Product Manager - AI
Podsumowanie roli od JobGrid
Product Manager - AI at RemotePass: Zdalnie, Hiszpania; Pełny etat; IT; Product Manager. This listing is part of JobGrid's Zdalne oferty pracy AI z publicznych stron firm. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying. This listing is part of JobGrid's Zdalne oferty pracy dla product managerów z publicznych stron firm.
- Location and workplace: Zdalnie, Hiszpania
- Role classification: IT, Product Manager, Pełny etat
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About RemotePass
We are a UAE-based startup working remotely from all over the world. Our team is diversified and spread across 20+ different countries. We aspire to become a leading remote work enabler that simplifies access to world-class talent. We believe that anyone should be able to work anytime, anywhere.
We are backed by world-class regional & international investors: BECO Capital, Wamda Capital, Khawarizmi VC, Wealth Well, Falt6Labs, and Plug & Play.
Role Overview
Product Manager – AI
Location: Remote
Team: Product & Operations
This isn’t a typical PM role.
You’ll own how AI shows up across RemotePass — from early experiments to real, production-grade features used by customers navigating complex global payroll, compliance, and payments.
The challenge isn’t just “adding AI.” It’s making it actually useful in messy, high-stakes workflows where accuracy matters.
You’ll be working directly with the CEO, engineers, and operators to figure out:
- What should be automated vs. controlled
- How users interact with complex data through AI
- Where AI genuinely reduces friction (and where it shouldn’t exist)
A lot of this is not defined yet. That’s the point.
What you’ll do;
- Define and drive the AI product direction — not just features, but how it fits into the core platform
- Work closely with engineering to ship, test, and iterate quickly
- Get deep into user problems (payroll, compliance, ops) and turn ambiguity into clear product decisions
- Make trade-offs between speed, accuracy, and trust in AI-driven workflows
- Take products from early-stage → usable → scalable
- Act as the bridge between technical capability and real-world use cases