The Sales Engineer will support customers, work with engineering to resolve issues, and qualify customer needs during trials and launches.
CloudQuery is a developer-first cloud governance platform that consists of three main components that can be used together or stand alone; Data Pipelines, Cloud Asset Inventory and CSPM (Cloud Security Posture Management).
We're a Series-B Startup who are powering data movement for SREs, platform, and security teams in Fortune 100. We are looking to bring onboard another a talented and customer focused Sales Engineer to join our growing GTM team.
- Work with Account Executives to qualify and Support customers throughout trials/PoCs and launch.
- Raise insights and trends identified from customer interactions
- Work with engineering team to resolve customer issues
About You
- 6 + years of experience in software engineering, solution engineering or sales engineering
- Deep experience with using/operating one of the large cloud providers AWS/GCP/Azure
- Hands-on experience with at least one programming language.
- Experienced with PostgreSQL and SQL
- Experience working in enterprise environments and customers
- Understanding of how setup and operate a container orchestration tool (K8s, ECS, etc)
- Self-guided, Resourceful, Excellent communicator
- Genuine interest in understanding the issues and use cases our customers are solving
- English as spoken and written English to be able to write solid documentation for new features you develop.
- Remote-first company!
- Competitive pay with significant options pack upside.
- Remote-friendly environment and culture that nurtures company and team events to stay connected
- Lots of responsibilities with tons of opportunities for advancement - be part of the early GTM team
Top Skills
AWS
Azure
Ecs
GCP
Kubernetes
Postgres
SQL
Similar Jobs
.png)
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
The Sales Engineer will support potential customers in evaluating Hex, leveraging technical expertise, managing customer relationships, and collaborating with the Sales team to improve product offerings.
Top Skills:
PythonSQL
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
As a Sales Engineer, you will utilize technical expertise to provide solutions, conduct product demonstrations, and develop client relationships while ensuring customer satisfaction.
Top Skills:
Access ControlApi/SdksCloud ComputingCybersecurityIp NetworkingVideo Security
Information Technology • Sales • Security • Cybersecurity • Automation
The Sales Engineer will drive technical discussions, conduct product demos, and maintain relationships with technical stakeholders, ensuring customer satisfaction and facilitating technical enablement.
Top Skills:
KerberosLdapMicrosoft Active DirectoryMicrosoft Azure Active DirectoryNtlmRadiusTcp/Ip
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
