International Recruiting LLC

Role Description The Channel GTM Lead will be responsible for leading the development and execution of strategies to enhance our partners' capabilities and drive market momentum for our AI solutions. This role requires an experienced leader with a deep understanding of the AI landscape, strong strategic vision, and exceptional relationship-building skills. You will collaborate with cross-functional teams to support our partners and customers at every stage of their AI journey. - Develop and implement comprehensive partner enablement programs to ensure partners are equipped to sell, deploy, and support AI solutions. - Drive the growth and success of our AI practice by identifying new opportunities, developing go-to-market strategies, and executing on key initiatives. - Collaborate with internal teams, including sales, marketing, product development, and customer success, to drive partner success. - Stay informed about industry trends, competitive landscape, and emerging technologies to ensure our AI practice remains at the cutting edge. Qualifications - Bachelor’s degree in business or relevant field - 10 to 15 years of experience in related field - Proven experience in channel development, partner management, or a similar role within the technology industry. - Extensive experience in a senior role with a track record of driving successful go-to-market strategies. - Deep understanding of the AI landscape, including key technologies, market trends, and competitive dynamics. - Strong strategic thinking and problem-solving skills, with the ability to develop and execute effective go-to-market strategies. - Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with partners and internal teams. - Demonstrated ability to work in a fast-paced, dynamic environment, managing multiple priorities and deadlines.

Role Description We are hiring an Account Manager to support and grow one of the key enterprise clients (UPS). This is a client-facing, growth-oriented role where you will: - Manage day-to-day client relationships - Drive upsell opportunities - Support delivery and expansion of AI solutions This role is best suited for someone who can act as a bridge between client and internal teams, while helping grow the account over time. Qualifications - Experience in account management / client-facing roles / consulting / sales - Experience working with enterprise clients - Experience with cross-functional stakeholders - AI / Technology Background (Required) - Exposure to AI, data, or technical solutions - Ability to understand and communicate AI-driven use cases - Nice to Have: - Experience with UPS or similar logistics clients - Background in supply chain / enterprise SaaS - Strong communication and stakeholder management skills Benefits - Competitive base salary + bonus (based on experience) Company Description We are International Recruiting LLC, an executive search firm specializing in placing top talent across AI, technology, and enterprise solutions. Our client is a global leader in applied AI and GenAI solutions. - Centific provides: - High-quality data for AI model training - Fine-tuned large language models (LLMs) - RAG pipelines and AI deployment solutions - With: - 150+ PhDs and data scientists - 4,000+ AI practitioners - 1.8M domain experts across 230+ markets

Role Description We are seeking a strategic and highly technical Product Manager, Customer Engineering to serve as the critical bridge between our OEM customers, product definition teams, and engineering execution. In this pivotal role, you will connect customer needs, product vision, and technical execution to translate ambiguous customer intent into concrete product reality and production readiness. You will be the primary technical interface for our automotive clients, ensuring that our solutions in glass, optics, and exterior systems not only meet but exceed their stringent requirements. By combining strong business acumen with deep engineering knowledge, you will drive early engagement, shape product architecture, and guide cross-functional teams from initial concept through to Start of Production (SOP). Key Responsibilities - Customer Engagement & Opportunity Development: - Build and nurture strong, trust-based relationships with OEM Engineering, Purchasing, and Design Studio teams. - Identify key decision-makers and drive early technical engagement to position our company as a preferred partner. - Understand customer pain points and future vehicle architectures, converting these insights into formal RFQs and securing design win opportunities. - Product Definition & Technical Interface: - Lead comprehensive product definition, encompassing optical performance, mechanical integration, and overall system architecture. - Drive complex technical discussions with customers, acting as the definitive voice of the product. - Translate ambiguous or high-level customer inputs into clear, actionable engineering requirements for internal development teams. - New Product Introduction (NPI) & Program Execution: - Take ownership of the product lifecycle from concept through execution. - Manage prototype builds, track development milestones, and ensure on-time delivery of critical project phases. - Coordinate and lead cross-functional teams—spanning R&D, manufacturing, quality, and sales—to ensure alignment and mitigate risks throughout the development process. - Supply Chain & Industrialization: - Support the sourcing of critical materials and components required for your product lines. - Partner closely with factory teams to validate feasibility from the initial concept phase through to SOP, ensuring quality and cost targets are met. - Strategic & Competitive Intelligence: - Monitor the automotive landscape to identify emerging trends in exterior systems, optics, and EV architectures. - Analyze competitor offerings and market shifts to inform our long-term product roadmap, ensuring our solutions remain innovative and highly competitive in the North American market. Qualifications - Education: Bachelor’s degree in Design Engineering, Mechanical Engineering, Electrical Engineering, or a related technical field. - Experience: Minimum of 5-7 years of experience in product management, customer engineering, or technical program management within the automotive industry. - Extensive experience working with Automotive OEMs, Tier 1 suppliers, or EV manufacturers. - Demonstrated expertise with automotive glass, optics, lighting, or exterior systems is highly preferred. - Proven track record of collaborating with OEM Design Studio teams and navigating the complex approval processes of automotive design. - Deep understanding of the full automotive product lifecycle, including Proof of Concept (POC), New Product Introduction (NPI), and Start of Production (SOP). - Familiarity with North American OEM development processes, quality standards (e.g., APQP, PPAP), and business practices. Core Capabilities & Skills - Exceptional ability to present complex technical information clearly to diverse audiences, from engineering teams to executive leadership. - Proven ability to translate high-level customer needs and market trends into detailed, actionable product definitions and engineering specifications. - Strong organizational skills with the ability to manage multiple complex projects simultaneously, ensuring milestones and deliverables are met. - Solid understanding of product costing, margin analysis, and the commercial implications of engineering decisions. - Comfortable and effective working in a global, cross-cultural environment, bridging communication gaps between international teams and local customers. - Fluent in English (both written and spoken); proficiency in additional languages relevant to global automotive manufacturing is a plus.

Role Description Our client's Vision AI platform runs where the data is generated — on-premises, inside government facilities, and at the network edge — not in a hyperscaler cloud. That means the infrastructure has to be bulletproof: - GPU clusters provisioned correctly - Kubernetes workloads scheduled efficiently across heterogeneous compute - Storage performing at the throughput AI training and inference demands - The network capable of handling high-bandwidth, low-latency sensor data at scale As a MLOps / AI Infrastructure Engineer, you will own all of it. You will: - Rack, configure, and operate the on-premises compute and GPU infrastructure that powers the platform - Build and maintain the Kubernetes clusters that orchestrate AI workloads - Design the networking fabric that ties edge nodes to core compute - Implement the MLOps pipelines that take models from development to production You will work directly with our AI/ML engineers, the Lead Architect, and on-site client technical teams to ensure the platform runs reliably in environments that are often air-gapped, physically secured, and subject to strict government compliance requirements. Qualifications - 6+ years of infrastructure engineering experience, with at least 3 years managing GPU compute clusters or HPC environments in production - Deep hands-on expertise with NVIDIA GPU infrastructure: driver lifecycle management, CUDA, DCGM, MIG, NVLink topologies, and the NVIDIA GPU Operator for Kubernetes - Production-level Kubernetes administration experience on bare-metal: cluster provisioning, upgrades, CNI/CSI configuration, RBAC, and day-2 operations - Strong networking fundamentals: BGP, VLAN segmentation, RDMA/RoCE or InfiniBand configuration, load balancing, and firewall policy management - Hands-on experience with software-defined storage (Ceph, Rook-Ceph, or MinIO) in AI/HPC workload contexts — performance tuning, capacity planning, and failure recovery - Practical MLOps experience: model serving infrastructure (Triton or equivalent), experiment tracking (MLflow or Kubeflow), and GitOps-based model deployment pipelines - Working knowledge of NIST SP 800-171 controls and the ability to translate them into concrete infrastructure configurations and audit evidence - Proficiency with infrastructure-as-code tooling: Terraform or Ansible for reproducible, auditable infrastructure builds - Strong Linux systems administration skills (RHEL/Rocky Linux or Ubuntu) including kernel tuning, storage I/O optimization, and systemd service management - Excellent written communication for producing infrastructure runbooks, network diagrams, and compliance documentation in a remote-first environment Requirements - Deploy, configure, and maintain on-premises GPU servers — primarily NVIDIA H200 and A100 nodes - Implement and tune NVIDIA-specific tooling: DCGM, MIG, and NVIDIA Container Toolkit - Manage bare-metal provisioning workflows to enable repeatable, auditable server builds - Monitor hardware health, capacity utilization, and thermal/power envelopes - Build, upgrade, and maintain production-grade Kubernetes clusters - Design and operate cluster networking using CNI plugins - Configure and manage MetalLB or equivalent load balancing and service mesh components - Implement resource quotas, LimitRanges, and node affinity/taints - Maintain cluster security posture: RBAC policies, Pod Security Admission, and network policies - Deploy and operate MLOps platforms for experiment tracking and pipeline orchestration - Configure and manage NVIDIA Triton Inference Server - Build CI/CD pipelines for model deployment - Optimize GPU utilization for batch training jobs and latency-sensitive inference services - Manage model artifact storage and versioning using software-defined storage backends - Design and implement the high-bandwidth network fabric required for GPU cluster interconnects - Deploy and operate software-defined storage solutions - Configure network segmentation, VLANs, and firewall policies - Establish and maintain VPN or secure tunneling solutions - Implement infrastructure controls mapped to NIST SP 800-171 and CMMC requirements - Maintain hardened OS baselines across all infrastructure nodes - Produce and maintain infrastructure documentation required for government procurement - Support penetration testing engagements Benefits - Hands-on ownership of demanding AI infrastructure in the public sector - A technically rigorous environment where your infrastructure decisions affect mission-critical operations - Competitive, globally benchmarked compensation including base salary, equity, and performance bonus - Fully remote with async-first culture; periodic travel for deployments and planning - Access to cutting-edge NVIDIA hardware and budget for relevant certifications - Collaboration with a Lead Architect and engineering team who understand infrastructure as a product

Role Description - Platform Architecture & Technical Leadership - Lead and oversee the end-to-end design of a next‑generation Edge‑AI / IoT platform, defining core architecture, data flows, and interfaces across connected devices, on‑prem, and cloud environments. - Champion adoption of open communication standards and high‑performance computing frameworks across the product ecosystem. - Establish and maintain technical decision records, architecture guidelines, and a long‑term technical roadmap in coordination with product leadership. - Anticipate and mitigate systemic technical challenges such as latency, bandwidth limitations, or data‑model integrity before they affect production systems. - Security & Compliance - Drive architectural decisions to align with advanced security frameworks and industry compliance standards. - Implement zero‑trust principles, secure‑by‑design patterns, robust encryption, and supply chain security practices across all platform layers. - Collaborate with internal stakeholders to prepare documentation, system security materials, and technical evidence supporting compliance and certification efforts. - Engineering Excellence & Team Enablement - Provide technical leadership and mentorship for a globally distributed engineering team; lead design reviews, innovation sprints, and internal knowledge‑sharing sessions. - Define and uphold engineering quality standards — including API design, container orchestration, CI/CD pipelines, observability, and disaster recovery readiness. - Partner with technical leads to convert architectural strategies into clear deliverables while ensuring consistent implementation quality. - Stakeholder & Partner Engagement - Serve as the senior technical representative during solution design and onboarding discussions with enterprise or public‑sector clients. - Participate in technical evaluations, proposals, and architecture presentations, showcasing strong familiarity with secure, large‑scale system deployments. - Cultivate trusted relationships with technology partners and industry bodies within the Edge‑AI and connected‑systems domain. Qualifications - 10+ years of software engineering experience, including at least 4 years in an architecture or principal technical leadership role. - Proven experience designing and scaling distributed systems with real‑time or near‑real‑time processing needs. - Expertise with modern messaging and data streaming protocols (e.g., MQTT, Kafka, AMQP, or similar). - Hands‑on background in AI acceleration frameworks and edge hardware platforms. - Understanding of hierarchical data‑modeling standards for device abstraction. - Familiarity with security control frameworks and experience implementing technical compliance measures in system architectures. - Strong proficiency with containerized, cloud‑native systems (Kubernetes, Helm, service mesh, observability tooling, GitOps). - Excellent written and verbal communication skills for both technical and non‑technical audiences. - Ability to collaborate effectively across globally distributed teams. Requirements - Experience working with regulated industries or compliance programs related to information security. - Exposure to additional edge computing or embedded communication protocols. - Background in sectors such as infrastructure, smart devices, transportation, or related public services. - Contributions to open‑source projects in cloud‑native or edge‑AI technologies. - Knowledge of network virtualization, private networking, or advanced connectivity solutions for distributed systems. - Professional certifications in cloud architecture or enterprise frameworks are a plus. Benefits - A mission‑driven opportunity to shape critical digital infrastructure initiatives with meaningful social and technical impact. - Full ownership of architectural design decisions in a greenfield platform. - Competitive global compensation structure including base pay, equity, and performance incentives. - Fully remote, flexible work culture with periodic on‑site collaboration events. - Access to advanced computing and AI resources for experimentation and R&D. - Dedicated budget for learning, conferences, and industry participation.

Role Description As we continue to expand our client base and service offerings, we are seeking a Business Development Manager who can drive new business growth, build long-term partnerships, and help us strengthen our presence in key industries. - Develop and execute business development strategies to expand client relationships in targeted sectors (IT, biotech, engineering, manufacturing, etc.). - Identify new business opportunities, generate leads, and convert prospects into long-term clients. - Build and maintain relationships with HR leaders, hiring managers, and C-level executives across mid- to large-size organizations. - Collaborate closely with the recruiting team to align client needs with recruitment delivery capabilities. - Negotiate service agreements, pricing structures, and partnership terms. - Monitor market trends and provide feedback on competitive insights and potential growth areas. - Represent the company at industry networking events, webinars, and online communities. Qualifications - Bachelor’s degree in Business, Human Resources, or a related field. - 3+ years of experience in business development, client partnership, or sales—preferably within recruitment, staffing, or RPO industries. - Strong understanding of full-cycle recruitment or staffing solutions. - Proven track record of generating new business and achieving sales targets. - Excellent communication, presentation, and relationship-building skills. - Self-driven, results-oriented, and comfortable working in a fast-paced, remote environment. Benefits - Competitive base salary plus attractive commission / performance bonus. - Opportunity to work with a global, multicultural team. - Flexible remote work environment. - Clear growth path toward BD Director / Client Partner roles.