Forward Deployed Engineer (fmd)
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Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Short Description
SPREAD builds AI-powered software that helps leading manufacturers like BMW Mercedes Volkswagen Bosch and Rheinmetall master the complexity of software-defined products. Our Engineering Intelligence Platform turns disconnected technical data into usable insights so engineering teams can bring products to market faster more cost-efficiently and with higher quality. Recognized with the SPARK AI Innovation Award (Handelsblatt & McKinsey 2024) and listed among LinkedIns Top Startups DACH SPREAD is one of Europes fastest-growing AI companies.
Role:
As a Forward Deployed Engineer you deliver customer outcomes by turning real operational needs into working software on top of our platform. You will partner closely with customer teams to understand their processes and data landscape shape a clear technical approach and ship end-to-end solutions spanning data integration domain modeling and user-facing applications. You will report to our Head of Engineering who will support you as a senior sparring partner for technical decisions reviews and escalation.
Your Mission
- Partner with customer stakeholders to understand workflows constraints and goals then translate them into a clear technical plan.
- Identify relevant data sources across established system landscapes (ERP/MES/PLM spreadsheets databases) clarify access paths and move from assumptions to usable inputs.
- Extend SPREADs info-model when needed (GraphQL schema) keeping solutions reusable beyond a single engagement.
- Build data mappings and integration flows with our internal ETL/mapping tooling (nextgen-xmap) turning cross-system references into maintainable pipelines.
- Deliver user-facing solutions in two ways depending on what the situation needs:
- Rapidly via low-code when speed is the best lever
- Via custom UI in TypeScript/React when the use case calls for it
- Communicate progress and trade-offs clearly with Product Value Realization and Engineering. Surface risks early and ask for the right support.
- Travel occasionally to customer sites when it meaningfully improves discovery alignment or rollout.
- Package your outcomes so they can scale including solid documentation clean structure and a handover-ready setup for engineering follow-through.
Your Experience
Must-have
- 4 years of engineering experience delivering software in real-world environments including ambiguity constraints and deadlines.
- Strong hands-on skills in JavaScript or TypeScript and React.
- Ability to write complex SQL confidently including joins aggregations window functions and performance-aware querying to explore and validate enterprise data.
- Practical understanding of ETL and data integration fundamentals including mapping transformation validation and how source data becomes something a UI can rely on.
- Comfort in customer-facing settings: you listen well ask sharp questions and explain technical choices clearly to different audiences.
- Delivery mindset and ownership: you scope iterate and get to a working outcome.
Strong plus
- GraphQL experience or the ability to pick it up quickly if you are strong in SQL and schema thinking.
- Exposure to low-code and AI tooling and you genuinely enjoy building this way.
- Experience navigating established enterprise systems and complex data landscapes (SAP Oracle custom databases multi-team ownership).
Why SPREAD
- Build customer-facing solutions at an AI-first company where shipping value is the baseline and where platform leverage grows with every successful delivery.
- Work at the intersection of product engineering and customer teams with the freedom to shape approach scope and implementation.
- Make measurable impact in complex enterprise environments where integrated data and usable applications directly change how teams operate.
- Strong overall package including attractive compensation mobility budget (Deutschlandticket) Urban Sports partnership 30 vacation days workation options a volunteering day and an annual learning budget.
Contact
Dmytro İefymenko
Köpenicker Str. 40c 10179 Berlin
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Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
About Company
Our Engineering Intelligence Graph, analytics hub & low-code collaboration environment form an intelligent layer on top of your existing engineering software stack. Our EI Graph database represents how mechatronic systems work. Together with our analytics hub, it connects all pro ... View more
