Hands-on, customer-facing engineering role that leads deep technical discovery, architects and delivers reusable deployment patterns and accelerators (CI/CD, security, compliance, AI workflows), contributes code or design upstream when needed, and creates runbooks/reference architectures to scale adoption. Role may require up to 50% travel.

Work as a customer-facing engineer to conduct deep technical discovery, design architectures and reusable accelerators, build proofs and prototypes, and contribute code or designs when needed. Focus areas include self-managed and regulated enterprise deployments, CI/CD, security and compliance, AI-enabled workflows, and improving platform adoption across strategic accounts. Role includes travel up to ~50%.

Customer-facing engineering role partnering with strategic AI-native customers and internal teams to deploy, validate, and scale production inference and runtime workloads. Responsibilities include benchmarking, GPU and runtime optimization, building deployment frameworks and automation, platform validation, and enabling ecosystem partners. Role requires travel up to 30% and focuses on scalability, reliability, latency, and workload economics.

Customer-facing senior technologist owning technical sales from discovery through post-sales, designing Cloudera-based solutions, demonstrating products, partnering with account teams, and advocating customer needs to product and engineering. Requires minimum 8 years customer-facing experience and familiarity with big data, cloud providers (AWS/Azure/GCP), data engineering/data science/MLOps, security and governance, and Unix/Linux.

Customer-facing role partnering with sales to onboard customers, drive Falcon Flex adoption and consumption, deliver EQBRs and ROI/value analyses, mitigate churn, and enable cross-sell/upsell across large enterprise accounts. Requires minimum 8+ years' relevant experience. US-based role with a stated base salary range of $135,000–$205,000 per year for U.S. candidates.

Seeking a Developer Relations Manager (manager level) to act as a technical advisor to research labs in life sciences, drive adoption of NVIDIA frameworks and platforms, map research ecosystems, and collaborate with internal teams. Requires a PhD or equivalent research experience and 3+ years of relevant experience applying AI to life-science domains (protein design, genomics, structural biology, etc.).

Client-facing role responsible for architecting end-to-end, secure, scalable GenAI solutions on Gemini Enterprise, including multi-agent workflows, RAG-based data grounding, and security/governance. Requires 6+ years in solutions/cloud architecture or senior technical consulting with deep hands-on experience in Gemini, Google Workspace integrations, BigQuery, LLMs, prompt engineering, and Python.

Define and guide security architecture across public and private cloud and datacenter environments to protect AI/GPU workloads. Responsibilities include cloud-native security, network segmentation, confidential computing, zero-trust and workload identity, container/Kubernetes security, and technical leadership of security architects and engineers.

Own the end-to-end GTM systems architecture and roadmap, act as primary Salesforce admin, administer DealHub CPQ, build integrations and automation (including AI workflows with Claude/MCP), define data governance, manage vendor relationships, and partner with Sales/Marketing/Finance to improve pipeline, forecasting, and revenue operations. Requires 8+ years in RevOps/systems with Salesforce admin certification.

Lead developer relations efforts for capital markets by engaging quants, traders, developers, and partners to drive adoption of NVIDIA GPU-accelerated software (CUDA, CUDA-X, AI frameworks). Requires deep technical expertise in capital markets workflows, HPC/AI performance optimization, and 12+ years of professional experience (with 8+ years in capital markets or quantitative finance). Responsibilities include technical advisory, partner onboarding, benchmarking, community building, and influencing product roadmaps.

The role partners with Enterprise Sales and Solutions Engineering to scope and design complex implementations, create and negotiate Statements of Work, and ensure a smooth handoff to post-sales teams. Requires 5+ years in Enterprise SaaS (solutions consulting, professional services, or management consulting) and focuses on improving win rates, accelerating time-to-value, and driving long-term customer outcomes.

Lead implementations and drive adoption of Chainguard Images as part of Professional Services within Customer Success. Partner with account teams and product/engineering to deliver high-quality image builds, document and test onboarding, and share best practices. Requires strong Kubernetes and containers experience, significant software development background (8+ years), and at least 4+ years in a post-sales/customer-facing role. Located in the US Eastern Time Zone; travel up to 15%.

Twilio is hiring a Software Architect (L6) based in India (remote). The role requires 15+ years designing and scaling distributed systems and platforms, setting company-wide technical vision, leading cross-product architecture, mentoring senior engineers, and driving standards for reliability, scalability, security, and cost optimization. Occasional travel may be required.

Senior Solutions Architect responsible for guiding customers on NVIDIA hardware/software for AI and professional graphics workflows. Requires 8+ years software development experience (Python, C/C++), deep learning/CUDA knowledge, familiarity with graphics APIs and GPU architectures, strong Windows/Linux skills, and willingness to travel to customer sites and NVIDIA HQ (Santa Clara, CA).

Lead Armada’s integration architecture and cross-functional systems coordination: map data structures and flows, manage integration sequencing, steward orphan G&A systems (Finance/ERP, HRIS, CLM), implement automation and AI-assisted workflows, define governance and compliance controls, and partner with stakeholders to ensure reliable reporting and scalable integrations. Remote-based on the continental United States; requires 10+ years in business systems/enterprise applications.

Veeva is hiring a Senior Technical Architect for the Patient CRM team to design, document, and execute integrations (APIs, middleware, batch) between Patient CRM and external entities (hubs, specialty pharmacies, data aggregators). The customer-facing, remote role requires 7+ years of technical consulting/architecture experience in life sciences, strong integration and data-mapping skills, and experience with the Vault platform. Position may involve up to 25% travel. Salary range listed: $80,000–$200,000 (base).

Customer-facing Senior Technical Architect role on Veeva's Patient CRM team. Responsible for leading technical discovery, designing end-to-end integrations (APIs, middleware, batch), ensuring data integrity/security, supporting pre-sales, mentoring junior consultants, and collaborating with product teams. Remote role, up to 25% travel, requires 7+ years of technical consulting/architecture experience in life sciences. Base salary range $80,000–$200,000.

Customer-facing role responsible for leading technical discovery, designing end-to-end integration flows (APIs, middleware, batch), documenting architectures, and executing technical builds for Patient CRM implementations. Requires 7+ years technical consulting/architecture experience, deep life sciences domain knowledge, expertise in modern integration approaches, and up to ~25% travel.

Responsible for owning technical strategy for enterprise customers post-sale, running architecture reviews and workshops, guiding integrations and system design, supporting complex deployments, and partnering with account management, product, and engineering to drive retention, adoption, and expansion. Requires 5+ years in solutions architecture, sales engineering, technical consulting, or similar experience.

NVIDIA is hiring a Technical Account Manager / hardware engineer to be the main technical contact for enterprise customers, resolving installation, operational and product issues for HPC and next-generation AI server technologies. The role requires 8+ years' experience in customer support and debugging, strong Linux and networking knowledge, virtualization (VMware, Docker, Kubernetes), and familiarity with GPUs, accelerators, and related software (Spark, Ceph, ML frameworks).