Data Science Engineer with a Focus on AI Technologies

Buscamos un Ingeniero de Integraciones especializado en TypeScript para diseñar, construir y mantener servicios backend robustos que conecten nuestra plataforma con diversos CRMs. Este rol requiere dominio técnico, capacidad para modelar flujos de datos complejos y experiencia profunda trabajando con APIs, webhooks y bases de datos relacionales. Serás responsable de integraciones críticas end-to-end, garantizando su confiabilidad, escalabilidad y mantenimiento continuo. Lo que harás Construir y mantener servicios backend en TypeScript que sincronicen nuestra plataforma (Next.js, PostHog, servicios TS) con distintos CRMs. Ser dueño de las integraciones de APIs y webhooks de punta a punta: diseño, implementación, monitoreo y debugging. Modelar flujos de datos (leads, deals, cuentas, actividades) y mantener los sistemas sincronizados y estables. Escribir y optimizar SQL o Prisma para las integraciones. Lo que debes saber Sólidos conocimientos de TypeScript en backend. Experiencia sólida con APIs HTTP y webhooks (autenticación, reintentos, idempotencia, manejo de errores). Comodidad trabajando con SQL o Prisma directamente sobre bases de datos relacionales. Disposición para profundizar en pipelines y objetos de HubSpot y aprender bien la plataforma. Deseable Experiencia práctica con CRMs (HubSpot, Zoho, Pipedrive, Salesforce, etc.). Experiencia con sistemas event-driven y colas. Familiaridad con PostHog o herramientas de analítica similares.

Location: Remote Seniority: Senior Language: Advanced English (internal communication only) Type: Full-time, exclusive (initially 3 months project with great possibility to be extended)  About Company Company is a fast-growing US startup currently in its seed round, building cutting-edge AI-powered products that simplify complex processes and deliver real impact. The team moves fast, values initiative over bureaucracy, and thrives in an environment where speed, ownership, and innovation drive every decision. Here, every line of code directly shapes the product and the user experience. It’s a place for builders who care about the why as much as the how. The Role We’re looking for a Senior Backend Developer who’s passionate about building products from the ground up, not just features. Someone who loves thinking about how everything fits together, contributes to the full product lifecycle, and takes ownership of their work end to end. This role focuses primarily on the backend (preferably in Python), but may occasionally support frontend components, as expected in a dynamic, early-stage startup environment. The ideal candidate is self-driven, proactive, and comfortable navigating ambiguity with a hands-on, problem-solving mindset. Responsibilities Design, develop, and maintain scalable backend systems and APIs. Collaborate closely with product and engineering teams to define, design, and ship new features. Contribute ideas to improve product performance, functionality, and user experience. Take full ownership of deliverables — from architecture to deployment. Work across the stack when needed, supporting frontend integration. Participate in technical discussions, bringing both depth and perspective to product decisions. Build and maintain AI agents or AI-driven features, ensuring reliability and continuous improvement. What We’re Looking For 5+ years of backend development experience, ideally in fast-paced startup environments. Strong proficiency in Python (experience with frameworks like Django, Flask, or FastAPI). Experience designing and maintaining AI agents or AI-driven systems. Solid understanding of system design, debugging, and scalable architecture. Strong sense of ownership and accountability for your work. Advanced English communication skills (you’ll interact daily with your teammates in English). Collaborative mindset. Open, curious, and comfortable in an agile, fast-changing environment. Passion for building great products, not just writing code. Nice to Have Experience working across the stack (some familiarity with frontend technologies). Previous experience in early-stage startups. Familiarity with MLOps, cloud infrastructure (AWS, GCP, Azure), or data pipelines. What We Offer A chance to join a high-growth US startup shaping the future of AI-driven products. A culture that values autonomy, creativity, and speed over process. Collaborative, low-ego environment focused on building together. Hiring Process Technical Interview I – System Design Technical Interview II – Debugging Exercise Cultural Fit Interview

Location: Remote / Americas (South / Central / North) Why Us We help teams work smarter via the platform, leveraging our technology and playbooks, by integrating AI into the way work actually happens. Think of us as AI sherpas, guides who meet clients where they are, map the terrain, and help them reach the next ridge safely and sustainably. The Role You’ll guide startups and mid-sized companies through the Framework across Sales, Marketing, and Customer Success. Your job is to learn how work really flows, understand the data behind it, spot the best places for AI to help, and turn those ideas into everyday habits the team can trust. What You’ll Do Leveraging the framework and playbooks, you’ll plug into our system and: Understand the work: Interview teammates, observe handoffs, and map how leads, customers, and data move through the funnel. Clarify the data: Identify what’s tracked, what’s missing, and what needs cleaning or standardizing so decisions are clear. Find the openings for AI: Prioritize a short list of use cases where AI can reduce busywork, speed decisions, or improve quality. Design practical workflows: Outline simple, human-in-the-loop steps with clear owners, guardrails, and “what happens if” paths. Pilot and roll out: Build light prototypes, test with a few users, then roll out with training, checklists, and clear metrics. Support adoption: Make runbooks and short trainings; track usage; adjust based on feedback. Advise leaders: Translate findings into plain choices and trade-offs so changes stick across Sales, Marketing, and CS. What You Bring A learner’s mentality is critical in the massively changing world of AI. Hands-on RevOps or GTM Ops experience at startups or companies under 500 people. Comfort talking to both executives and frontline teammates; you can run a working session and keep it grounded. Data is a key pillar of our Framework. You don’t just love data, you’re dedicated to leveraging it as art and science to make it actionable. You can define meaningful metrics, work with basic queries or spreadsheets, and set simple data standards. Real experience putting AI into daily work (e.g., research assistants, follow-up drafting, handoff summaries, QBR prep, routing/alerts) with sensible guardrails. Change enablement: you’ve helped teams adopt new ways of working, not just delivered a deck. Strong English fluency, both verbal and written, are required at C2 CEFR level for non-native speakers. Nice To Have Familiarity with lightweight automation and documentation tools. Basic scripting or SQL for quick checks and prototypes. Experience with post-sale motions and revenue expansion. If this sounds good, we'd love to hear from you - please be sure to send a short message on why you think you'd be a great fit.