Application Guide

How to Apply for Product Owner

at DeepSea Technologies

🏢 About DeepSea Technologies

DeepSea Technologies is at the forefront of green shipping, using AI to drastically reduce fuel consumption and emissions. If you want to apply cutting-edge tech to solve a critical environmental challenge in a traditionally slow-moving industry, this is the place.

About This Role

As Product Owner, you'll bridge the gap between complex maritime operations and AI-driven solutions. You'll own the product backlog, prioritize features that directly impact fuel savings, and work closely with engineers to deliver robust onboard and cloud systems. Your work will directly contribute to decarbonizing one of the world's largest industries.

💡 A Day in the Life

You'll start by checking in with the engineering team on sprint progress and any blockers. Then you might review user feedback from a recent sea trial, refine user stories for the next AI model update, and meet with a shipping customer to discuss their fuel reduction goals. Afternoon could involve prioritizing the backlog with data scientists and preparing roadmap slides for the leadership team.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for DeepSea Technologies

Interview Prep

Practice questions for this role

🎯 Who DeepSea Technologies Is Looking For

  • Has 5+ years as a Product Owner/Manager in B2B, ideally with mission-critical operational workflows (e.g., logistics, energy, industrial IoT).
  • Comfortable with deep-tech concepts: AI models, data pipelines, and cloud platforms, and can translate technical trade-offs for non-technical stakeholders.
  • Strong customer interaction skills, able to gather feedback from ship captains, fleet managers, and engineers to define clear requirements.
  • Educational background in engineering, computer science, or data science, with a passion for sustainability and climate tech.

📝 Tips for Applying to DeepSea Technologies

1

Tailor your resume to highlight experience with operational or mission-critical systems, not just consumer apps. Use metrics like 'reduced fuel consumption by X%' or 'improved system uptime'.

2

In your cover letter, mention a specific challenge in commercial shipping (e.g., slow steaming, hull fouling) and how you'd approach solving it with AI.

3

Showcase your ability to manage technical backlogs: include examples of how you prioritized features when dealing with data-intensive models and real-time constraints.

4

Demonstrate customer empathy: describe a time you visited a shipyard or spoke with end-users in the field to understand pain points.

5

Prepare to discuss how you handle ambiguity—this role involves translating vague operational needs into precise technical requirements.

✉️ What to Emphasize in Your Cover Letter

['Your passion for sustainability and how this role aligns with your career goals.', 'Specific experience with AI/ML products or data-intensive platforms, and how you managed the product lifecycle.', 'Examples of working with cross-functional teams (engineers, data scientists, domain experts) to deliver complex systems.', 'Your ability to balance customer needs with technical feasibility and business priorities.']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read DeepSea's case studies or blog posts about how their AI reduces fuel use. Understand their unique approach (e.g., digital twin, real-time optimization).
  • → Learn about the commercial shipping industry: key regulations (IMO 2030), fuel types, and operational challenges like route planning and hull maintenance.
  • → Check out their engineering blog or tech talks to understand their tech stack and how they deploy AI models onboard and in the cloud.
  • → Look at their competitors (e.g., Windward, Nautilus Labs) and understand what makes DeepSea different.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you prioritize features for an AI model that predicts optimal ship speed? Consider fuel savings vs. crew comfort vs. regulatory compliance.
2 Describe a time you had to make a trade-off between two important features. How did you decide?
3 How do you gather feedback from users who are non-technical (e.g., ship captains) and turn it into actionable requirements?
4 Explain your experience with cloud platforms (AWS, Azure) and data pipelines. How do you ensure data quality for AI models?
5 How would you measure success for a product that reduces fuel consumption? What metrics matter most to the business and to customers?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Don't focus on consumer product experience; emphasize B2B and operational systems instead.
  • Avoid being too vague about AI/ML—show you understand model lifecycle, data dependencies, and deployment challenges.
  • Don't neglect the environmental angle; this company is mission-driven, so show genuine interest in sustainability.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to DeepSea Technologies!

← Back to Job Listing Apply Now →