Future Tech Jobs
Future Tech Jobs
Lead and grow a team of engineers building observability platforms for large-scale distributed systems, focusing on metrics and tracing infrastructure. Collaborate on architecture design, conduct technical reviews, and drive innovation through open-source tools and cloud-native technologies. Work in a hybrid environment with a focus on reliability, scalability, and DevOps practices.
This role involves delivering high-value, actionable threat intelligence and digital risk monitoring to protect CrowdStrike customers from advanced adversaries. The analyst will conduct dark web research, produce tailored intelligence reports, brief stakeholders across all levels, and guide customers through findings from Falcon Counter Adversary Recon. The position emphasizes customer partnership, technical analysis, and cross-team collaboration to enhance threat detection and response.
As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and LLM applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models. This role involves significant engagement with the developer community, benchmarking performance, and shaping adoption strategies.
As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and generative AI applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models using NVIDIA’s tools and platforms.
The role involves identifying and diagnosing software issues in the Darktrace platform, particularly within the EMAIL product, while acting as a liaison between development and support teams. You'll troubleshoot technical problems, automate systems, and contribute to software stability using scripting and Linux expertise. The position offers opportunities to lead small projects and develop skills in a hybrid working environment.
The role involves deep expertise in a specific reliability domain such as observability, performance engineering, or security-focused SRE, with responsibility for defining standards, building automation, and improving system resilience across a cloud-native platform. The engineer will lead incident response, develop tooling for scalability, and integrate reliability practices across Platform Engineering and DevSecOps. Emphasis is placed on cross-team collaboration, operational excellence, and driving long-term fixes for complex systemic issues.
The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, and engineering teams, manages delivery cadence, and supports external collaborations—enabling scientists to focus on innovation while maintaining strategic coherence. The position is central to scaling research operations in a fast-growing, interdisciplinary environment.
Develops high-fidelity electromagnetic simulations across low- and high-frequency domains, focusing on semiconductor, aerospace, and automotive applications. Builds and validates complex EM models, automates simulation workflows, and collaborates with data science teams to train AI surrogates. Works on-site with customers to solve engineering challenges using advanced simulation and AI-driven tools.
This role involves curating and analyzing high-content imaging datasets such as cell painting and brightfield assays to build generative and predictive models of cellular behaviour. The Senior Data Scientist will work closely with wet lab teams to ensure data quality, evaluate deep learning models, and integrate imaging data with multi-omic readouts. The position emphasizes interdisciplinary collaboration, model interpretability, and translating biological insights into therapeutic strategies.
Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.
The IT Engineer will play a key technical role in scaling ElevenLabs' global IT infrastructure during a period of rapid growth. Responsibilities include managing identity systems, endpoint security, office networks, and compliance, while automating IT processes across a distributed environment. The role works closely with Security and Operations to ensure secure, reliable, and productive systems for a globally remote workforce.
Design and build scalable backend systems for detecting and preventing abuse of free-tier services, focusing on AI-driven moderation and guardrails. Develop production-grade APIs, data pipelines, and observability frameworks while collaborating with ML engineers to deploy models at scale. Own end-to-end technical execution of safety infrastructure across a multimodal AI platform.
This role focuses on designing and operating large-scale AI infrastructure, specifically managing the lifecycle of compute nodes across cloud and on-prem environments. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair systems, ensuring high reliability and efficiency across Anthropic's GPU, TPU, and Trainium fleets. Collaboration with research, inference, and cloud provider teams is central to shaping long-term infrastructure and compute strategy.
This role involves serving as a technical security expert for Anthropic’s enterprise customers in highly regulated industries across EMEA. You will lead security and compliance discussions with CISOs and technical leaders, focusing on GDPR, EU AI Act, DORA, and NIS2 compliance, while guiding the secure deployment of Claude. The position requires deep knowledge of enterprise security architecture, data protection, and regulatory frameworks, with a strong emphasis on pre-sales technical engagement and shaping customer trust in AI systems.
This role involves designing and deploying AI-powered solutions using modern LLMs and automation tools to solve real business challenges across operations, customer service, and marketing. The engineer will build AI workflows, agents, and integrations with SaaS platforms, moving quickly from proof of concept to production. Success is measured by tangible improvements in efficiency and customer experience within a fast-scaling e-commerce environment.
