Toyota AI Ventures Talent Network Featured Jobs: Data Analytics Lead and Sales Application Engineer
One of the ways Toyota AI Ventures supports our portfolio companies is through our growing Toyota AI Ventures Talent Network. The talent network allows job seekers to find some of the most interesting open positions at the startups in our portfolio and request introductions with the hiring managers working to fill them. In this week’s blog post, we’re looking at two roles at Sea Machines Robotics, a startup building autonomous systems for the marine industry.
Sea Machines was founded in 2015 by Michael G. Johnson, who was part of the salvaging team of the Costa Concordia cruise ship that ran aground in the Tyrrhenian Sea in January 2012. Michael noticed that when it came to the maritime industry, often the most advanced piece of technology available was an Excel spreadsheet. Since then, he and his team have been building industrial-grade, autonomous control and advanced perception systems for marine vessels that can help automate time-consuming, repetitive tasks on the water.
Sea Machines is headquartered along the waterfront in Boston, with a satellite office in Hamburg, Germany, and is actively looking for professionals that are passionate about increasing the safety of maritime crews and the productivity of oceangoing vessels.
Data Analytics Lead (Boston, MA): Sea Machines is currently hiring an experienced Data Analytics Lead to head its team of data engineers and scientists. Sea Machines is looking to fill this role with a creative individual who can apply learning models to existing datasets with the goal of improving products, optimizing company efficiency, and discovering new revenue opportunities in the marine technology market.
This role is perfect for a hands-on, innovative professional, with a background in building and mining heterogeneous datasets. As the data analytics lead, you will develop, implement, and maintain a scalable data management architecture to support the storage and querying of these datasets. You will also be responsible for designing, building, and scaling an advanced data analytics platform to deliver data solutions and drive the Sea Machines product roadmap.
Qualifying for this position will require a bachelor’s or master’s degree in computer science, computer engineering, or a similar discipline, and seven or more years of experience processing big data and delivering software products. You will also need an understanding of database design and structure principles, as well as data management fundamentals, data storage principles, and data quality analysis. Sea Machines will expect you to demonstrate the ability to analyze and synthesize complex data and a proficiency in database management systems (like Cassandra), relational databases (like SQL) and big data tools (like Hadoop). A familiarity with cloud computing services, scripting languages and data acquisition hardware, as well as sensor technology like depth cameras, radar, and LiDAR, will also be expected.
As the data analytics lead, you would be required to work closely with product development, software, and system engineering teams to support new products and customer service opportunities. Sea Machines prides itself on offering a collaborative workplace, and being able to easily communicate complex data and concepts to both technical and business audiences will be important.
Sales Application Engineer (Boston, MA): The Sales Application Engineer role is also highly-collaborative. It will require you to work closely with mechanical, electrical, and control systems engineers. In this role, you would be supporting the Sea Machines global sales team by providing product information and functioning as an expert on Sea Machines’ technology and its customer needs.
Part of your responsibilities in this role would be to act as the voice of Sea Machines’ customers, speaking their language, anticipating their needs, and addressing their pain points. To do this successfully, you would need to develop an in-depth understanding of the Sea Machines product ecosystem and its features. You would also be expected to collaborate with multiple teams and be able to plan, develop, prioritize, and document customer proposals, technology demonstrations, development requirements and schedules.
Requirements for this position include a bachelor’s degree in electrical engineering, computer engineering, or a related field. You will also need at least five years of prior experience as a sales engineer, solutions engineer, or a member of the product development team at an advanced technology company, as well as a background in marketing complex hardware/software systems to global B2B customers. Organizational and multitasking skills are critical too, as you’ll be expected to travel about 50% of the time.
Sea Machines is quickly growing. Don’t miss this opportunity to be part of an exciting startup that is, applying practical AI and machine learning tools to improve the safety and efficiency of ships and workboats. If you’re interested in seeing more details on these, and other openings, visit our jobs board and apply here to join the Toyota AI Ventures Talent Network.