Offer summary

Qualifications:

Technical expertise in AI and computer vision technologies., Strong problem-solving and communication skills., Experience in sales support or technical sales roles, preferably in telecommunications., Familiarity with field service management systems and integration architecture..

Key responsabilities:

Provide technical support to the sales team and understand customer needs.

Lead product demonstrations and manage proof-of-concept implementations.

Design integration architecture for seamless interoperability with customer systems.

Engage with customers and partners to refine offerings and expand market reach.

Job description

Deepomatic is a computer vision AI-first company based in Paris (France) with customers in Europe and Americas. Our software helps companies operate critical infrastructures, enabling them to enforce quality standards at scale, accelerate their workflows, and automate processes. Using deep learning, we deliver state-of-the-art solutions, particularly in the Telecom and Utilities industries.

By analyzing photos taken by field workers and providing them instant feedback on the conformity of their job, solutions deployed by our customers automate quality control and ensure accurate, complete field reporting.

Recognized by Gartner as a “Coolest Cool Vendor” and by Forrester twice as a “Strong Performer,” our platform is trusted by 25+ major companies. Nearly 30,000 field workers employed by companies such as Swisscom, CityFibre, Vodafone, Circet, and Unit-T use Deepomatic's solution daily. Our platform analyzes close to 1 million field operations every month.

With 50+ passionate team members, a vibrant culture, and exciting growth opportunities, we aim to expand our presence in the DACH region, building on a strong existing customer base.

If you’re ready to shape the future of field operations and make a global impact, join us on this incredible journey.

Job Summary

As a Sales Engineer at Deepomatic, you’ll be the technical expert supporting the sales team in showcasing how our AI-powered computer vision platform transforms field services operations, particularly in the telecommunications sector.

You'll work closely with prospects to understand their challenges, demonstrate the value of our product, and guide them through technical evaluations and solution design.

This role involves technical expertise, problem-solving and communication skills as well as collaboration with internal teams to deliver tailored solutions and drive customer success.

If you enjoy working at the intersection of AI, automation, and field service innovation, this is your chance to make a real impact!

Key Responsibilities

Technical Sales Support – Partner with the sales team to understand customer needs, present Deepomatic’s solutions, and provide technical guidance throughout the sales cycle.
Product Demonstrations & POCs – Lead product demos and manage proof-of-concept (PoC) implementations to showcase the value of our computer vision platform.
Solution & Integration Architecture Design – Define and design how Deepomatic integrates with customers' IT stack, ensuring seamless interoperability with field service management systems, workflow automation tools, and enterprise applications.
Customer Engagement – Act as a trusted advisor, addressing technical concerns, gathering feedback, and collaborating with internal teams to refine offerings.
Partner Collaboration – Work with Deepomatic’s partners, including IQGeo, Prodapt, Sitetracker, and many more, to align on joint value propositions, explore integration opportunities, and expand market reach through strategic partnerships.
Industry Expertise – Stay up to date with field service and computer vision trends to align our solutions with market needs.
Collaboration with Product & Engineering – Relay customer insights to the product and engineering teams to improve Deepomatic’s offerings and ensure continuous innovation.
Support RFPs & Technical Proposals – Assist in crafting detailed technical proposals, responding to RFPs, and ensuring alignment with customer requirements.