Product Manager-Jobs in Vereinigte Arabische Emirate

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Company : this is on behalf of a related company, not Ypsilon Capital DIFC

Location : Remote, hybrid in Dubai (UTC –2 to +2 strongly preferred)

Type : Full-time, Start in July 2025

Startup in Stealth mode

We are building an AI-native platform to automate and scale institutional investment tasks and workflows to build the AI operating software for asset owners (eg. pension funds, insurance companies, private wealth managers). From parsing unstructured fund or transaction data to generating and reviewing due diligence questions, creating internal decision memos and automated portfolio monitoring, our product shall bring the ‘Minority report’ feel to the dusty world of traditional finance. We move fast, build smart, and deploy systems that create tangible value from Day 1 .

Role Overview

We’re hiring a Senior Product Manager with strong Fintech and Digital experience to lead product strategy, requirement definition, UI / UX, and workflow for our AI platform. You’ll operate at the intersection of machine learning, product design, and institutional finance —translating complex ideas and complex use cases into precise product requirements, intuitive user workflows and interfaces.

As one of the earliest PMs on the team, you’ll own core product lines, partner closely with our business team for the design of product features and requirements definition and the AI engineering team to help create a new type of AI toolkits.

We are looking for a bright, experienced person that is keen to make a dent in the world.

Key Responsibilities

• Own and evolve the product roadmap for AI and ML systems, with direct alignment to investor workflows and platform performance goals
• Prioritize features based on user feedback, technical feasibility, business value, and regulatory implications
• Drive product-market fit for features leveraging RAG, LLMs, and financial NLP

AI-Native Product Definition

• Translate complex AI capabilities (LLMs, embeddings, vector search, inference APIs) into user-centric functionality
• Write detailed, technical PRDs for new ML features — including data requirements, model objectives, API contracts, and edge cases
• Define success metrics for AI features (accuracy, latency, precision-recall, business lift)

Cross-Functional Leadership

• Partner closely with our business experts and AI / ML engineers to scope experiments, validate hypotheses, and iterate on deployments
• Collaborate with Data Engineering, DevOps, and Compliance to ensure feature integrity, performance, and auditability
• Lead cross-team sprints focused on model-driven user experiences (e.g., RAG-powered memo generation, automated risk extraction)
• Design and analyze A / B tests to optimize user flows and ML model outputs
• Define input / output validation strategies and feedback loops to improve model quality post-deployment
• Shape our approach to human-in-the-loop workflows and trust calibration in AI features

Product Excellence & Documentation

• Create wireframes, acceptance criteria, user guides, and release documentation tailored to a technically adept user base
• Represent the voice of the customer internally — distilling abstract pain points into actionable technical product ideas
• Work with design to turn back-end intelligence into intuitive front-end UX patterns

Required Qualifications

• Minimum 5 years of Product Management experience , including 2+ years working with AI / ML-based products
• Demonstrated ownership of end-to-end product lifecycle for AI-powered features
• Familiarity with LLM architectures, embeddings, RAG , and vector databases (e.g., Pinecone, FAISS)
• Strong understanding of ML model lifecycle — from data ingestion and training to deployment, monitoring, and retraining
• Technical fluency in cloud services (SageMaker, Bedrock, Lambda, Step Functions) and infrastructure-as-code concepts
• Excellent communication skills — able to synthesize complex ML concepts into clear, actionable product specs
• Proven ability to drive clarity in ambiguity and deliver under aggressive timelines in startup environments
• Deep empathy for technical teams paired with relentless focus on high quality user experience
• Basic understanding of institutional finance, asset management, or investment tech
• Experience building AI tools for knowledge workers, research analysts, or decision-makers
• Hands-on exposure to MLOps workflows and prompt engineering strategies
• Experience with compliance-heavy environments (GDPR, SOC2, encryption in motion and at rest)
• Familiarity with experimentation platforms, observability tools (CloudWatch, QuickSight), and agile processes

What we offer

• Shaping the future of the institutional asset management world
• Competitive salary (based on experience) + ESOP
• 100% remote work with flexible hours and async-friendly communication culture
• Autonomy, ownership, and a seat at the table in defining the future of institutional AI tooling
• Budget for professional development, conferences, and industry events
• An obsessive, curious, high-output team that values sharp ideas, speed, and measurable outcomes

APPLICATION INSTRUCTIONS

We’re looking for sharp minds and attention to detail. Follow the instructions carefully :

2.Subject line : AI Product Manager – COGNIUM_PM2025

3.Attachments & Content :

oCV / Resume in PDF format, named : Lastname_Firstname_CV.pdf

oOne-page Product Summary PDF (max 1,000 words) describing an AI product / feature you led end-to-end. Name it : Lastname_Firstname_Feature.pdf

oCover Note in the email body including :

A link to a product portfolio, case study, or GitHub (if applicable)

Bullet answers (max 150 words each) to :

1.Describe a real-world AI product you shipped and how you balanced model accuracy with user UX.

2.Explain how you collaborated with engineers to improve LLM performance post-deployment.

3.Explain your approach to get from a pain point by business experts to a final product

o First line of your email to state exactly :

I confirm I have led AI product development involving deployed models on AWS.”

Deadline : Submit by Friday, June 6, 2025, 23 : 59 UTC

We value clarity, rigor, and initiative. Impress us by showing you do, too.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Product Management and Marketing

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