Forward Deployed Engineer, SPREAD AI
Decision intelligence layer for the world's most complex engineering organizations
Be an early applicant
Decision intelligence layer for the world's most complex engineering organizations
21-100 employees
Be an early applicant
21-100 employees
Company mission
To power the next era of software-defined product innovations by making product data for the most accessible, intuitive, and actionable for every engineer's mind.
Role
Who you are
- 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
Desirable
- 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)
What the job involves
- 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
- 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 SPREAD’s 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
Our take
The complexity of modern products, as well as the associated manufacturing processes, has increased over the past few decades. This growing complexity introduces three major challenges for engineers creating complex products. Firstly, the process is often inefficient, with engineers spending large amounts of time on non-productive things like coordination meetings. Secondly, information in this area is often difficult to find: engineers commonly spend around a quarter of their time searching for product information. Thirdly, creating cross-departmental understanding is often highly challenging. In short, things need to get better.
This is where SPREAD AI comes in. Its software streamlines the product design process at all stages, from providing access to part or component information to suggesting how a product can be assembled and even repaired. These high-level product insights aim to increase efficiency in the design process.
SPREAD AI has generated a lot of interest with a customer base including major manufacturers such as Audi, Ford, Miele and Porsche. This has led to the startup raising a significant amount of funding which it intends to use for early product development and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (2 rounds)
May 2023
$16m
SERIES A
Jan 2020
$3.1m
SEED
Total funding: $19.1m
Company benefits
- Competitive Pay & Equity: We benchmark salaries against leading Berlin SaaS peers, review them annually, and add bi‑annual performance bonuses plus Share Options. When SPREAD’s graph tech scales, every employee shares the upside—delivering transparent, future‑proof total compensation you can actually plan around.
- Recharge Time: Enjoy 30 vacation days including a full company shutdown between Christmas and New Year. A “no Slack, no email” rule plus clear holiday hand‑overs mean you return rested, not buried, making real recharge part of our operating model.
- Hybrid Work with Pro Tools: Collaborate at our light‑filled HQ in the heart of Berlin, work remotely anywhere, or roam the EU for 90 days. Whatever you pick, you’ll get a MacBook—and if you’re based outside Berlin, an additional €500 remote-office budget so performance never depends on geography.
- Green Mobility Perks: Slash your commute footprint: ride Berlin with our subsidised Deutschlandticket and lease any bike or e‑bike through #SPREADWheels’ tax‑advantaged scheme. Stay fit, save money, and cut CO₂—whether you’re gliding to stand‑up or hitting weekend trails.
- Fitness & Wellness: #SPREADFit unlocks thousands of gyms, pools, yoga studios, and climbing halls via Urban Sports Club—from Munich layovers to Lisbon workations. Better focus, stronger bodies, healthier minds—all subsidised by SPREAD
- Continuous Learning: Tap €1,000 every year for courses, conferences, or cloud credits, sign up for weekly German classes to keep both your tech stack and your vocabulary expanding.
- Digital Pension Plan: #SPREADPension powered by DYNO turns retirement saving into a few taps: commission‑free ETF portfolios, live tracking, and tax‑advantaged contributions topped up by SPREAD and the state. Portable between employers, transparent on fees—the kind of FinTech simplicity SPREADsters expect.
- Team Weeks & Social Events: Bi-annually we fly everyone to Berlin for strategy deep dives, hackathons, and shared beer. Add a SommerFest, a legendary Christmas party, and regular remote‑friendly socials, and you get genuine bonds—minus forced fun or after‑hours schedule creep.
Company HQ
Mitte, Berlin, Germany
Leadership
Philipp Noll
(Co-Founder & Managing Director)Prior to co-founding SPREAD AI in 2019, Philipp was a Senior Management COnsultant at MHP (A Porsche Company) and a Production Engineer at Daimler.
Robert Göbel
(Co-Founder & Managing Director)Robert began his career in finance, working at Deutsche Bahn and IMB, before spending over 3 years in management positions at MHP.
Shane Connelly
(CPO)Prior to joining SPREAD AI in 2025, Shane was the Head of Product at Vectara and Director of Product Management at Kong.
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