Find your next AI-scored role.

Solutions Architect at Databricks delivering big data and AI projects for enterprise clients. Hands-on technical leadership designing and implementing Spark-based data architectures, with 6-9+ years of data engineering and cloud platform experience.

Solutions Architect at Databricks delivering big data and AI projects for enterprise clients. Hands-on technical leadership designing and implementing Spark-based data architectures, with 6-9+ years of data engineering and cloud platform experience.

Developer Relations Engineer at Anduril Industries building the Lattice SDK ecosystem. Create technical content, support third-party developers, and advocate for the platform to defense and government partners.

Staff Field Application Engineer at Tenstorrent, a custom AI silicon company. Work directly with enterprise customers to solve AI/ML technical challenges, provide product feedback, and drive adoption of Tenstorrent's hardware and software platform.

Delivery Solutions Architect at Databricks advising enterprise customers on data and AI architecture. Role combines technical leadership on Databricks platform implementations with customer relationship management and post-sales strategy execution.

Principal Solutions Architect at GitLab advising enterprise customers on AI-powered DevSecOps platform adoption. Leads technical evaluations, designs solution architectures, and serves as AI subject matter expert for strategic accounts.

Specialist Solutions Architect at Databricks guiding customers through cloud data engineering transformations. Hands-on role architecting production data pipelines, optimizing lakehouse workloads, and providing technical leadership on big data projects.

AI Forward Deployed Engineer at Databricks building and productionizing GenAI applications for federal customers. Develops RAG, multi-agent systems, and fine-tuning solutions; requires U.S. citizenship and Secret clearance eligibility.

Senior Solutions Architect at GitLab focused on AI applications in DevOps and software delivery. Role involves advising customers and internal teams on AI use cases, evaluating architectural tradeoffs, and developing informed perspectives on AI-enabled development workflows.

Head of Programmatic Customer Success at Anthropic, leading scalable digital success programs and AI-powered engagement plays to drive Claude adoption across enterprise customers without 1:1 CSM coverage. Reports to Head of Customer Success; builds and leads a small team.

Solutions Architect at Databricks helping mid-market customers in France adopt the Data Intelligence Platform. Combines technical sales, architecture design, and customer relationship building for greenfield (new logo) accounts.

Delivery Solutions Architect at Databricks responsible for post-sale technical leadership and customer success on the Databricks Data Intelligence Platform. Drives adoption and ROI for complex data and AI workloads across strategic accounts.

Customer Engineer at Anyscale supporting post-sale adoption of the Ray distributed computing platform. Troubleshoot customer issues, advise on ML/LLM workloads, and coordinate with engineering teams on complex infrastructure problems.

Senior AI Deployment Manager at Observe.AI leading enterprise-scale implementations of AI agents for customer experience. Owns strategic onboarding, use-case design, and multi-phase deployments across contact center environments.

Applied AI Architect at Anthropic helping enterprise customers integrate Claude into their technology stack. Combines technical expertise with customer-facing skills to architect LLM solutions, guide deployments, and develop evaluation frameworks.

Specialist Solutions Architect at Databricks guiding customers through cloud data engineering and warehousing transformations. Hands-on role architecting production data pipelines, optimizing lakehouse implementations, and providing technical leadership on large-scale data projects.

Sr. Solutions Engineer at Databricks supporting the AI Natives business. Consults on big data architectures, implements proof-of-concepts for data engineering and ML workflows, and partners with sales to guide customers through Databricks platform adoption.

Customer Success Manager at n8n, an AI workflow orchestration platform. Manage customer relationships, build scalable CS processes using n8n workflows, and drive expansion revenue. Requires CS expertise, technical ability to build n8n workflows, and SaaS commercial experience.

Agent Success Manager at Decagon, a conversational AI platform. Partner with enterprise customers on AI agent deployments, adoption, and value realization while collaborating with product and engineering teams.

Delivery Solutions Architect at Databricks responsible for post-sale technical leadership and customer success on the Databricks Data Intelligence Platform. Drives adoption and ROI for complex data and AI workloads across strategic accounts.

Senior Solutions Architect at Asana designing complex technical solutions for enterprise customers. Leads POCs, MVPs, and architectural integrations using APIs, scripting, and serverless platforms. Partners with sales, product, and engineering to influence platform roadmap.

Founding AI Success Manager at Cresta, an AI customer experience platform. Drive adoption and value realization for Fortune 500 customers across APAC, combining product expertise, strategy consulting, and hands-on execution with Cresta's conversational AI and agent augmentation tools.

Senior Staff Solutions Engineer at Crusoe helping enterprise customers deploy AI/ML workloads on GPU infrastructure. Focus on Kubernetes, MLOps, and cloud infrastructure optimization across multi-cloud environments.

Engagement Manager at Scale AI leading delivery of agentic workflows for U.S. government public sector customers. Based in Germany, managing customer relationships, scoping AI/ML use cases, and overseeing implementation of enterprise-scale solutions.

Solutions Engineer at Scale AI supporting federal customers with AI/ML data platform integration. Role involves customer demonstrations, pilot delivery, dataset integration, and cross-functional collaboration with product and engineering teams.