• Collaborate with the Local and National Channel Account Management team in a pre-sales capacity • Facilitate in-person and remote technical training and product demos • Train and assist National and Regional Partners in delivering high-quality Rapid7 demos • Collaborate with CAMs and PAMs to deliver technical sales training • Facilitate technical enablement and create shared enablement resource plans • Establish and nurture robust consultative approaches to ensure our partners and their customers are successful with Rapid7

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions • Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications • Crafting and evaluating DevOps automation scripts for network operations, crafting architectures, and developing switch fabric configurations. • Implementing tasks related to network configuration and validation for data centers. • Create Methods of Procedure and deployment documents • Validate network architectures and configs in the lab • Interact with customers to obtain required information to design and build an optimal solution • Use software tools to validate and monitor network performance

Role Description The Business Solutions Architect works within a global account team structure and is responsible for expanding relationships, revenue, and influence at assigned customer bases. The role requires exceeding ambitious sales objectives in the Software Defined automotive industry, focusing on digital cabin experiences and Advanced Driver Assistance Systems (ADAS). The architect builds and nurtures strong relationships with senior software leaders, generating, advancing, and closing large, complex software/services transactions involving multiple Director and VP decision makers. Key Responsibilities - Customer Engagement: - Represent voice of customer insights to HERE teams. - Lead value-selling sales engagements with account teams to develop solutions based on HERE’s product and services portfolio, and in alignment with go to market strategies. - Creation of optimal, scalable microservice-based solution architectures, designs and proposals (including SOWs), solving for customer challenges and opportunities as identified in the discovery stage. - Develop initial business case in support of proposed solutions, aligned to customer and HERE success metrics. - Ideate and develop proof-of-concept solutions leveraging HERE components in support of business development efforts. - Industry and Internal Engagement: - Develop and maintain subject matter expertise in the Software Defined Vehicle space, with particular focus on emerging technologies and their impact on solutions (e.g. NoA, AI, sensor/map fusion, etc.). - Target new bookings and buying centers in existing Global Automotive Accounts (Tesla, Rivian, Lucid etc.), often aligning and partnering with large Tier 1 players. - Collaborate with account teams’ development and implementation of account strategies, maximizing opportunities and value to HERE. - Internal partnering beyond account teams, including partner managers, industry solutions SMEs, product/engineering teams to foster synergies and relationships. Qualifications - 10+ years of successful B2B sales experience in automotive technology (software, IVI, ADAS). - 6+ years experience in technical solution design, implementation, or consulting with a focus on cloud services or SaaS. - 3+ years experience in software pre-sales consulting. - BS/MS in Computer Science, Computer Engineering, or Management Information Systems preferred. - Domain expertise with geospatial information systems (GIS) and location services. - Proven ability to interface with all levels in Product, Development, and organizations. - Excellent written and oral communication skills. - Experience developing solutions leveraging AI, ML, big data & analytics. Requirements - The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. - They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees so classified. Benefits - The expected base salary range for this position is $175,000 to $200,000 per year. Actual compensation will be based on factors such as skills and experience. - This position is also eligible for a target annual performance bonus, which is subject to company and individual performance. - Life at HERE comes with generous benefits to support your health and overall wellness. - Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies. Company Description HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The AHEAD Senior Modern Datacenter Specialist Solutions Engineer (SSE) is a presales technical leader focused on designing, positioning, and enabling enterprise-scale AI infrastructure solutions. This role owns the technical sales motion from discovery through architecture, demonstration, and business case, across the full AI stack: GPU platforms (NVIDIA & AMD), interconnects, orchestration/scheduling, and AI/ML frameworks. The SSE partners closely with Client Directors, Practice Leaders, and strategic vendors to develop market strategies, drive pipeline, and win campaigns in the US enterprise market. - Lead technical discovery and solution positioning for enterprise AI infrastructure opportunities, translating business outcomes into reference architectures and value propositions. - Own pre-sales deliverables including architectures, diagrams, sizing, BOMs, proposals. - Deliver executive and technical presentations focused on NVIDIA AI Enterprise (NVAIE), LLM training/inference, and accelerated analytics. - Guide clients through technology selection, roadmap development, and business case creation for large-scale AI initiatives. - Architect end-to-end AI platforms using NVIDIA DGX/HGX, Blackwell (B100/B200), Hopper (H100/H200), Grace/Grace-Hopper (GH200), L40S, NVLink/NVSwitch, InfiniBand (NVIDIA Quantum), RoCE, and DPU offload patterns. - Design solutions leveraging AMD Instinct (MI300/MI300X) as appropriate, articulating trade-offs in CPU/GPU/DPU, interconnect topology, and cluster scale-out. - Integrate NVIDIA AI Enterprise components (CUDA, cuDNN, TensorRT, Triton Inference Server, RAPIDS) and common ML frameworks (PyTorch, TensorFlow) with orchestration platforms. - Experience integrating on-prem GPU clusters with cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) for hybrid bursting and workload mobility. - Advise on MLOps platforms (MLflow, Kubeflow, Weights & Biases), CI/CD, and governance for multi-tenant AI environments. - Build and maintain relationships with NVIDIA, AMD, Run:AI, OEMs, and networking vendors, aligning campaigns with partner programs and incentives. - Contribute feedback to vendor engineering and product teams, coordinating joint enablement and reference designs. - Create repeatable assets such as validated designs, sizing calculators, POV guides, deployment runbooks, and competitive playbooks. - Mentor SEs and delivery consultants, leading internal training on AI scheduling, performance tuning, and operational best practices. - Lead proof-of-value (POV) and proof-of-concept (POC) engagements, including success criteria, benchmarking, and recommendations. Qualifications - Proven experience architecting and deploying NVIDIA GPU-based AI platforms (NVAIE, DGX/HGX, Blackwell, Hopper, Grace, L40S, H100/H200, B100/B200, GH200) and/or AMD Instinct MI300/MI300X. - Experience with Run:AI, NVIDIA Base Command, Kubernetes (GPU Operator), Slurm, and/or vSphere with Tanzu for AI/ML workloads. - Advanced knowledge of AI/ML frameworks and libraries (PyTorch, TensorFlow, RAPIDS, Triton, CUDA, cuDNN, TensorRT). - Strong understanding of high-speed networking for AI (InfiniBand, RoCE, DPU integration, NVLink, NVSwitch). - Experience integrating on-prem AI infrastructure with public cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) and hybrid architectures. - Experience leading pre-sales campaigns, POV/POC management, and executive presentations. - Ability to identify and leverage emerging datacenter and AI technologies to drive innovative solutions. - Strong analytical skills for troubleshooting complex environments, including storage, compute, networking, and AI workloads. - Skilled at guiding clients through decision-making with clear, strategic recommendations. - Proven track record of working effectively across sales, engineering, and vendor teams. - Knowledge of datacenter security best practices and regulatory compliance. Requirements - Bachelor’s degree in computer science, Engineering, or related field; advanced degree a plus. - 7+ years in datacenter or cloud infrastructure, with 3+ years directly on AI/GPU platforms and orchestration. Certifications (preferred) - NVIDIA Certified Systems Engineer / AI Practitioner; NVAIE enablement badges - Kubernetes CKA/CKS; GPU Operator experience - AWS/Azure/GCP Architect; relevant AI/ML specialty Benefits - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits here for additional details.