About Signal Ocean

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that supports our clients in improving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities our solutions leverage or can be directly embedded in our client’s system topologies.

About the role

Shipping remains one of the world’s most complex and under-digitized sectors - a space where data and digitisation can make a profound difference. In an era defined by global disruptions, from sanctions to supply chain challenges, innovation in this field directly shapes how the world moves goods and commodities. At Signal, we look for people eager to explore this vast, often overlooked domain, and to help build technologies that bring clarity, efficiency, and intelligence to maritime commerce and global trade.

Domain Mastery via Rotation

We don't believe in keeping designers in silos. To design for shipping, you need to understand the whole lifecycle.

Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Software Engineer, AI (0→1 Product Focus)

Full-time | Hybrid

Location: San Francisco Bay Area

We are a high-growth, well-funded technology company pioneering the Composable Customer Data Platform (CDP) and AI Decisioning space. We empower every business user to leverage data and AI for marketing personalization and business operations. We are looking for a product-minded Software Engineer to explore new 0→1 opportunities in AI and define the future of AI-powered marketing.

This is a unique, high-impact role focused on prototyping and shipping entirely new product ideas. You will blend backend engineering, data analysis, and applied AI to create infrastructure and features that generate insights and content from vast customer datasets.

What you'll work on:

Software Engineer (Backend/Fullstack)

Full-time | On-site

Location: San Francisco, CA

We are building a generative AI and Low-code customer support automation platform dedicated to bringing effortless customer and agent experiences to every company. We are seeking a Mid-level Software Engineer to take the lead in designing and scaling the core distributed systems that power our next-generation AI agents.

This is a hands-on, high-impact role for a fast-moving engineer who will drive architectural decisions and technical direction, working directly with the company founders. You will own the full feature lifecycle, from initial concept to high-scale production deployment.

What You'll Do:

Engineering Manager

Full-time | On-site

Location: New York City or San Francisco

We are a rapidly growing AI platform leveraging real-time data ingestion, comprehension, and summarization across text, audio, and video to provide actionable insights for communications. We are seeking a dynamic Engineering Manager to build, lead, and scale our core engineering team as we accelerate growth and serve enterprise-grade customers.

The Engineering Manager will be responsible for both technical strategy and people leadership, ensuring the team operates with urgency, rigor, and a focus on long-term scalability. This role requires a balance of hands-on technical work, mentorship, and cross-functional product collaboration.

What You Will Do:

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Founding Software Engineer - AI Evaluation & Data Infrastructure

Location: San Francisco

compensation: $150K - $240K

We are building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows, helping push the frontier of LLMs and AI Agents. We work with all 5 of the leading AI labs and are experiencing sharp hockey stick growth. We are seeking a Founding Software Engineer with end-to-end ownership to build the systems that power data and evaluation for the next generation of AI.

This is a dynamic, high-impact role that offers immense breadth of ownership over projects that push the frontier of AI evaluation. You will move fluidly across the entire stack, from research prototyping to distributed cloud infrastructure and user-facing analytics. You must be comfortable with constant context switching and relentless shipping in a talent-dense environment.

What You’ll Do:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

Engineering Manager (Player-Coach) - AI & Real-Time Data Platform

Location: On site - San Francisco or New York

We are an ambitious, high-growth AI and Media startup, redefining how organizations comprehend, summarize, and act on insights from real-time traditional and social media data (text, audio, and video). We are seeking a hands-on Engineering Manager to build, lead, and scale our engineering team, driving technical excellence and a high-velocity culture as we rapidly expand our enterprise-grade platform.

This is a critical player-coach role where you will blend technical leadership with hands-on contribution. You will set the technical direction for our stack, scale our infrastructure for enterprise customers, and build a high-performing team. Success requires a constant balance between shipping with urgency to meet customer demands and making sound architectural decisions to ensure long-term scalability and reliability.

What You Will Do: