engineering
Posted 2 hours agoCustomer Engineer, Digital Native
at LazyApply
Hybrid
Responsibilities
- Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Requirements
- As a result, they see significant improvement in performance and a decrease in spam and other attacks.
- We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools.
- Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.
- If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Singapore
- The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.
- Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached.
- Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities
- AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer.
- Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum
- Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of
- experience required will vary based on Associate, Senior, Staff, or Principal leveling) •
- Experience working with hyperscalers/hyperperscaler ecosystem or Cybersecurity vendors
- Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.