Deepomatic has been founded by Augustin Marty, Vincent Delaitre, and Aloïs Brunel, with the mission to assist in the deployment of critical infrastructures necessary for digital and energy transitions through image recognition technology.
We develop software that, using AI and image recognition, automatically analyzes photos taken in the field by technicians and provides them with real-time feedback on the quality of their work, detecting possible defects and allowing them to fix issues before leaving. This enables projects to be completed right the first time, avoiding the need for a return visit, saving unnecessary travel and carbon consumption, accelerating infrastructure deployment, and improving the customer experience.
Deepomatic today serves prestigious clients worldwide, particularly in the telecommunications sector. Companies like Telefonica, Vodafone, SFR, and Bouygues Telecom use Deepomatic daily, and more than 30,000 technicians use our platform every day in Europe/UK, the US, and Latin America. If you want to be part of a company that puts quality at the heart of infrastructures, it’s time to apply!
As a Lead Product Manager, you will report directly to our Chief Product Officer and co-founder. In this role, you will be responsible for co-creating the product vision, building and maintaining a roadmap that aligns with the company’s roadmap and market context. You will oversee the implementation and improvement of discovery processes, solution development, and delivery within your scope, as well as the coaching and management of Product Managers / Product Owners.
Within 1 month you will have:
Learned everything there is to know about the business, how our products work, what is the strategy and the vision that drives its development
Dived into existing customer use-cases and how our products are leveraged to solve their problems
Participated in squad meetings to familiarize with our product & tech organization
Participated in user, customer and partner meetings
Within 3 months, you will have:
Created relationships with customers, users and partners
Earned the trust of your squad teammates and other relevant stakeholders
Participated to an entire product cycle (from Discovery to Delivery)
Brainstorm on longer term orientation of the product strategy to meet our objectives
Within 6 months your will :
Be the go-to person when it comes to deep product knowledge
Inspire and motivate the members of your team to do their best work
Have a deep understanding of the Deepomatic strategy and vision and already impact
Improve the existing Product process to maximize quality and efficiency
Help refine roles and responsibilities to ensure efficient decision-making, careful analysis of trade-offs, and a responsible balance of strategic business objectives, unique customer needs, operational necessities, and product quality
Be in charge of fostering software partnerships through integrations and joint product marketing content
You have at least 6 years of experience.
You have previous experience as a Product Manager or Head of Product in a company offering a SaaS solution, preferably for Enterprise customers.
You have excellent product and tech expertise and have worked in a scale-up environment.
You have experience coaching or managing other Product team members.
You have an interest in AI and deep learning topics.
You have strong synthesis and communication skills, both written and spoken.
You are known for your strong and positive interpersonal skills.
You are proficient in both French and English at a professional level.
If you don’t meet 100% of the criteria above, you can still apply and explain why you believe you’re the right person for the role!
⭐️ At Deepomatic, we deeply believe that diversity and inclusion drive innovation and we value differences. That is why we are committed to build a team with a variety of nationalities, backgrounds, skills, views, and abilities. We are building a work environment in which everyone can bring their authentic selves with confidence.
Discussion with future manager
On-site interviews (case studies, culture fit)
Last interview with a founder
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