DeepSea Technologies
Customer Operations Engineer
10 days ago
About the Job
About Us
DeepSea was founded to bring the latest AI technology to make the world of shipping leaner, greener, and better connected. Our cloud platforms harness deep learning models trained on real-time data to enable our customers to optimise the routes, speeds, operation, and maintenance of their vessels, saving fuel, money, time and reducing environmental impact. DeepSea talent is spread across Greece, the United Kingdom, Romania, Thailand and Japan and we are growing quickly.
We are a scale-up company - meaning you will be bringing us to the next level and deliver a tangible contribution to a more sustainable shipping world. There is no complex hierarchy nor long approval processes. We just deliver. You will be joining a company with highly skilled and smart people who love solving complex problems.
About the position
The Customer Operations department is responsible for ensuring our customers get the best value out of our products and effectively use them to make their vessels more efficient. This includes maintaining customer relationships, integrating with the customer’s onboard and cloud IT systems, configuring the product for use by the customer, providing expert advice and consulting with the customer on their use of the products, educating and informing them of important product information, providing support and resolving customer queries, and coordinating both outsourcers and teams within DeepSea who work on the above. They relay feedback from customers and their own expertise to help drive strategy, communications and product development.
DeepSea is looking for an experienced Customer Engineer to take ownership of our vessel data integration and customer technical onboarding. This role will work closely with the Data Operations and Engineering teams, and will ensure the seamless integration of vessel systems into our platforms, configure and maintain data pipelines, and support the delivery of reliable, high-quality data to our customers. The department is responsible for enabling the accurate flow of operational data from vessels to our analytics platforms, ensuring smooth onboarding experiences, maintaining system health, and supporting ongoing customer operations.
Our products are used by shipping company engineers and captains to optimise the technical operations and navigation of their vessels based on our in-house developed AI and optimisation algorithms. You will need to gain a good understanding of our products and act as a champion of the AI-driven approach to vessel performance optimisation.
What you will do:
Analyse customers’ on-board systems to determine how the physical quantities represented by their outputs map to our system’s inputs and configure our system to enable integration
Configure the details of new vessels into our platform and set up new users and access rights
Support and maintain the live data feed of existing vessels and vendors
Build automation and integration tools between databases
Collect and analyse data, plan and prepare reports
Design, construct, maintain and troubleshoot data architecture, including writing code for required customisations
Coordinate deliverables and their dependencies with task management tools
Create and maintain comprehensive documentation
Collect and analyse data, plan and prepare reports
The ideal candidate will have:
A degree in Engineering or a relevant field
Good knowledge of Excel and SQL
Skills in Python or other similar programming languages
Good experience with Linux
At least 2 years of work experience in a similar role will be considered an asset
Any previous experience in the maritime industry will be considered an asset
Excellent communication, problem-solving and time-management skills
Fluency in the English language, both written and verbal
Excellent organisational skills and attention to detail
Results-oriented mindset
What we offer:
You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry, and will also receive:
Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.
Health Package: Private health insurance coverage and mental health - therapist benefit.
Tech Equipment Package: Laptop and other policy-based equipment.
Paid leaves: emergency and other leaves.
Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops.
Remote Flexibility: Great office space in the heart of Athens and remote or hybrid option.
At DeepSea, we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin, gender or sexuality, age or family status, disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed, so we do everything we can to make our environment welcoming and safe for everyone.
Data Privacy
The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful, your data will be retained for 5 (five) years to consider you for future opportunities. After this period, your data will be deleted or destroyed. In case you do not wish for the company to keep your CV and personal data, please send an e-mail to dpo@deepsea.ai.
About the Company

DeepSea Technologies
DeepSea Technologies is a shipping software company specialising in optimising vessel performance for ship owners and operators of commercial vessels including container ships, bulk carriers, LNG carriers and tankers. The company works predominantly in the field of artificial intelligence, developing algorithms and platforms that allow vessels to consume less fuel, generate fewer emissions, predict future maintenance requirements and travel optimal shipping routes.
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