Computer vision that makes the industrial workplace, safer. Backed by Y Combinator.
About the role
You will act as a subject matter expert to own the success of client projects after the system is live, the use case deployments, data integration projects, and new pilot feature rollouts that convert a connected site into a high-value, growing Protex deployment.
What they're looking for
- Experienced in enterprise SaaS delivery integrations, data products, or AI/ML feature rollouts
- Comfortable juggling and owning measurable outcomes and commercial expansion targets, not just activity or milestones
- Able to define and hold to technical success criteria in ambiguous, fast-moving client contexts
- Understands data pipelines, integrations, and configuration interdependencies well enough to scope work, spot risk, and challenge assumptions
- Direct, credible client communicator who manages expectations without overpromising, and knows when to push back
- Commercial instinct reads the account, recognises expansion signals, and knows how to move opportunity forward in partnership with Client Success & Account Management
More about this role
At Protex AI, we are at the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Backed by top-tier global investors, we recently secured a $36 million Series B to accelerate our mission.
Industry leaders like DHL, Amazon, and Tesla trust Protex AI to drive measurable safety improvements, achieving an average 64% risk reduction within just three months of deployment. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights.
We are looking for a Solutions Engineer with an engineering background to own the successful delivery and implementation of Protex AI, data integration, and feature projects with some of the biggest companies in the world, ensuring every engagement lands on defined technical success criteria and creates the conditions for deeper deployment across the site.
You will act as a subject matter expert to own the success of client projects after the system is live, the use case deployments, data integration projects, and new pilot...
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