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Cloudflare

Customer Engineer, India (Based in Mumbai)

Posted 3 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Mid level
Remote or Hybrid
Hiring Remotely in India
Mid level
Own technical relationships across the customer lifecycle: lead discovery, design bespoke architectures, run demos and PoCs across security, networking and developer platforms, drive adoption and expansion with quota responsibility, run technical QBRs, and leverage AI-augmented workflows to automate tasks and focus on strategic advisory.
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Please note: This role will require you to be based in Mumbai.
About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. 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
  • Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare's portfolio (Security, Networking and Developer Platforms).
  • Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion.
  • Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer's evolving business goals and our product roadmap.
  • Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
  • 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 Qualifications
  • Experience: 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).
  • Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture.
  • 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.
  • Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.

Strongly Preferred Qualifications (The "Good-to-Haves")
  • Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway.
  • Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures.
  • Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions.

Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.

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