AI Solutions Engineer, Verity

Client Engagement

Salary not provided

+ Variable bonus program

SQL

AWS

GCP

Python

Tableau

Looker

Kafka

Tensorflow

Power BI

Azure

Spark

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

Remote from US

Autonomous inventory tracking powered by self-flying drones

Be an early applicant

Autonomous inventory tracking powered by self-flying drones

101-200 employees

B2BLogisticsRoboticsDronesEvents

Be an early applicant

Salary not provided

+ Variable bonus program

SQL

AWS

GCP

Python

Tableau

Looker

Kafka

Tensorflow

Power BI

Azure

Spark

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

Remote from US

101-200 employees

B2BLogisticsRoboticsDronesEvents

Company mission

To transform industries with reliable, autonomous intelligence.

Job

Company

Role

Who you are

Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field
3–6+ years’ experience as a Data Engineer, ML Engineer, or similar role
Strong Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy)
Proficiency in SQL and experience with relational & NoSQL databases
Cloud experience (AWS, Azure, or GCP)
Dashboard design with Tableau, Power BI, or Looker
Excellent client communication skills with ability to simplify technical detail

Desirable

Background in warehouse automation, logistics, or supply chain data
Experience with big data frameworks (Spark, Kafka) and MLOps practices
Professional services or client success experience

What the job involves

We are seeking a Client Success AI/Data Engineer to bridge the gap between advanced AI/data engineering and measurable client outcomes
This role blends technical expertise in AI/ML, data pipelines, and visualization with client-facing responsibilities
You will partner with clients, solution architects, and internal teams to design, implement, and operationalize AI-driven solutions that deliver sustained business value
Engage client stakeholders to define business goals, KPIs, and data needs
Translate requirements into data pipelines, AI/ML solutions, and actionable insights
Build client-ready dashboards and reporting tools
Advise on AI, data governance, and automation best practices
Lead enablement sessions to drive adoption of AI-powered workflows
Design and maintain pipelines for structured/unstructured data
Develop, train, and deploy AI/ML models (NLP, computer vision, predictive modeling, anomaly detection, etc.)
Operationalize models with MLOps best practices
Integrate solutions with client ERP/WMS and digital systems
Deliver intuitive dashboards (Tableau, Power BI, Looker) for client self-service
Present technical outcomes as clear business value to executives
Represent the client internally, surfacing feedback to product/engineering
Explore new AI/ML applications relevant to client industries
Enhance predictive insights, recommendations, and AI coaching

Our take

While supply chain automation has been a major focus for investment in recent years, inventory management has been left behind, with the work of checking stock levels usually carried out manually. Verity aims to change this with a fleet of autonomous indoor drones that can be deployed to automatically check an entire warehouse's inventory, completely removing the need for expensive and error-prone manual processes.

As the only commerically viable product in this space, Verity currently faces very little competition. And it now works with major players like Ingka, DSV, and Performance Team (a Maersk Company. Their drones bring error rates down to zero within a year, reducing carbon emissions, and deliver quick ROI for clients.

Beyond warehouses, Verity also powers cutting-edge visual effects for live shows, helping artists like Céline Dion, Justin Bieber, Metallica, and Cirque du Soleil light up stages worldwide. With this strong commercial traction across industries, Verity is very well-positioned to scale even further and lead the future in autonomous inventory and event tech.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

30% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (1 round)

Jul 2023

$11m

SERIES B

Total funding: $11m

Company benefits

Flexible vacation policy
Vibrant and fun work culture
Flexibility for your lifestyle
Dog-friendly office, snacks and coffee
Support for professional development
Stock ownership plan
Relocation support

Company HQ

Seebach, Zürich, ZH

Leadership

Raffaello D'Andrea

(Founder & CEO)

Raffaello has been a Professor of Dynamic Systems & Control at ETH Zürich since 2008. They also previously co-founded ROBO Global where they served as an Advisor for 11 years.

Markus Hehn

(Co-Founder & CTO)

Prior to co-founding Verity, Markus was a Doctoral Candidate at ETH Zürich, researching control algorithms for aerial vehicles. Before that, they were a Hybrid Systems Project Student at Bosch and an Engineering Intern with Mercedes-Benz.

Markus Waibel

(Co-Founder & COO)

Previously a President of DIAS, Switzerland, and the co-founder of Robohub and The ROBOTS Association.

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