Job Description

About Us:

Supply chains run the world. We make them run themselves. At Sensos, we turn real-world data into a trusted foundation that enables companies to transform their supply chains into autonomous execution services, acting before problems arise, at scale. We're a fast-moving global team at the intersection of data, agentic AI, autonomous execution, and global supply chains.

If you want to work on technology that's fundamentally changing how global supply chains (and the world!) operate, let's talk!

The Role:

We're looking for a Head of AI to own everything AI and ML at Sensos - from the agentic systems that power autonomous supply chain execution to the data science and modeling that turn our real-world data into an unfair advantage.

This is a founding leadership role. You'll be 100% hands-on from day one - researching, prototyping, and shipping models and AI capabilities directly into the platform - and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.

We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.

What You'll Do:

· Own AI/ML end-to-end at Sensos - strategy and execution - as the accountable leader, not a coordinator

· Build LLM/SLM-powered agentic capabilities that drive autonomous supply chain execution

· Design, train, and ship ML/DS models on our IoT and supply chain data: ETA and delay prediction, anomaly and excursion detection, risk and integrity scoring, and beyond

· Research our proprietary data to uncover signal and define entirely new intelligent product capabilities

· Take work all the way from prototype to production - you own it end-to-end

· Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap

· Establish the foundations: evaluation, experimentation, MLOps, and responsible AI practices

· Build, hire, and lead the data function (DS, ML, and analytics) as we scale

What You Bring:

· 5+ years in data science / machine learning (required)

· 2+ years hands-on with LLMs/SLMs in applied or production settings (required)

· A proven track record of shipping ML/AI from research through to production, not just notebooks and POCs

· Strong engineering fundamentals - fluent in Python, comfortable owning systems end-to-end

· Fluency working with large, noisy, real-world data

· A self-starter who thrives with ambiguity and moves fast in a startup environment

· A player-coach mindset: happy to go deep hands-on today and grow a team tomorrow

Preferred / Nice to Have:

· BSc and MSc (or PhD) in Computer Science, ML, Statistics, EE, Mathematics, or a related quantitative field

· Experience building agentic / multi-agent systems (orchestration frameworks, tool-using agents)

· Experience with time-series or sensor / IoT data

· Domain experience in supply chain, logistics, or hardware-adjacent software