
TMSfirst
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#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
11 Jobs
Regional Sales Director
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Personally carry a full Regional Sales Director quota on named strategic accounts within the West territory. • Run personal outbound/inbound qualification motion; source, advance, and close opportunities end-to-end on assigned named accounts. • Maintain 3–5x pipeline coverage on personal quota; keep MEDDPICC current on every personal deal. • Lead, coach, and develop 5+ direct reports (Account Executives / Senior Account Managers) across the region. • Run weekly deal reviews using MEDDPICC, regular objection-handling, and skills-development clinics. • Conduct weekly 1:1s, quarterly performance reviews, and document individual development plans. • Join discovery calls, negotiations, and key customer meetings alongside reps on top accounts. • Own hiring, onboarding/ramp, and performance management for the regional team. • Own regional pipeline build and coverage discipline against quarterly team quota. • Submit weekly regional forecast to the VP Sales with commitment/upside/downside discipline. • Maintain HubSpot hygiene across the regional team (stage, next step, close date, MEDDPICC fields). • Enforce the MEDDPICC framework on every qualified opportunity in the region. • Build and own account plans for the region's top strategic accounts; multi-thread into top accounts. • Own territory planning - validate and tier accounts T1/T2/T3; align rep assignments across the team's book. • Provide region-specific feedback to Marketing on ICP, messaging, and content gaps. • Partner with Channel/Partner head to activate regional SI/GSI and reseller partner relationships for co-sell motions. • Represent CIQ at regional industry events and customer engagements as needed.
Account Executive – West Coast Preferred
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Carry a full individual quota on named accounts within the West territory. • Run personal outbound/inbound qualification motion; source, advance, and close opportunities end-to-end. • Maintain 3–5x pipeline coverage against quota; keep MEDDPICC current on every active deal. • Negotiate agreements and manage the full sales cycle from prospecting to a signed deal. • Build and maintain a healthy, accurately staged pipeline against quarterly quota. • Submit a weekly forecast with commit/upside/downside discipline. • Maintain HubSpot hygiene on all opportunities (stage, next step, close date, MEDDPICC fields). • Apply the MEDDPICC framework to every qualified opportunity. • Build and own account plans for top accounts in the territory; multi-thread within key accounts. • Partner with the Regional Sales Director on territory and account tiering (T1/T2/T3). • Provide Marketing with feedback on ICP, messaging, and content gaps based on field conversations. • Partner with Sales Engineering on technical discovery and POC execution. • Represent CIQ at regional industry events and customer engagements as needed.
Linux Kernel Development Engineer
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Lead the design, development, and maintenance of Linux kernel components for our products/services at CIQ. • Collaborate with cross-functional teams to gather requirements and translate them into efficient and scalable kernel designs. • Write high-quality, modular, and well-documented code in C and other relevant languages, adhering to coding standards and best practices. • Develop and maintain kernel-specific testing and automation tools to improve how we build, test, and release kernels. • Debug and resolve complex kernel-level issues, including memory management, process scheduling, and inter-process communication. • Collaborate with hardware engineers and other stakeholders to ensure seamless integration of kernel components with hardware platforms. • Stay updated with the latest advancements in the Linux kernel community and relevant technologies, evaluating their potential impact on our products and services. • Review code submissions from team members and provide constructive feedback to maintain code quality and consistency. • Conduct performance analysis and optimization of kernel components to meet specified performance targets. • Document design decisions, APIs, and processes for future reference and knowledge sharing. • Provide guidance and mentorship to junior developers, fostering their growth and development.
Principal Software Engineer – GoLang
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• As a Principal Software Engineer - GoLang, you will work within the Engineering department to design, develop, and support enterprise solutions by contributing to the products and infrastructure for CIQ. • You will also maintain our systems' capacity and performance. • You need to be able to troubleshoot and improve applications and processes. • You’ll analyze current code and industry developments to design engineering solutions to solve problems and create seamless user experiences. • Leading and participating in architecture-level discussions, planning, and implementation. • Researching to ensure that what we are building is always the best path forward. • Documenting projects to share knowledge and facilitate integration for users. • Driving proof of concepts and minimal viable products for demonstration. • Supporting multiple services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews. • Improving products by collaborating with Engineering teams, Product teams, Sales teams, and open-source communities (as needed) on optimal and relevant solutions while sharing knowledge. • Designing and guiding solutions by filling the gap in ambiguous requirements.
Principal Linux Engineer
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• As a Principal Linux Engineer, you will be part of the team that owns software solutions for Rocky Linux from CIQ (RLC) and will be primarily responsible for building, patching, and testing userspace packages in the operating system. • You will also work on improving tooling and automation as part of the package-building process in the OS. • You need an understanding of CVE’s and how to remediate CVE’s in RPM packages that are shipped to customers. • You will also be working on how to customize, optimize, and create various packages to improve the customer experience with our products. • You will build out testing for both specific software as well as testing the system as a whole. • Working closely with the engineering, product, open-source community, and sales teams to develop relevant solutions. • Taking part in architecture-level discussions, planning, and implementation. • Documenting each project to share knowledge and facilitate integration for users. • Driving proofs of concept and minimum viable products for demonstration. • Focusing on quality by developing automated tests. • A Releasing fast and releasing often, software development mentality. • Leveraging source control (Github/ Gitlab) for all development while collaborating with internal teams and the open-source community. • Supporting multiple services before they go live through activities such as system design consulting, software platform and framework development, capacity planning, and launch reviews. • Deployment on standard server architectures, virtual machines, and cloud infrastructure.
Senior Application Engineer
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• As a Sr. Application Engineer, you will serve as a key contributor to the development and expansion of Ascender Pro and other internal application projects. • You will take ownership of engineering work across both frontend and backend systems, building and shipping features at a high velocity. • Design, develop, and maintain application features using Python (backend) and React/TypeScript (frontend). • Contribute to additional projects built in Go as needed. • Leverage AI-assisted development tools effectively while maintaining the judgment to validate and correct AI-generated output. • Collaborate closely with the existing engineering team to ship production-quality code at a fast pace. • Participate in architecture decisions and help define best practices for the application stack. • Troubleshoot, debug, and resolve issues across the full stack. • Support other internal engineering initiatives as bandwidth allows.
Senior Technical Content Marketing Manager
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Author long-form technical blog posts, white papers, solution briefs, tutorials, and case studies that showcase product capabilities and thought leadership. • Produce executive summaries and digestible overviews of complex technical topics for C-suite, business, and non-technical audiences. • Develop content across the full buyer journey - awareness, consideration, and decision, ensuring technical accuracy and marketing impact at every stage. • Write and edit website copy, landing pages, email campaigns, and social media content with a technically grounded voice. • Partner with engineering, product management, and solution architecture teams to extract technical insights and convert them into audience-appropriate messaging. • Attend sprint reviews, architecture discussions, and product demos to stay current on product capabilities, roadmap, and differentiators. • Translate command-line workflows, system architectures, benchmark data, and configuration details into clear, visually supported narratives. • Own and maintain the technical content calendar in coordination with product marketing, demand generation, and communications teams.
Senior/Principal Performance Engineer
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers. • Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities. • Establish and own performance baselines across CIQ's product and solutions portfolio. • Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification. • Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball. • Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor. • Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications. • Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack. • Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations. • Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads. • Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization. • Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.). • Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform. • Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements. • Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights. • Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost. • Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design. • Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model. • Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines. • Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently. • Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each. • Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem. • Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes. • Document and communicate findings clearly - from low-level profiling data to executive-level summaries. • Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.
Senior/Principal AI Performance Engineer
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency. • Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion. • Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform. • Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead. • Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions. • Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies. • Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements. • Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure. • Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers. • Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods. • Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows. • Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball. • Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings. • Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike. • Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples. • Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization. • Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products. • Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap. • Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community. • Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment. • Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines. • Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale. • Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands. • Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer. • Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
Senior Technical Product Marketing Manager
TMSfirst#1 AI DIGITAL Logistics TMS - maximum customer experience artificial intelligence freight matching-global visibility
• Write and produce technical content across formats that practitioner audiences (developers, sysadmins, and infrastructure architects) actually read and trust: solution briefs, whitepapers, technical blogs, benchmark writeups, and data sheets. • Partner with engineering and product to surface technically rich stories (benchmark results, architecture decisions, integration patterns, customer outcomes) and turn them into content that supports buying decisions. • Apply established messaging and positioning consistently across all assets, maintaining accuracy and discipline across every format. • Manage production volume and editorial calendar in coordination with the broader marketing team. • Own CIQ's webinar program end-to-end: strategy, calendar, production, promotion coordination, and performance tracking. • Build and maintain the technical collateral that equips sales and sales engineering to run evaluations and win competitive deals.
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