FDE SWAT - Iberia

Momentum; Madrid; Presencial; EUR 60.000 - 120.000; Jornada completa

Descripción de la vacante

Leadout Capital in Madrid is seeking a Forward Deployed Engineer to troubleshoot and resolve complex issues in live customer deployments of Agentforce and Salesforce platform. You will own end-to-end incidents, work with Pods and customers, reproduce defects, and validate fixes in fast-paced environments.

You’ll design agent intelligence, build data pipelines across Snowflake, Databricks, and Salesforce Data 360, and collaborate with product and engineering to ship scalable solutions.

Formación

• 3+ years of software engineering or technical delivery experience, with production systems.
• Degree in Computer Science or related field.
• Experience with customer-facing technical delivery (consulting, services).
• Fluent in Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on with LLMs and prompt engineering; able to explain failures.
• Strong data modelling, APIs, and integration patterns.
• Able to communicate with sales teams and customer architects.
• Experience shipping AI solutions and staying curious about AI/data landscape.
• Willing to travel ~25% to work directly with customers.

Responsabilidades

• Develop AI agents and experiences in production for large enterprises.
• Design agent intelligence: prompts, reasoning, tool calls, integration.
• Own technical components end-to-end from architecture to production.
• Build data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms.
• Create agent performance dashboards and KPI reporting.
• Contribute to proofs-of-concept and MVPs that deploy in days.
• Co-build with customers and partners; leave teams more capable.
• Surface platform gaps and provide product feedback.
• Partner with Deployment Strategist to translate challenges into solutions.

Conocimientos

Software engineering

Customer-facing delivery

Python/JavaScript/TypeScript/Java/Apex

LLMs/Prompt engineering

Data modelling/APIs/integration

Team collaboration

Travel willingness

Educación

Degree in Computer Science or related field

Herramientas

LangChain

LlamaIndex

Snowflake

Databricks

BigQuery

Apex

Descripción del empleo

The Experience

Production experience required. Builder mindset non-negotiable.

The FDE SWAT is a hands-on Forward Deployed Engineer role focused on troubleshooting, fixing, and resolving complex issues in live customer deployments. As part of a team of specialists, you will be engaged by FDE Pods or directly by customers when critical problems arise, working quickly to diagnose root causes, implement fixes, and restore stable performance across Agentforce and the wider Salesforce platform. You will own issues end-to-end, from triage and investigation to resolution, validation, and handover, and you will be responsible for clear communication with stakeholders throughout, especially in high-pressure and time-sensitive situations. You will work closely with Product and Engineering as a direct escalation path: reproducing and documenting defects, providing detailed technical evidence, collaborating on fixes and workarounds, and tracking resolutions through to release. Beyond individual cases, you will identify recurring issue patterns, share lessons learned with the Pods, and build reusable diagnostics, runbooks, and preventive best practices that strengthen the quality and resilience of future deployments across the EMEA South FDE team.

What You'll Actually Be Doing

• Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
• Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
• Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

You're Our Person If...

• You have 3+ years of software engineering or technical delivery experience, with at least one production system you’d be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models.
• You have a degree in Computer Science or a related field
• You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.
• You’re fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.
• You’ve been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you’d change.
• You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them.
• You can hold your own in a room with sales teams and customer architects.
• You ship quality code and evaluate AI outputs with engineering rigour.
• You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what’s coming next.
• You thrive in the group chat that’s building something, not just talking about it.
• You’re excited to travel ~25% of the time and work directly alongside customers.

Even Better If...

• Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
• Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
• Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
• Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments

The Builder Experience

• AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow.
• Collaborative Delivery: You’ll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You’ll own real components, benefit from structured mentorship from people who’ve shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
• Frontier Access: Our agentic AI platform is evolving in real time. You’ll work on capabilities most engineers won’t touch for months — spanning Agentforce, data, platform, and headless architectures, and your field insight will feed directly to the product teams building them.
• Continuous Innovation: You’ll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.