WhyHireWrong?

Backend Engineer

• Design, build, and maintain production-grade applications using TypeScript across the stack
• Develop intuitive, performant user interfaces using React and modern front-end tooling
• Build and maintain backend services, APIs, and integrations (Node.js / TypeScript)
• Collaborate with product managers and designers to translate requirements into technical solutions
• Write clean, testable, maintainable code with strong attention to performance and reliability
• Participate in code reviews, architecture discussions, and continuous improvement initiatives
• Troubleshoot issues across the stack and contribute to a culture of engineering excellence

Full Stack Engineer – TypeScript, React, Node.js

• Lead end-to-end feature development on the core product
• Design and build full-stack features with a focus on security and scalability
• Make architecture and design decisions that align with Domain-Driven Design principles
• Write and maintain unit and integration tests
• Set up and maintain CI/CD pipelines using GitLab
• Mentor junior engineers through code reviews, pair programming, and knowledge sharing
• Work with product and design to turn requirements into technical solutions
• Contribute to roadmap planning with realistic feasibility assessments and timelines
• Work with MySQL at scale, designing schemas and optimizing queries
• Containerize services using Docker

Senior Fullstack Engineer – PHP/Symfony, React, DDD

Web Designer

• Own the marketing site end-to-end
• Build fast templates and ship pages daily
• Conduct A/B tests and analyze results
• Collaborate with the product team for alignment

Senior Designer, Web

Technical Project Manager

• Own projects from kickoff to go live and post go live support
• Keep scope, timeline, stakeholders, and delivery under control
• Work closely with clients, technical teams, and partners to move projects forward
• Run workshops, clarify requirements, document decisions, and keep everyone aligned
• Spot risks early and deal with them before they become delivery problems
• Learn the serialization domain properly and become confident enough to lead projects in it
• Communicate clearly in Spanish and English with clients and internal teams across different markets

Technical Project Manager, Spanish Speaking

Platform Engineer

• Write production code and infrastructure-as-code, not review it
• Debug slow queries, analyze traces, resolve production incidents personally
• Make architectural decisions on the shared platform with full accountability
• Evaluate and adopt AI tooling into your daily engineering workflow
• Operate in high ambiguity with limited process and high expectations for output

Staff Platform Engineer

Machine Learning Engineer

• Build ML models for real-time disinformation detection
• Deploy and monitor models in production environments
• Manage data pipelines using streaming and batch processing frameworks
• Make architectural decisions on databases, infrastructure, and system design
• Collaborate across engineering, ML, and intelligence teams

Senior Machine Learning Engineer

Data Scientist

• Take ownership of a defined business domain and its algorithmic needs from problem framing through to deployed solution
• Partner with product, business, and AI engineering teams to automate and integrate models into live applications
• Analyze large scale datasets (think: processing billions of behavioral signals daily) and translate findings into actionable recommendations
• Define and evolve the algorithmic roadmap for your area of ownership
• Apply machine learning, statistical, optimization, and GenAI techniques to real business problems
• Write production grade code following engineering best practices
• Build resilient, maintainable algorithmic pipelines that hold up over time

Data Scientist – Machine Learning, GenAI

• Partner with product teams and business leaders to understand and define Agentic AI use cases
• Collaborate with data scientists across global teams to gather feedback on the agent building experience and translate it into framework improvements
• Shape and drive the evolution roadmap for the Agentic AI framework
• Apply GenAI and Agentic AI techniques to solve real business problems
• Build and maintain resilient, production grade algorithmic and agentic pipelines
• Write clean, well structured code following engineering best practices
• Deepen applied knowledge across machine learning, optimization, statistical modeling, and GenAI

Product Data Scientist

Account Executive

• Taking over qualified prospects from the BDR team and running the full sales cycle from discovery to close
• Running consultative conversations where understanding the client's technical and regulatory context matters
• Coordinating with solution consultants to build proposals that address the actual problem, not a generic version of it
• Managing your pipeline accurately and pushing deals forward without losing momentum
• Representing the company at industry events and client meetings when needed