Customer Success Engineer

Customer Success Engineer Bedrock Data - 4.0 San Mateo, CA Job Details Full-time $150,000 - $175,000 a year 10 hours ago Qualifications Jira Computer science Client onboarding Computer Science Automation Product roadmapping Procedural guides Engineering Information Systems Mid-level Bachelor's degree in engineering Post-sales client support Bachelor's degree Computer networking Software documentation Data pipelines GitHub APIs Technical troubleshooting support AI Bachelor's degree in computer science Escalation handling 2 years Communication skills Python Cloud services Debugging Full Job Description About Bedrock Data Data is moving faster than security can keep up, fragmented across clouds, SaaS apps, and AI systems, without the context teams need to protect it. Bedrock Data built the industry's first Metadata Lake to solve this: a living map of all your data that shows what it is, where it lives, who's using it, and how sensitive it is, without ever moving the data itself. This lets enterprises automate security and governance at scale, making data protection continuous and invisible instead of manual and disruptive. Global leaders in technology, finance, healthcare, and biotech trust Bedrock Data to make data security operational. With a $25M Series A led by Greylock, Bedrock is led by repeat founders and technologists who built industry-leading enterprise platforms at Sumo Logic, Rubrik, and Cohesity. Learn more at bedrockdata.ai. About the Role For this role we are looking for our second employee in the post sales organization. In this role you will be a trusted technical partner to our customers, from onboarding them to our platform to ongoing support and assistance. This role requires a natural curiosity for solving hard technical problems, knowledge across a wide range of technical domains (Cloud, Networking, Security, etc) or a willingness to learn. As an early employee this role has a significant impact in shaping both our product roadmap and how we deliver value to our customers. What You'll Do Drive time-to-value for new customers by leading structured onboarding, tracking adoption milestones, and proactively identifying where customers aren't yet realizing the full value of the platform Be the expert with our product, from architecture to deployment options to implementing end-to-end use cases Troubleshoot customer issues spanning APIs, integrations, cloud infrastructure, and data pipelines Write scripts (Python) for internal use or for customers Contribute to customer-facing documentation, runbooks, and how-to guides Collaborate with Sales, Product, and Engineering to escalate issues, advocate for customer needs, and shape the roadmap What We're Looking For Required 2+ years of professional experience in a technical role - will consider internship experience for the right candidate Working knowledge of at least one of the major cloud providers Scripting proficiency in Python — able to read, write, and debug scripts for automation, API calls, and data wrangling Solid understanding of core web/networking concepts and API's Strong written and verbal communication skills and excitement to work with customers A curious, ownership-driven mindset: you dig into problems instead of passing them on Nice to have Previous experience in a customer-facing role (support, solutions engineering, professional services, consulting, or technical account management) Previous experience in the broader cybersecurity domain Experience leveraging AI to get work done Expert level knowledge in one of the 3 major cloud providers Familiarity with tools like Github, Jira and O11y tooling Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience The pay range for this role is: 150,000 - 175,000 USD per year(San Mateo)