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# Staff Product Manager, Deel It

- **Company:** Roledeel It
- **Location:** Spain
- **Salary:** €100,000.0 - €140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Spreadsheets, Machine Learning, SQL Databases, Prompt Engineering, Data Management
- **Published:** October 4, 2026
- **Apply:** https://www.adzuna.es/details/5910727092

## About the Role

You'll be fluent in prompt engineering and you'll show it, not just talk about it.
What we're looking forEssential6+ years of product management experience, with at least 1 year at Staff PM level or equivalent senior IC role.
You've owned a significant problem space end-to-end.
You've shipped under pressure.
You've made calls with incomplete information and learned from them.
Builder mindset, not project manager.
(This is non-negotiable.)
You take a messy, loosely-defined problem space and solve it.
You're comfortable without a roadmap.
You ask "why?" and "what are we really trying to achieve?" and you come back with a crisp point of view.
You thrive on autonomy.
You don't need to be told what to do.
You dig to understand what matters.
You're impatient with ambiguity and you have a bias toward clarity.
Fast-iterative mentality.
You've operated in fast-scaling environments where you've seen the cost of slow decisions and the leverage of fast feedback loops.
You ship, measure, learn, adjust.
You're comfortable with 80% certainty and a strong conviction.
You iterate based on data, not consensus.
Systems thinker.
You see how teams, tools, and processes connect.
You find leverage points others miss.
You think about unintended consequences.
You optimise for the whole system, not the piece in front of you.
When you're looking at a logistics problem, you see how it connects to IT support, supplier incentives, and engineering velocity.
Execution-led and detail-oriented.
You're close to the work.
You move fast without losing quality.
You drive delivery.
You're comfortable holding detail and you're impatient with fluff.
You communicate with clarity and conciseness: you get to the point fast.
Data fluent and self-sufficient.
You're comfortable with SQL, data platforms, and spreadsheets.
You pull your own analysis.
You don't wait for someone else to tell you what the data says.
You build your own views.
Numbers don't faze you.
Active AI user.
You use AI tools in your day-to-day work: research, synthesis, writing, analysis, decision-making.
You can show concrete examples of how you use it, not just describe it conceptually.
You're curious about new tools and you experiment with them.
Nice-to-haveExperience with supplier networks or platform product work where the "customer" is internal or distributed (not a consumer-facing product).
Experience scaling a product or business through hypergrowth.
You've felt scaling pain.
You've had to rethink architectures, processes, and teams as you've grown.

## Description

We're hiring a Staff PM to own the Operations product surface and drive that automation and expansion agenda.
The scope is large.
The engineering capacity is there (growing from 8 to 18).
The operational complexity is real.
What's needed is someone who can look at the sprawling landscape (logistics, device lifecycle, IT support, supplier networks, SLAs, platforms, data) and come back with an opinionated roadmap about what automation moves the needle most, how to unlock supplier capacity, what ships next, and why.
You won't be handed a pre-defined backlog to execute.
You won't get heavy direction on what to build.
You'll operate with real autonomy.
You'll dig into data, talk to ops teams and suppliers, validate assumptions, think in systems, and come back with a clear point of view.
Then you'll drive it.
This is a high-ownership role in a high-pace environment.
It's also one of the highest-leverage roles in Deel IT: what you ship directly unblocks dozens of people and saves the company real money.
What you'll doOwn the Operations product surface with real autonomy.
You won't get a roadmap handed to you.
You'll have access to smart, generous people (engineering, operations, finance, suppliers) who can answer your questions and give you context.
But they won't give you the map.
You'll need to dig, synthesise, validate, and come back with a clear point of view.
Here's what that looks like in practice: Diagnose and prioritise relentlessly.
You'll pull data from multiple sources: the engineering backlog, logistics performance, IT support ticket patterns, supplier feedback, financial impact.
You'll synthesise it into a ruthless roadmap: what moves the needle, what can ship fast, what's worth the engineering effort, and what's not.
You'll own this roadmap and defend it when people push back.
You'll iterate it based on what you learn.
Drive automation that removes humans from the loop.
Your north star is shipping features that automate manual workflows and reduce human-in-the-loop steps across operations and supplier networks.
Examples include shipping label generation (end-to-end), real-time tracking aggregation, device condition documentation, IT support ticket routing and resolution, and supplier onboarding workflows.
You'll scope each one, ship it, measure it, and move to the next.
Own the metrics that matter.
Define what good looks like across on-time device delivery rate, IT support ticket response time, revenue per operations headcount, and revenue per engineering headcount.
You'll build dashboards and early-warning systems that surface SLA risk before it becomes a crisis.
You'll track them live and close the gaps relentlessly.
Translate complexity into clean, well-scoped work.
You'll sit between four worlds: frontline operations (messy, data-rich, constraint-heavy); engineering (clear-headed, velocity-focused); suppliers (incentive-aligned but distributed); and finance (outcome-focused).
You'll take the complexity and translate it into clean, well-scoped work that engineering can execute fast.
You'll maintain a tight feedback loop so you learn quickly when you're wrong.
Use AI actively in your day-to-day.
Not as a nice-to-have.
As your default.
Research, synthesis, data analysis, decision documents, spotting patterns in unstructured feedback., We will provide application and/or interview accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities or other needs.
If you require application and/or interview accommodations, please inform our Talent Acquisition Team via email (******) and a team member will be in touch to ensure your equal participation.
As part of our hiring process, we primarily rely on interviews and role-related assessments.
In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations.
This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications.
This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws.
We ensure human oversight is maintained in all final hiring decisions.
Your personal data is not used to train AI models.
For more information on how we process your personal data, please see our Recruitment Privacy Policy.
For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT
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