or similar)
Exposure to LLMs, chatbots, or prompt engineering
Comfortable working with messy datasets
Nice to Have: RAG or vector search experience; Time-series forecasting (Prophet, XGBoost, etc.); Retail / supply chain data experience; MLOps or production ML exposure
Why Join: Build real AI products (not just models); Work on LLMs, chatbots, and predictive ML systems; High ownership and fast growth; Be part of a major platform rebuild
Compensation: Competitive salary; Health benefits; Hybrid work model
Optional (but high leverage): Please include examples of ML models or LLM projects you’ve built (GitHub or portfolio).

Nice to Have

  • RAG or vector search experience
  • Time-series forecasting (Prophet, XGBoost, etc.)
  • Retail / supply chain data experience
  • MLOps or production ML exposure

Benefits

  • Competitive compensation package.
  • Comprehensive health and benefits coverage.
  • A predominantly in-person, collaborative work environment located in Mexico City to encourage fast iteration and real-time problem solving.
  • Opportunity to scale and lead a global SaaS platform that solves real-world customer challenges.
  • A direct, impactful role in shaping the future of AI-powered supplier-retailer collaboration.

Partially remote You can work from your home some days a week.
Computer provided Krunchbox provides a computer for your work.
Informal dress code No dress code is enforced.
Gross salary $50000 - 50000 USD/year Full time
AI Software Engineer (Hands on)
  • Dante Title
  • McAllen, Texas (In-office)
Python Artificial Intelligence Machine Learning Natural Language Processing

AI Software Engineer – On-site Texas, USA
We are an established company in the real estate and financial services sector seeking a hands-on AI Software Engineer to design, build, and deploy end-to-end software systems. You will work with backend services, unstructured data, APIs, and third-party integrations, collaborating closely with business teams to deliver reliable, scalable solutions. This role offers direct involvement in production systems and opportunities to grow as the platform evolves. Visa sponsorship, full relocation support, and company-provided housing included. Candidates must be based in Mexico and fluent in English.

Apply at the original job on getonbrd.com.

What you’ll do

  • Design, build, and implement AI-powered components used in internal platforms.
  • Develop backend services and APIs that integrate AI with business workflows.
  • Work with unstructured and document-based data to extract actionable insights.
  • Integrate third-party services, including payment systems and external software.
  • Collaborate directly with business stakeholders to translate needs into working solutions.
  • Contribute hands-on to system architecture, deployment, and continuous improvement of the platform.

What we’re looking for

We’re seeking an experienced AI-focused software engineer with a strong background in Applied AI, Machine Learning, or AI-driven software development. The ideal candidate will have:

  • Strong proficiency in Python.
  • Experience building backend systems and APIs.
  • Familiarity with NLP and/or LLM-based tools.
  • Experience handling unstructured or document-based data in production environments.
  • Ability to integrate production software systems with external services and data sources.
  • Comfort with ambiguous problems and delivering practical, maintainable solutions.
  • Fluent English (written and spoken).

Nice to have

Experience with document intelligence, OCR, or Retrieval-Augmented Generation (RAG) systems. Web development experience (React or similar). Cloud platforms (AWS, Azure, or GCP). Background in regulated industries (financial services, insurance, legal, real estate).

Compensation & benefits

Base salary USD 50,000 per year. Visa sponsorship provided. Full relocation support. Company-provided housing (100% covered). Opportunity for long-term growth as the platform and team expand.

Relocation offered If you are moving in from another country, Dante Title helps you with your relocation.

🇲🇽 Remote Figma jobs from Mexico: 2026 overview

The remote Figma job market for professionals in Mexico has grown steadily since 2020 and is today one of the most concrete paths to earn in USD from Ciudad de México, Guadalajara or any city in the country. The typical salary range is $2,500 - $6,500 USD/mes, several times above the equivalent salary in the local market. Companies like Toptal, Crossover, Designit, Globant regularly hire Figma profiles from Mexico, either as contractors or employees through platforms like Deel or Remote.com. The most in-demand stack combines Figma with Ui Ux, Product Design, Prototyping. On the operational side, the most used payment methods are Wise, Deel, Payoneer, and the Mexico timezone (GMT-6) offers natural overlap with the US East Coast and European morning hours, making it one of the most attractive regions for US and EU companies looking to hire nearshore talent. For professionals just starting in remote, the most profitable path is usually to begin with agencies like Toptal or Crossover (demanding technical filters but stable contracts) and later migrate to a full-time role at a product company. This page updates daily the active Figma offers available for Mexico, filtered so you only see 100% remote roles compatible with your location.

Salario

$2,500 - $6,500 USD/mes

Zona horaria

GMT-6

Posiciones

3

Pago

USD (cobro internacional)

Mexico es un hub tecnologico reconocido en LATAM, con una comunidad activa de profesionales en Figma.

How much a remote Figma earns in Mexico by seniority

Estimated ranges in USD/month. In Mexico these amounts are typically 2x to 4x an equivalent local salary, depending on tax regime.

Level Experience Range USD/month
Junior 0-2 yrs $2,500 - $3,500
Mid-level 2-4 yrs $3,300 - $4,700
Senior 4-7 yrs $4,500 - $5,900
Lead/Staff 7+ yrs $5,500 - $6,500

How to get paid as a Figma from Mexico

Most used payment methods

  • Wise
  • Deel
  • Payoneer
  • Stripe Atlas

Tax regime

Register in RFC under RESICO (Simplified Trust Regime) or Tech Platforms. Service exports can be 0% VAT.

Companies hiring remote Figma from Mexico

Toptal Crossover Designit Globant Mercado Libre Rappi Wolfpack Digital

FAQs about remote Figma in Mexico

Figma professionals in Mexico working for international companies earn $2,500 - $6,500 USD/mes. Paid in USD, this is typically 2x to 4x an equivalent local salary in the traditional market.

The most used methods are Wise, Deel, Payoneer. Most combine two to reduce fees: e.g. Wise for US clients and Deel when the company signs an employee contract.

Register in RFC under RESICO (Simplified Trust Regime) or Tech Platforms. Service exports can be 0% VAT.

Some that historically hire this profile from Mexico: Toptal, Crossover, Designit, Globant. Beyond these, any company with a remote-friendly policy can hire from here if your English and portfolio are at the level.

Mexico is in GMT-6, which gives a natural overlap of 4 to 6 hours with the US East Coast and 2 to 4 hours with UK. For Asian or Australian companies the overlap is minimal — look for "async-first" roles.