Welcome to PXGEO

PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.

What's the role?

Official job title is Supply Chain Manager - Asset and Inventory and will be based in Dubai,UAE.

We are seeking an experienced and highly skilled Asset & Inventory Manager to lead the effective management of our equipment assets within the marine seismic survey industry. This critical role is responsible for ensuring assets are accurately tracked, optimally utilized, and strategically managed to drive operational efficiency, control costs, and support long-term business objectives.

The position combines hands-on operational expertise with a strategic, forward-looking approach, ensuring that assets are not only properly accounted for but also aligned with the organization’s broader strategic goals. Working closely with engineering, operations, finance, and procurement teams, the successful candidate will ensure that all assets are managed efficiently, safely, and sustainably throughout their entire lifecycle. Key responsibilities include:

Asset Management Plan

Location:  Need to be able to work EST timezone.

Remote | Full-time

Compensation: $175K - $250K

We are hiring on behalf of our client who is developing a cutting-edge autonomous agent runtime focused on high-frequency financial environments. While current agents operate effectively as independent units, the next phase of evolution involves building a sophisticated intelligence layer where the entire fleet learns autonomously from real-time market outcomes.

The Staff AI Engineer will be responsible for moving beyond manual propagation of insights to a system where the fleet gets smarter with every trade. This is a high-stakes production role, not a research position. The feedback loop is immediate and measurable: the work produced either enhances agent profitability or it does not. The successful candidate will own the intelligence layer that turns thousands of daily trading decisions into compounding, autonomous growth.

Key Responsibilities:

Learning & Optimization

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

We are hiring on behalf of our client, a Luxury Hospitality Management Company based in Cyprus, a Director of Marketing Operations & Marketing Technology, who will report directly to the Board of Directors and work in close collaboration with the Director of Business Development, the Director of Corporate Affairs & Communication, and the General Managers of the Hotels. He will be responsible for building, managing and optimizing the marketing operating infrastructure across the Company’s luxury hotel portfolio.

This role ensures that the marketing strategy set by leadership is translated into structured, measurable and scalable execution across all properties. The position carries full accountability for marketing operations, marketing technology, vendor governance and team development, supporting portfolio growth and operational excellence.

This role may operate under a hybrid working model, combining on-site presence with remote work, subject to business needs.

Key Responsibilities:

Brand Ownership & Evolution

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

Blockchain Indexing Specialist

Location: Can do at least 4 hours overlap between 10am-6pm Brazilian time - Cannot hire in Germany or France

Remote | Full-time

Compensation: Competitive

Our client operates a premier real-time blockchain analytics platform utilized by over 5 million crypto traders every month. As a lean, high-performance team of ten, the organization remains at the absolute core of the rapidly expanding decentralized finance (DeFi) industry.

The organization is seeking a Blockchain Engineer to join the core engineering team. This individual will manage and evolve the indexing layer as the platform scales across hundreds of chains and billions of transactions. The mission is to architect and maintain high-performance indexers that ensure the platform remains the fastest and most reliable data provider in the ecosystem. This role is designed for a specialist who thrives in high-throughput environments and possesses a deep technical understanding of blockchain data structures.

Key Responsibilities

Senior Data Engineer - AI-First Fintech Platform

Location: Remote - Fully Remote - Across Europe

Compensation: $120K - $140K

We are a rapidly growing fintech and crypto platform undergoing an AI-first transformation. We are seeking a strategic, high-impact, and high-ownership Senior Data Engineer to build the foundational data infrastructure that powers our cutting-edge AI features.

You will report directly to the CTO and work closely with our Machine Learning (ML) team to consolidate and govern our data ecosystem (including PostgreSQL, Kafka, BigQuery, and GCS) into a clean, governed, and ML-ready platform. Your contributions will directly enable critical AI functionality across our product suite.

This role is responsible for the end-to-end design, implementation, and governance of our core data platform, ensuring high performance and readiness for ML applications.