The world of field operations is under pressure: on one side, companies have to deploy new infrastructures quickly (such as fiber optics, 5G, smart meters, electric vehicles charging points, etc.). On the other side, these field operation companies lack field workers to actually work on these infrastructures.
This has led to a quality crisis, as new generation networks are being rolled-out in a hurry, delivering poor quality at every corner.
At Deepomatic, we believe that companies that will succeed in the long term are the ones that are able to industrialize quality and scale fast, despite limited resources.
We offer a pioneering platform in the domain of First Time Right Automation, to help field operations companies maximize the chances of success of their operations from the start by automating their quality control process.
Our start-up has met successes globally with customers such as Bouygues telecom in France, Swisscom in Switzerland, CityFibre in the UK, Telefonica in Colombia, Unit-T in Belgium, Circet in Ireland and many more.
https://www.youtube.com/watch?v=BIH27jwysAs&t=6s
The world of field operations is under pressure: on one side, companies have to deploy new infrastructures quickly (such as fiber optics, 5G, smart meters, electric vehicles charging points, etc.). On the other side, these field operation companies lack field workers to actually work on these infrastructures.
This has led to a quality crisis, as new generation networks are being rolled-out in a hurry, delivering poor quality at every corner.
At Deepomatic, we believe that companies that will succeed in the long term are the ones that are able to industrialize quality and scale fast, despite limited resources.
We offer a pioneering platform in the domain of First Time Right Automation, to help field operations companies maximize the chances of success of their operations from the start by automating their quality control process.
Our start-up has met successes globally with customers such as Bouygues telecom in France, Swisscom in Switzerland, CityFibre in the UK, Telefonica in Colombia, Unit-T in Belgium, Circet in Ireland and many more.
https://www.youtube.com/watch?v=BIH27jwysAs&t=6s
Product: Visual AI / computer-vision SaaS (Deepomatic Lens) for field operations quality control
Headquarters: Paris
Customers: Telecoms and utilities (examples: Swisscom, CityFibre, Bouygues Telecom)
Recent funding: €10M Series B (Nov 2022)
Company Overview
Problem Domain
Field operations quality control and asset inventory for telecoms, utilities, energy and infrastructure deployments.
Industry
Software Development
Funding Track Record
Seed / early- 2015-09-14
€1.2M
Series A (or 2019 round)- 2019-02-07
$6.2M
Reported as $5.1M equity + $1.1M debt
Series B- 2022-11-28
€10M
Strategic investment- 2021-05-06
€2.3M
Described as investment to accelerate European development
Investor Signal
“Investors include Alven, Hi Inov / Dentressangle, Swisscom Ventures, Octave Klaba, EnBW New Ventures and Orbia Ventures”
Founders
What we do
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Join the Team
Software Engineer
On-SiteParis, FR
On-Site • Paris, FR
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Contract • Rotterdam, NL
Data Scientist
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Frontend Developer
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Internship • San Francisco, US
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Internship • Haifa
DevOps Engineer
Part-timeBelgrade, RS
Part-time • Belgrade, RS
Software Engineer
Full-timeRotterdam, NL
Full-time • Rotterdam, NL
Fluent written and spoken English
Great human qualities and a love for teamwork
Excellent analytical and problem-solving skills
Excellent oral and written communication skills, able to present technical concepts to non technical profiles and customers
5+ years of proficiency in development
3+ years of professional experience with web frameworks for building both the front-end and back-end and a keen interest to source and learn new frameworks
Professional experience with Python
Professional experience with JavaScript/Typescript
Professional experience with SQL and RDBMS technology (PostgreSQL, SQLite, or similar)
Experience with distributed systems and Docker
Experience with Linux system and bash scripting
Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
Proven ability to work independently and collaboratively in a remotely-hybrid team environment
Desirable
Ideally, you’ll have some of the following:
Professional written and spoken French
Experience with deep learning and/or computer vision
Experience with monitoring and logging tools (e.g., Datadog, Prometeus, Grafana, OpenTelemetry)
Experience working in cloud infrastructure (AWS, GCP, or Azure) and Kubernetes
Experience with an infrastructure management tool like Terraform, CloudFormation, KubeCtl, ArgoCD, Rancher, or Helm
Experience with Enterprise Integration especially web services
Experience working in an agile software engineering environment
Master’s degree from an accredited university in Computer Science, Engineering, or a related field; or equivalent industry experience
What the job involves
We are looking for a versatile Full Stack Engineer with strong DevOps skills to take our AI-powered pole survey platform from prototype to production
You will own the end-to-end lifecycle — designing, building, deploying, testing and maintaining a scalable infrastructure capable of 50k+ daily image analyses —while making critical technical and architectural choices
This role is highly cross-functional and cross-technological; you will collaborate with different teams to integrate the software within the IQGeo product ecosystem and external systems (e.g., Google Maps)
You will be a key technical point of contact for our customers, working directly with them to translate their operational needs into custom, production-ready features or integrations
Benefits
100% health insurance coverage (Alan).
Bicycle expenses covered up to €700 / year (or 75% of the Navigo pass)
