7 publicaciones de empleo destacadas de full stack engineer en tepalcapa méx. (¡Están contratando!)

Sr. Product Engineer
Nolte —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior GTM Systems Manager
Karat —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- Salesforce
Postulación rápida
Hyper-V / SCVMM Migration Specialist
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
Postulación rápida
AI Fullstack
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en bases de datos
- SQL
- Python
Postulación rápida
14d
Senior Software Engineer (AI-Native) (Full-time Contractor)
Nerdy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Java
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Training Program Manager, AI-First PM Training
First Principles —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida
3h
Solutions Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Experiencia en ventas
4h

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Sr. Product Engineer

Nolte -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Node.js
Derecho
Gherkin
React
Cucumber
JavaScript
Estimación y pronóstico
TypeScript

Descripción completa del empleo

Product Engineer — Nolte
Nolte is a consultative product partner for companies in regulated industries (insurance, healthcare, fintech). We don't just build what clients ask for. We challenge product theses, protect founders from bad bets, and ship predictably using our own delivery framework and forecasting system (NolteOS). We're an Anthropic partner and AI-native across our workflow.

The role
You'll own the full arc from "should we build this?" to "it's live in production." That means leading discovery conversations with clients, pressure-testing product decisions before a line of code is written, scoping deliveries, building, and shipping. You're the person in the room who can explain why something shouldn't be built, and be right, then turn around and ship the thing that should.

What you'll actually do

Lead client-facing conversations: discovery calls, sprint reviews, roadmap discussions. You're not presenting status updates. You're shaping what gets built and why.
Evaluate product bets critically. If a feature doesn't tie to a business objective or the risk profile is wrong, you say so with evidence, not vibes.
Scope and deliver work within Nolte's delivery model: discrete, validated units tied to business outcomes with defined acceptance criteria.
Build across the stack in TypeScript/JavaScript. Our work lives in Node, React, Next.js, and the ecosystems around them. You're writing application code, not configuring templates.
Write and maintain BDD test suites (Cucumber/Gherkin) aligned to our delivery methodology. Acceptance criteria aren't an afterthought; they drive implementation.
Work with the Anthropic API, Claude Code, and MCP integrations as core parts of your development workflow. You're building with and on top of LLMs, not just prompting them in a chat window.
Architect and implement AI-augmented features for client products: structured output pipelines, tool use patterns, retrieval systems, agent workflows. This is hands-on integration work, not experimentation.
Manage ongoing client relationships with the attentiveness and communication quality of a great account manager. Proactive updates, clear expectations, no surprises.

What this isn't

A pure engineering role where someone else decides what to build
A PM role where someone else writes the code
A junior position with a growth path into this. We need someone already operating here

Requirements

You've been the person responsible for both the "what" and the "how." Product thinking and technical execution in the same seat.
You're deep in JavaScript/TypeScript. You have opinions about runtime tradeoffs, bundler configs, type safety patterns, and monorepo structure, and those opinions come from building production systems, not reading blog posts.
You've built on LLM APIs directly: function calling, streaming, structured outputs, prompt engineering at the application layer. You understand token economics, latency tradeoffs, and where to draw the line between AI and deterministic code.
You can hold your own in a business conversation with a founder or VP Product. You understand unit economics, regulatory constraints, go-to-market timing, and why those things change what you build.
You've said no to a stakeholder and it was the right call. You can point to a time you killed or reshaped a feature that would have been a bad bet.
Your communication is a strength, not a tolerable weakness. Written and verbal, client-facing and internal. You write clearly, you listen well, you de-escalate naturally.
You're comfortable with ambiguity and ownership. We don't hand you a fully scoped ticket queue. You help define the work, then do it.

What you'll actually do

Lead client-facing conversations: discovery calls, sprint reviews, roadmap discussions. You're not presenting status updates. You're shaping what gets built and why.
Evaluate product bets critically. If a feature doesn't tie to a business objective or the risk profile is wrong, you say so with evidence, not vibes.
Scope and deliver work within Nolte's delivery model: discrete, validated units tied to business outcomes with defined acceptance criteria.
Build across the stack in TypeScript/JavaScript. Our work lives in Node, React, Next.js, and the ecosystems around them. You're writing application code, not configuring templates.
Write and maintain BDD test suites (Cucumber/Gherkin) aligned to our delivery methodology. Acceptance criteria aren't an afterthought; they drive implementation.
Work with the Anthropic API, Claude Code, and MCP integrations as core parts of your development workflow. You're building with and on top of LLMs, not just prompting them in a chat window.
Architect and implement AI-augmented features for client products: structured output pipelines, tool use patterns, retrieval systems, agent workflows. This is hands-on integration work, not experimentation.
Manage ongoing client relationships with the attentiveness and communication quality of a great account manager. Proactive updates, clear expectations, no surprises.

Benefits

30 days paid time off
Annual remote retreat
Expense and equipement allowance
Self-managed schedule
Profit sharing

Postulación rápida

Refina tu búsqueda

full stack engineer empleos en tepalcapa méx.

Sr. Product Engineer

Senior GTM Systems Manager

Hyper-V / SCVMM Migration Specialist

AI Fullstack

Senior Software Engineer (AI-Native) (Full-time Contractor)

Training Program Manager, AI-First PM Training

Solutions Engineer

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