Full Stack Engineer, Billing
Hace 4 días
Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España
Papayadash
Jornada completa
40.000 € - 80.000 € Temporal
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Papaya is building the intelligence layer for vehicle fleets.
Fleets spend billions every year, but most of that spend is poorly understood. Data is fragmented across leasing providers, fuel, maintenance, telematics, and charging. There’s no single source of truth. Costs don’t reconcile. Decisions are reactive. Even large organisations struggle to answer simple questions:
What are we actually spending?
Where are we overspending, and why?
Are we being charged correctly?
This has always been a hard problem. What’s changed is that it’s now solvable. We have real customers, real fleet data, and a clear industry need. At the same time, the AI tooling needed to make sense of this data is just becoming viable. The next generation of fleet software won’t just store information. It will understand what is happening, explain why it matters, and help teams act.
What we’re building
Papaya turns messy fleet data into something companies can trust and act on.
At the core, we:
Ingest real-world data (often CSVs, not clean APIs)
Standardise it into a single, consistent model
Provide a clear, explainable view of total cost of ownership
But the goal isn’t just visibility. It’s action. We’re building systems that operate directly on the data and take on real workflows:
Reconciling discrepancies across suppliers when numbers don’t match
Investigating billing issues and drafting dispute cases
Detecting anomalies across thousands of vehicles
Enforcing policy and contract compliance
A big part of this is building and orchestrating agents that can do this work reliably and that our customers can trust. You’ll work across the full stack on problems where data is incomplete, inconsistent, and sometimes wrong.
Typical work includes
Designing and evolving the canonical data model
Building pipelines that handle messy, real-world inputs
Defining how the system resolves conflicting data
Building and orchestrating agents that reason over the data and take action
Designing how those agents behave, fail, and recover
Making outputs explainable and auditable (not just “LLM says so”)
Shipping features end-to-end, from idea to production
About the role
This is as much a product role as it is engineering. You won’t just implement decisions, you’ll shape how the system behaves. Benefits Competitive salary of €40,000 to €80,000 Meaningful equity Apple hardware Barcelona HQ in front of the beach (Norrsken House) Generous holiday + public holidays Team off‑site in fun places (We've been to Girona, Lisbon and Wales so far) Qualifications Strong full‑stack ability (stack doesn’t matter) Comfortable with ambiguity and messy data Able to take problems from idea to shipped solution Product mindset: focused on outcomes, not just code Strong opinions, loosely held Location This role is based in Barcelona. We’re open to candidates relocating from elsewhere in Europe and can support the move for the right person. #J-18808-Ljbffr
About the role
This is as much a product role as it is engineering. You won’t just implement decisions, you’ll shape how the system behaves. Benefits Competitive salary of €40,000 to €80,000 Meaningful equity Apple hardware Barcelona HQ in front of the beach (Norrsken House) Generous holiday + public holidays Team off‑site in fun places (We've been to Girona, Lisbon and Wales so far) Qualifications Strong full‑stack ability (stack doesn’t matter) Comfortable with ambiguity and messy data Able to take problems from idea to shipped solution Product mindset: focused on outcomes, not just code Strong opinions, loosely held Location This role is based in Barcelona. We’re open to candidates relocating from elsewhere in Europe and can support the move for the right person. #J-18808-Ljbffr