At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
About Zyte
Zyte is a leader in web data extraction. Our full-stack Zyte API and world-class data services help thousands of companies, from individual developers to global enterprises, turn the web into reliable, structured data. We're a remote-first, globally distributed team that ships fast and lets results speak.
This is a transformative moment for web data, and AI is reshaping both sides of the market. The world needs web data more than ever: to train models, power agents and feed AI applications, so the audience for web data is exploding - creating new personas and new buying journeys almost overnight. At the same time AI is changing how that data is collected - from manual work by engineers to automation with AI.
Zyte is unique in solving both challenges of web data - the software needed for reliable access to websites and the AI and skills needed to turn web content into structured data. We have an important mission in the AI revolution.
The role
We're hiring a Senior Growth Product Manager to lead our self-serve acquisition and growth journeys across the channels used by personas hungry for web data. Our users are engineers, data teams and the builders of AI agents, and your job is to understand what they seek, what they try first and what convinces them to stay.
We're looking for a MidLevel AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You'll turn business problems into reliable multi-step agent workflows that use LLMs, tools and enterprise data. You'll own solutions from architecture and prototyping through deployment, evaluation and monitoring, and you'll set engineering standards for how we build with AI.
We're looking for a Senior AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You'll turn business problems into reliable multi-step agent workflows that use LLMs, tools and enterprise data. You'll own solutions from architecture and prototyping through deployment, evaluation and monitoring, and you'll set engineering standards for how we build with AI.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview:
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.
Requirements
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview:
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.
Requirements
Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.
This is not an audit seat. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.
At Azumo, ownership is split by what gets built: the pipelines, the method behind a decision, the product, and what an AI system does once it's live. Security doesn't work that way. It has to be right across all of them, and that's what this role owns.
Gap or breach, it's yours. If there's a gap, you find it and close it before anyone outside the team does. If there's a breach, you run it: containment, root cause, and the fix that keeps it from happening twice.
Whoever builds the system answers for whether it works. You answer for whether it's safe to run. That split is agreed before the work starts, not reported after.
