Top Tech Jobs & Startup Jobs

Build and deploy AI agents that automate business workflows, executive reporting, and team operations. Partner with product teams to shape AI capabilities, transform workflows across the company, and provide data-backed insights to the CEO and executive leadership. Define AI-native operating models involving automated reporting, predictive metrics, LLM-driven communications, and agentic workflows.

Leads strategic SAP and technology partnerships across co-sell, resell, marketing, and product integration. Develops global partner strategies, sales plays, joint solutions, enablement materials, executive business reviews, and co-marketing programs. Collaborates with sales, product, legal, professional services, marketing, and technical teams to grow joint pipeline, revenue, and customer value while representing partner insights internally.

Lead the Snowpark software engineering team in building a scalable, cloud-native compute platform for AI, machine learning, data science, and data engineering workloads. Provide technical strategy, manage complex projects, improve product reliability and service health, address team skill gaps, and mentor engineers. The role requires experience with large-scale distributed systems, software engineering management, cloud-native architectures, and serverless compute platforms.

Acquire and close new commercial business for Snowflake by building customer relationships, managing sales pipelines, qualifying opportunities, presenting solutions, and negotiating agreements. The role involves demonstrating Snowflake’s data and cloud capabilities, guiding customers through cloud adoption and digital transformation, collaborating with internal and external partners, and providing post-sales technical guidance to drive customer utilization and success.

Lead the architecture and technical direction of Snowflake’s large-scale, multi-cloud continuous integration platform. Design and implement elastic, performant, fault-tolerant distributed services supporting thousands of developers and millions of builds. Establish engineering standards, resolve systemic reliability and performance challenges, guide CI/CD strategy, mentor engineers, evaluate emerging technologies, and collaborate with product and engineering leadership on roadmaps and developer productivity initiatives.

Own complex, cross-team ML/AI programs from planning through launch. Partner with engineering, research, product, infrastructure, security, legal, and compliance teams to manage roadmaps, dependencies, experimentation cycles, evaluations, risks, governance, and launch readiness. Coordinate customer-facing AI feature launches, resolve execution bottlenecks, communicate status to senior leadership, and establish processes supporting responsible AI, model performance, and scalable delivery.

Manage a portfolio of new and early-stage customers, accelerating Snowflake adoption, implementation, and platform growth. Provide technical architecture guidance, troubleshoot issues, support demos, deliver enablement programs, and collaborate with sales, support, professional services, product, and engineering teams. Use SQL, cloud data architecture knowledge, project management, and AI-powered development tools to help customers move use cases into production and realize business value.

Drive enterprise customer acquisition for Snowflake by prospecting, qualifying, developing, and closing net-new business. Build trusted-advisor relationships, conduct discovery calls and product demonstrations, develop territory sales strategies, achieve revenue quotas, and expand accounts. Partner with sales engineering, professional services, marketing, legal, and finance teams while independently managing complex sales cycles and multi-million-dollar revenue targets.

Develop and refine Snowflake’s visual brand foundations, assets, templates, guidelines, and systems. Create concepts and designs for content marketing, eBooks, campaigns, executive presentations, product launches, and keynotes. Collaborate with cross-functional creative and marketing teams, manage multiple projects, prepare digital and print deliverables, and use AI tools to improve creative workflows and innovation.

Leads Snowflake’s global Traffic and Networking organization, defining strategy and delivering scalable ingress, egress, domain management, and internal networking across AWS, Azure, and GCP. Oversees architecture, high-performance infrastructure, security, reliability, operational excellence, cross-functional delivery, recruiting, and development of engineering leaders and teams. Owns the full traffic stack, including proxy infrastructure, service discovery, network automation, observability, and next-generation connectivity.