11 publicaciones de empleo destacadas de discovery to delivery engineer en remote (¡Están contratando!)

Discovery-to-Delivery Engineer
The Agile Monkeys —En remoto
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Oficina
- Plus transporte
- Seguro médico privado
Solicitud rápida
4d
Product Designer, Mid Level
Daniel J. Edelman Holdings —En remoto
- Jornada completa
- Teletrabajo
- Investigación
Associate Product Management Consultant (f/m/x)
Product People —En remoto
- De 42.000 € a 54.000 € al año
- Jornada completa
- Teletrabajo
Solicitud rápida
Senior Manager, User Experience
Appfire —En remoto
- Festivos
- Teletrabajo
- Investigación
- IT
- Inteligencia artificial
- Abono gimnasio
Solicitud rápida
Senior Content Designer
Moniepoint —En remoto
- Teletrabajo
- Investigación
- Agile
- Inteligencia artificial
Solicitud rápida
3d
Staff Backend Engineer
Develocity —En remoto
- Teletrabajo
- Inglés
- Java
- AWS
Solicitud rápida
1d
Pre-Sales Engineer
Develocity —En remoto
- Teletrabajo
- Informática
- Ventas
- DevOps
Solicitud rápida
Product Team Lead for Platform Product
GR8_TECH —En remoto
- Teletrabajo
- Inglés
Solicitud rápida
3d
Forward Deployed Engineering Expert (part-time)
TripleTen —En remoto
- Media jornada
- Teletrabajo
- Inglés
- Máster
- APIs
Solicitud rápida
Senior Solutions Architect | Python and GenAI
Provectus —En remoto
- Jornada completa
- Teletrabajo
- Inglés
- Máster
- SQL
Solicitud rápida
Senior Databricks Consulting Engineer (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida

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Brand Designer
Yumwoof Natural Pet Food Inc. —En remoto
*Build and own the design guide* — translate the new brand guide into a practical, day-to-day design system (typography, color, layout, iconography, logo usage,…
De 1.735 € a 3.000 € al mes
Solicitud rápida
Product Designer
Vidext —En remoto
(Reto) Si continúas en el proceso, te enviaremos un breve reto de diseño para validar tus conocimientos y estimar tu nivel antes de incorporarte con nosotros.
De 25.000 € a 50.000 € al año

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Discovery-to-Delivery Engineer

The Agile Monkeys
En remoto

Solicitud rápida

Detalles del empleo

Contrato indefinido | Jornada completa | Autónomo
Hace 4 días

Beneficios

Plus transporte
Seguro médico privado
Flexibilidad horaria
Ticket restaurante
Programa de formación
Cursos de idiomas ofertados
Eventos sociales los viernes
Apoyo para el cuidado de niños
Ordenador de empresa

Cualificaciones

Azure
Inglés
GitHub
Cloud
Inteligencia artificial

Descripción completa del empleo

The Agile Monkeys

We're a boutique AI firm building production AI systems for regulated industries, including insurance, banking, healthcare and legal, for clients across the US, Latam, Europe and the GCC.

We also build and scale our own AI-native products through our Venture Builder.

AI isn't a layer we add on top. It's how we work and what we ship.

The role

You'll lead a small, senior pod embedded inside one of our largest enterprise engagements.

A big part of the role is discovery: understanding how the business and its systems really work, identifying where AI can create measurable impact, and turning those opportunities into production solutions.

You'll work across complex and sometimes unfamiliar environments, so we're looking for someone who can move between technologies and domains rather than someone defined by a particular stack. AI is both part of what we build and a tool we use to understand systems, prototype faster and increase the team's leverage.

What the work actually looks like

Understand the problem before solving it. Get into the client's workflows, systems and constraints, and work out what is actually happening.
Find the opportunities. Identify where AI can remove meaningful work, improve a process or unlock something that wasn't possible before.
Lead the pod technically. Set direction, prioritize the work and make the calls when there isn't an obvious answer.
Turn ambiguity into something buildable. Translate business problems into technical approaches, experiments and production plans.
Stay hands-on. Get into unfamiliar systems and technologies yourself, using AI to become productive quickly.
Work directly with the client. Challenge assumptions, explain technical decisions and keep the conversation focused on outcomes.
Own the result. Take ideas from discovery through implementation and make sure what reaches production actually changes something.
Increase the team's leverage. Use AI tools and agents deeply in your own work and help the team figure out where they genuinely make us better.

Who this is for

If you want a role where someone else defines the problem, chooses the technology and hands you a backlog, this probably isn't it.

Here, figuring out what to build is part of the engineering work.

You'll fit if:

You're a strong software engineer with solid AI/ML experience on top.
You've shipped real systems and owned outcomes beyond the code you personally wrote.
You're comfortable moving between technologies, codebases and domains rather than defining yourself by one stack.
You've built real things with LLMs, agents or other AI tooling, and you know where they help and where they don't.
You get productive quickly in systems you don't know yet.
You can sit with business stakeholders, understand their world and turn it into something technical.
You communicate comfortably in English with both clients and engineers.
Ambiguity doesn't throw you off. You create structure and move.
You care about measurable impact, not just whether the technology works.
You make decisions with judgment, stay humble and bring the team with you.

Good to have, not required

Experience with large enterprise or regulated-industry environments. Cloud platforms such as Azure. Distributed systems or large API ecosystems. Experience leading distributed teams. AI-assisted development tools such as Claude Code, Codex, Copilot or similar.

On your background

Skip the CV that lists every framework you've touched.

We'd rather hear about a project you entered without knowing the system, how you got up to speed, what you discovered and what you ended up building.

Tell us about an AI opportunity you found by understanding the business rather than being handed a use case, and what actually changed once it reached production.

Links to GitHub projects, architecture work or technical writing are very welcome.

What you get

Fully remote, with our Las Palmas, Tenerife and Madrid offices open to you whenever you want them.

If you've been looking for a role where understanding the problem, proposing the solution and building it are all part of the same job, we'd like to meet you!

Beneficios:

Apoyo para el cuidado de niños
Cursos de idiomas ofertados
Eventos sociales los viernes
Flexibilidad horaria
Ordenador de empresa
Plus transporte
Programa de formación
Seguro médico privado
Ticket restaurante

Ubicación del trabajo: Empleo remoto

Solicitud rápida

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discovery to delivery engineer empleos en remote

Discovery-to-Delivery Engineer

Product Designer, Mid Level

Associate Product Management Consultant (f/m/x)

Senior Manager, User Experience

Senior Content Designer

Staff Backend Engineer

Pre-Sales Engineer

Product Team Lead for Platform Product

Forward Deployed Engineering Expert (part-time)

Senior Solutions Architect | Python and GenAI

Senior Databricks Consulting Engineer (m/f/*)

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