Evercam’s cameras run on many of the world’s largest and most complex construction projects, in over 30 countries. We’re turning those video streams into intelligence that helps construction teams build faster and safer, from progress tracking to AI agents that spot safety risks on site. We don’t have an open role for every great person we’d like to meet. This talent pool is how we keep in touch with people we’d love to work with when the right role comes up.
Who we’d like to hear from AI and machine learning: computer vision, video analytics, vision-language models, AI agents Product: product managers and product engineers who like owning problems end to end Software engineering: frontend, backend, infrastructure and DevOps Data: data engineering, analytics and data science Business operations and systems: business systems, automation, internal tools and the processes that connect them Hardware and firmware: cameras, embedded systems, connected devices on site What happens when you join Share your CV and a few quick details.
When a role opens that fits your experience, our People team will reach out before we advertise it widely. Joining doesn’t mean you’re applying for a specific job, and there’s no interview process unless a relevant role comes up. How we work We’re global and remote first. We default to async communication and documents over meetings, we prefer a fast first version to waiting for perfect, and we decide based on data and facts, not rank.
How we handle your data: https://jobs.evercam.io/privacy-policy?pagename=Careers
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Evercam provides cloud-based video management and surveillance solutions for security and monitoring applications.