You make customer value technically real. The moment a contract is signed, you own the path from raw, undocumented ERP data to the first trustworthy PartsOS planning result. And you get there fast: first real value within five working days of getting access to a customer's data.
You sit with maintenance, spare-parts, and supply-chain teams in real factories, open the SAP export nobody documented, and turn it into a plan they can run. You are the technical half of a two-person team: the Customer Success Manager owns the relationship and the business case; you own the system and the speed. Time-to-Value is your number.
Forward Deployed Engineer (all genders)
PartsCloud
16 hours ago
Full-time
On-site
Stuttgart, Baden-Württemberg, Germany
Your mission
What You’ll Be Working On
Time-to-Value
- First meaningful planning result within five working days of data access. This metric belongs to you.
- You never hand extraction back to the customer as homework: you drive it together, on the call, in one session.
- Drive extraction from the customer's ERP, then clean, map, validate, and load it reliably and repeatably.
- Build robust transforms that handle 150+ columns, wrong currencies, duplicates, and hidden sheets, flagging every assumption and validating with the customer's system owner instead of guessing.
- Write connectors and idempotent data pipelines in SQL and Python; ship reproducible imports, not throwaway spreadsheets.
- Define the export path and cadence, clarify interface ownership, and answer SAP indirect-use, licensing, and security questions before they stall a trial.
- Reason about any industrial ERP's data model where demand, stock, lead times, and BOMs live whether it's SAP, Business Central, proALPHA, or a homegrown system.
- Translate customer-specific planning requirements such as service levels, lead times, criticality hierarchies and reorder logic into PartsOS configuration.
- The customer's manual judgment stays in charge; the AI augments, it doesn't overrule.
- Every recommendation traces back to a raw ERP field and coexists cleanly with the customer's existing MRP/disposition logic.
- Nothing unvalidated reaches the customer. You test in staging and catch the data defect before they do.
- Turn one-off integrations into reusable templates that make the next onboarding faster.
- Identify and hand reproducible product gaps to Engineering, clearly separated from implementation issues.
- Every account is a two-person team. The CSM owns the relationship, stakeholders, business case, and conversion; you own the data, the system, and Time-to-Value.
- When the CSM brings the business goal, you translate it into configuration; when you hit a technical blocker, the CSM clears the stakeholder path.
- Clean seams, no overlap: you are never pulled into managing the relationship, and the CSM is never pulled into data prep.
Who We’re Looking For
Must-have
- 3–8 years in a hands-on, customer-facing technical role like solutions engineering, implementation, forward-deployed, or data engineering where you delivered working outcomes, not just specs.
- Strong with data: SQL and Python for transformation; you can trace a planning output back to a raw ERP export.
- You reason about any industrial ERP's data model rather than knowing one system's screens.
- You solve in the room with customers and own the result; your energy comes from fixing the real problem, not from working a ticket queue.
- Fluent in German and English.
- Direct SAP exposure (ECC / S/4HANA, PM or MM) is useful, but not the point: we are not hiring an SAP consultant.
- Microsoft Business Central, proALPHA, or other Mittelstand ERPs.
- REST APIs and scripting to automate recurring data flows.
Not Quite Your Thing?
- You'd rather work tickets and tasks than solve a customer's problem in the room.
- You need fully defined specs and freeze on messy, undocumented data.
- You're a single-ERP specialist who isn't genuinely excited by the customer problem beyond the system.
- You hand data extraction back to the customer and wait.
- You polish forever and can't ship a working-enough first version fast.
- You want to own the customer relationship and the commercials. That's the CSM's lane.
Why You’ll Love This Role
- Ground-floor ownership. You're our first dedicated FDE. You set the standard and build the playbook that lets PartsCloud onboard the next wave of industrial customers in days, not months.
- Your work decides whether customers convert. We're scaling trial customers, and the technical path to value is what determines success. There is no gap between your effort and the outcome.
- Competitive salary package plus meaningful participation in our Virtual Stock Incentive Plan (VSIP), a real upside as we grow.
- On-site in Stuttgart, 4 days/week, with flexible hours. Top equipment (MacBook and whatever you need), WELLPASS, a great office at Bosch Areal in the city centre, and regular team off-sites.
The Tools You’ll Be Using
- PartsOS — our platform; you'll be the deepest technical expert on it
- Customer ERPs — SAP (ECC / S/4HANA), Microsoft Business Central, proALPHA, and others where relevant
- SQL, Python, REST APIs and data exports
- Claude and AI agents — to compress a two-day integration into two hours; you reach for these before doing things the slow way
- HubSpot, Notion, Teamwork, Slack
Ready to Be Part of Something Big?
A customer says "we can't get this out of SAP and our consultant is unavailable." You don't wait. You propose a concrete extraction path on the call and run the first export together in one session. An export lands with 150 columns and hidden sheets. You build the transform, flag every assumption, and validate it before it touches production. You ship working-enough first versions fast, then make them better.
If that sounds like you, we'd love to hear from you. Tell us about something real you've shipped against messy data.
If that sounds like you, we'd love to hear from you. Tell us about something real you've shipped against messy data.
About us
When a machine stops on a factory floor, it can cost tens of thousands of euros per hour. The spare part that would have fixed it in minutes was either out of stock, buried in the wrong warehouse, or never planned for. This is one of the most expensive, most overlooked problems in industrial operations — and it's been managed with spreadsheets and gut feel for decades.
PartsCloud is changing that. Our AI platform PartsOS turns the messy, fragmented ERP data of real factories into spare-parts plans that run in production every day. Porsche Motorsport, Schunk, Coperion, Glaston, and Elopak already run on PartsOS. We operate from Stuttgart and Berlin, we're growing fast, and the category is still wide open.
If you join us now, you're one of the people who decides what this company becomes.