The Sales Engineer will drive enterprise sales of AI infrastructure solutions, supporting pre-sales and post-sales activities while collaborating with account executives.
About the Role:
We are looking for a highly motivated Sales Engineer with a strong background in AI infrastructure to join our dynamic team. In this role, you will play a critical part in driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to our clients.
Key Responsibilities:
- Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success.
- Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals.
- Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies.
- Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment.
- Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives.
- Assist with post-sales enablement to ensure successful deployment and customer satisfaction.
- Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices.
- Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions.
Qualifications:
- Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure.
- Strong communication and presentation skills with the ability to influence both technical and business stakeholders.
- Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows.
- Familiarity with machine learning workflows, MLOps tools, and data engineering best practices.
- A proactive mindset and a customer-first attitude.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Pre-sales technical lead for CrowdStrike Falcon NG-SIEM: own technical relationships through the sales cycle, demonstrate capabilities, answer technical questions, advise customers, enable expansions, gather product feedback, collaborate cross-functionally, and help define go-to-market strategy and integrations to grow NG-SIEM adoption.
Top Skills:
AICloud ProvidersCrowdstrike FalconData Ingestion FormatsData Shipping ServicesDistributed Data StoresKubernetesLinuxNg-SiemSIEMSsoWindowsXdr
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Serve as the technical bridge in sales: identify customer requirements, design and demonstrate security solutions, prepare proposals/RFP responses, provide product feedback to engineering, develop technical marketing materials, and build customer and partner relationships while staying current on security trends.
Top Skills:
AIAvEdrFirewallForensicsHipsIdsIncident ResponseLinuxmacOSSIEMWindows
Cloud • Information Technology • Security • Software • Cybersecurity
Drive technical sales for state, local government and education customers: present Zscaler solutions, lead end-to-end technical sales, run Proofs of Value, architect Zero Trust transformations, and collaborate internally to ensure customer success.
Top Skills:
Ai ToolsFirewallsNetworkingProxiesZero TrustZero Trust ExchangeZscaler
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
