The Group Financial Controller will own and scale group accounting, consolidation, reporting, and internal controls across multiple international entities. They will drive the adoption of AI-native accounting workflows and optimize the NetSuite ERP to support a high-growth deep-tech organization.
You will operate and scale a distributed infrastructure platform, managing everything from bare-metal GPU nodes and Kubernetes clusters to networking and observability. The role involves automating infrastructure provisioning, leading incident response, and maintaining high reliability across multi-site environments.
You will own the full technical chain for data collection, including firmware development for wearable sensors and cloud infrastructure management. You will collaborate with hardware, ML, and data teams to deploy, monitor, and maintain data collection systems in real-world environments.
You will own the end-to-end technical chain for data collection, including firmware development for wearable sensors and cloud infrastructure management. You will collaborate with hardware, ML, and data teams to build scalable pipelines for processing multimodal robot training data.
You will own the full technical chain for data collection, including firmware development for wearable sensors and cloud infrastructure management. You will collaborate with hardware, ML, and data teams to deploy, monitor, and maintain data collection systems in the field.
Monitor, triage, and investigate security alerts across SIEM, EDR, and cloud platforms to identify and respond to cyber threats. Coordinate with incident response teams to manage threats, perform remediation, and maintain SOC documentation.
The Security Operations Analyst will monitor, triage, and investigate security alerts across various platforms to identify and respond to cyber threats. They will also collaborate with incident response teams to manage security events and contribute to the continuous improvement of SOC procedures and detection quality.
You will develop, implement, and optimize security monitoring and detection capabilities while managing SIEM platforms across multiple environments. Additionally, you will collaborate with threat intelligence and incident response teams to translate emerging threats into actionable security content.
Design and develop high-performance Android applications using Kotlin while architecting scalable solutions for a decentralized cloud platform. Collaborate with cross-functional teams to ensure seamless integration, security, and optimal performance across the mobile lifecycle.
You will own the documentation ecosystem for an AI security platform, creating guides for APIs, deployments, and integrations. You will collaborate closely with engineers and product managers to ensure technical accuracy while leveraging AI tools to maintain documentation at scale.
You will design, train, and deploy threat detection models to secure AI agents and LLM-powered applications against security risks. This involves managing the end-to-end model lifecycle, including data preparation, production serving in Go, and performance optimization.
Design and build Go-based agents and backend services for endpoint visibility and security enforcement across Windows, macOS, and Linux. Manage fleet configuration, policy distribution, telemetry ingestion, and health monitoring while optimizing for low resource usage and reliability.
Build and maintain data-intensive web interfaces for security dashboards, agent inventories, and policy management using React and TypeScript. Collaborate with backend engineers to integrate REST and gRPC-web APIs while ensuring high performance and accessibility.
Own the product roadmap, requirements, and prioritization for AI security platform areas from discovery through launch. Lead customer discovery with security teams and partner with engineering to translate needs into technical PRDs.
Design, build, and operate high-performance Go services for an AI security platform while managing APIs, data models, and event-driven pipelines. Collaborate with cross-functional teams to ensure service reliability, observability, and security enforcement across cloud environments.
Design and build LLM-powered analysis and classification pipelines, productionizing them as Go services. Collaborate with security researchers to translate attack patterns and risk signals into actionable detection logic.
The Business & Operations Founder will lead the launch and day-to-day operations of the company in Japan, building local presence and partnerships from the ground up. They will act as the primary point person for the global leadership team to adapt the business model to the Japanese healthcare and regulatory environment.
The Japan Country Launcher will own the company's market entry, building local operations and partnerships from the ground up. They will act as the primary point of contact for local stakeholders while driving commercial growth and adapting the business model for the Japanese market.
The Fractional GM will lead the launch and daily operations of the company in Japan, building local presence and partnerships from the ground up. They will act as the primary point person for market development while collaborating with the global leadership team to adapt business strategies.
The Chief Marketing Officer will define and execute the global marketing and go-to-market strategy to drive growth for the AI-native cloud infrastructure startup. This role involves building demand-generation programs, managing brand positioning, and leading the marketing function to support revenue goals.
The role involves operating and maintaining Linux-based infrastructure and scaling Kubernetes clusters across various environments. You will also lead incident response activities, define SLOs/SLIs, and develop automated deployment workflows.
The role involves operating and maintaining Linux-based infrastructure and managing Kubernetes clusters across various environments. You will also lead incident response activities, define SLOs/SLIs, and collaborate with cross-functional teams to optimize system availability.
The Finance Business Partner will build financial simulation models to support growth strategy and provide financial analysis for commercial, operations, and product teams. They will also present ROI and TCO analysis directly to clients and manage monthly financial reporting and profitability tracking.
You will build and manage relationships with venture capital firms to establish Pragmatike as a trusted talent partner for their portfolio companies. This involves creating a new growth channel from scratch, identifying target funds, and driving revenue through strategic partnerships.
You will design and implement recruiting systems, processes, and standards from scratch to build exceptional tech teams. You will act as a strategic partner to founders while managing the full-cycle recruitment process across engineering and go-to-market functions.
Define and execute product strategy across multiple initiatives while leading cross-functional teams through the full product lifecycle. Partner with executive leadership to establish product standards, metrics, and a long-term vision for the organization.
The Lead Member of Technical Staff will define technical strategy and lead multi-team architecture initiatives across the organization. They are responsible for establishing engineering standards, mentoring senior talent, and driving execution on high-impact, complex technical projects.
Lead product engineering strategy for 0→1 initiatives and establish technical foundations for new product lines. Collaborate with executive, product, and engineering teams to define architectures and mentor senior engineers.
The Forward Deployed Engineer will work directly with customers to solve complex technical problems and translate real-world requirements into production systems. They will own projects from discovery through deployment while partnering with internal teams to improve platform capabilities.
Lead 0-1 product initiatives from discovery through scale while establishing technical strategy for production AI systems. Partner directly with customers and product leadership to design full-stack architectures and influence engineering priorities.
Lead the architecture and implementation of critical platform capabilities while owning complex technical initiatives from conception through production. Collaborate across product, engineering, and infrastructure teams to solve performance bottlenecks and mentor other engineers.
The Staff AI Engineer will lead the architecture and deployment of production-scale AI systems, including model serving, inference, and optimization pipelines. They will also mentor AI engineers and collaborate with leadership to define AI strategy and engineering standards.
The Principal Product Manager will define long-term product vision and strategy while leading cross-functional initiatives across engineering, design, and sales. They are responsible for owning complex product portfolios and establishing product management standards across the organization.
The Principal Forward Deployed Engineer will lead complex customer deployments and customize production solutions within client environments. They will act as a technical advisor while bridging the gap between customer feedback and internal product engineering teams.
The Principal Founding Product Engineer will define technical and product direction for new initiatives while leading complex products from concept to scale. They will architect systems, establish engineering patterns, and collaborate directly with founders and customers to influence company-level strategy.
Define the architecture and technical strategy for highly scalable AI systems while leading complex model serving and inference initiatives. Establish technical standards across AI engineering and mentor senior staff to influence product and infrastructure strategy.
The Staff Product Manager will define product strategy and multi-quarter roadmaps while leading cross-functional initiatives across the organization. They are responsible for owning complex product areas, conducting market analysis, and partnering with engineering and design leadership to drive product success.
Lead complex technical deployments and solve high-impact customer problems by bridging the gap between product, engineering, and infrastructure. Develop, customize, and maintain production solutions while acting as a trusted technical advisor to enterprise customers.
Design, build, and operate production software systems while owning significant technical projects from architecture through deployment. Collaborate with product and engineering teams to solve complex performance, reliability, and scalability challenges.
Lead 0-1 product initiatives from discovery through scale while partnering with customers and product leadership. Design full-stack product architectures and establish technical foundations for new products.
The HR Generalist will act as the primary partner for employees and managers across the APAC region, managing the full employee lifecycle. Responsibilities include ensuring local labor law compliance, coordinating recruitment, managing HRIS data, and supporting performance review cycles.
Lead and mentor a high-performing team of engineers while driving the architectural direction of the AI product. Balance hands-on technical contributions with strategic leadership to ensure reliable, cost-efficient AI systems at scale.
Lead, mentor, and grow a high-performing team of engineers while driving the architectural direction for AI product development. Contribute hands-on to the design, implementation, and optimization of core AI systems including model serving, inference pipelines, and GPU capacity management.
You will build the outbound sales engine from scratch by identifying and engaging startup founders and hiring leaders. This role involves defining sales strategies, managing your own pipeline, and collaborating directly with company founders.
Build the outbound sales engine from scratch by defining strategy, messaging, and prospecting workflows. Identify and engage startup founders and CTOs across Europe and North America to accelerate their hiring.
Design and operate production-grade model serving infrastructure and deployment pipelines for real-time AI applications. Optimize GPU utilization and implement observability systems to ensure high availability and low latency.
Lead and mentor a team of approximately 8 engineers while remaining hands-on with production code for about 50% of the time. Drive the architectural direction and delivery of a scalable, reliable core compute platform.
Lead and mentor a team of approximately 8 engineers while remaining hands-on with production code for about 50% of the time. Drive the architectural direction and delivery of a scalable, reliable core compute platform.
Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs to maximize performance and throughput. Collaborate with AI systems and distributed teams to improve GPU efficiency and scalability for mission-critical AI applications.
You will design and operate production-grade model serving infrastructure to support scalable, low-latency AI applications. This role involves managing the full lifecycle of ML systems, including deployment pipelines, GPU optimization, and system observability.
You will design and operate scalable, production-grade model serving infrastructure for AI applications. This includes managing deployment pipelines, optimizing GPU utilization, and ensuring high availability for real-time inference systems.
You will build, deploy, and operate production infrastructure across AWS, GCP, and Azure to support large-scale AI systems. This includes managing Kubernetes clusters, cloud networking, and optimizing performance and reliability for distributed workloads.
