Customer Success Engineer — Cloud Data Security | San Francisco Bay Area (South Bay preferred)
Overview
Our client is an early-stage, high-growth cybersecurity startup building an AI-driven platform to detect active data breaches and protect sensitive cloud data through stronger data access governance.
As a Customer Success Engineer (CSE), youll sit at the intersection of technical depth, customer outcomes, and product impact—helping innovative companies adopt, expand, and realize measurable value from the platform. Youll operate as a trusted technical advisor to both engineering teams and executive stakeholders, while partnering internally with Sales, Product, and Engineering to shape the customer experience and influence product direction.
What Youll Do
• Lead customers through onboarding, adoption, and expansion—driving measurable outcomes and long-term retention
• Serve as a trusted technical advisor and product champion, aligning the platform to customer goals and workflows
• Build relationships with technical and executive stakeholders to uncover new use cases and growth opportunities
• Monitor account health and success metrics, proactively addressing risks and removing adoption blockers
• Partner cross-functionally with Sales, Product, and Engineering as the voice of the customer—sharing actionable feedback
• Support and mentor peers to elevate the overall customer experience function
Must-Haves
• Education in Computer Science or a related field (or equivalent technical foundation)
• 5–6 years in post-sales / customer-facing technical roles (ideally enterprise + high-growth environments)
• Strong communication skills—able to translate complex technical concepts to both engineers and executives with empathy and clarity
• Experience in Observability, Security, and/or IT Operations, including understanding data pipeline lifecycles (logs, metrics, etc.)
• Proven track record of driving product adoption, uncovering new use cases, and delivering measurable customer value
• Based in the San Francisco Bay Area (South Bay preferred); open to 20–25% travel
Nice to Have
• Hands-on experience with Snowflake and/or Databricks
• Familiarity with enterprise data security and governance tools
• Practical cloud experience across AWS, Azure, or GCP
• Comfortable working in a remote-friendly environment while staying highly proactive and accountable
Compensation & Benefits
• $160,000–$190,000 base salary (based on location and qualifications)
• Equity participation
• Comprehensive benefits, including medical/dental/vision, paid holidays, PTO, and 401(k)
