# Senior Solutions Engineering Manager, Named - North California

**Company**: Cloudflare
**Location**: North California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Estimated annual salary of $244,000.00 - $336,000.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/cloudflare/jobs/8022391?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_99324614-b00

## Description

As a Senior Solutions Engineering Manager for US Named Accounts at Cloudflare, you will lead a high-performing, geographically distributed team of Solutions Engineers partnering with our most strategic enterprise clients.

You will work side-by-side with Enterprise Sales directors, Product Management, Engineering, and Customer Support to drive full-sales lifecycle technical activities and secure revenue targets.

We are looking for an empathetic leader with an AI-native curiosity to streamline workflows and a player-coach mindset who isn't afraid to roll up their sleeves and dive into the technical details.

Ultimately, you will foster a collaborative, transparent team culture dedicated to turning complex edge security, performance, and serverless challenges into scalable customer successes that help build a better Internet.

## Responsibilities

- Lead and Scale the US Named Team: Oversee the hiring, technical onboarding, continuous enablement, and pre-sales performance of a highly skilled team of Enterprise Solutions Engineers across the United States.

- Drive Strategic Revenue Goals: Partner directly with Named Account Sales Executives and leadership to effectively manage complex sales cycles, coordinate technical proof activities (PoCs), and accurately forecast pipeline progression.

- Shadow and Coach Technical Fieldwork: Step into the field as a player-coach to shadow customer engagements, establish technical best practices, and guide your team in breaking down complex concepts into digestible business value.

- Champion Cross-Functional Alignment: Build deep operational relationships with Cloudflare's core Product, Engineering, Customer Success, and Support teams to establish reliable escalation pathways and accelerate feature request implementations for top-tier accounts.

- Facilitate Hive-Mind Knowledge Sharing: Cultivate internal communication channels to ensure scalable technical solutions, architectural frameworks, and unique team discoveries are seamlessly shared across regional SE teams to prevent repeating mistakes.

- Manage Team Health and Morale: Keep a constant pulse on your team's individual capacity, strengths, and career development goals, maintaining an open environment where transparent feedback and critical insights are actively welcomed.

- Driving Enterprise Adoption: Accelerating the sales cycle by helping customers move past "AI hype" into production-ready, high-ROI use cases.

- Technical Excellence: Building a team that is viewed by customers not just as vendors, but as trusted consultants with thorough understanding of AI and how Cloudflare can be positioned to help.

## Requirements

### Must-Have Skills

- Proven Technical Leadership: Minimum of 5+ years of experience directly managing and scaling a pre-sales Solutions Engineering team, coupled with 10+ years of related technology industry experience.

- Enterprise Pre-Sales Track Record: A documented history of success driving technical pre-sales within the US Enterprise or Named Accounts market, showing strong alignment with sales methodologies like MEDDPICC.

- Deep Architectural Expertise: Strong foundational knowledge of fundamental Internet protocols and cloud architectures, including OSI Model layers 1-7, DNS, BGP, TCP/IP, and SSL/TLS.

- Communication: Exceptional ability to demystify complex AI concepts (like fine-tuning vs. RAG, or compute costs) for C-level executives, while remaining highly technical with data scientists.

- Oversee the design and delivery of high-impact technical validation events (custom demos, hackathons, and scoped PoCs).

- Ensure solutions adhere to enterprise-grade standards regarding AI ethics, data privacy, governance, and latency/cost optimization.

- Customer Lifecycle: Clear understanding of the entire customer lifecycle management and ensure the team is properly aligned.

- Cross-Functional Influence: Demonstrated operational and analytical skills required to influence matrixed organizations, handle critical customer escalations, and manage distributed team resources effectively.

- AI/ML Expertise: Proven, hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow), LLM orchestration tools (e.g., LangChain, LlamaIndex), vector databases, and MLOps pipelines.

- Cloud & Architecture: Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and how to deploy scalable AI workloads.

### Nice-to-Have Skills

- Advanced Portfolio Exposure: Familiarity with modern, emerging technical landscapes such as Zero Trust security architectures, serverless computing (Workers), and post-quantum cryptography.

- Diverse Domain Background: Prior foundational experience working across overlapping technical disciplines like software engineering, product management, financial consulting, or enterprise project delivery.

- Serve as the subject matter expert on Generative AI, Large Language Models (LLMs), MLOps, and data architecture.

## Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.

- Health & Welfare Benefits:

- Medical/Rx Insurance

- Dental Insurance

- Vision Insurance

- Flexible Spending Accounts

- Commuter Spending Accounts

- Fertility & Family Forming Benefits

- On-demand mental health support and Employee Assistance Program

- Global Travel Medical Insurance

- Financial Benefits:

- Short and Long Term Disability Insurance

- Life & Accident Insurance

- 401(k) Retirement Savings Plan

- Employee Stock Participation Plan

- Time Off:

- Flexible paid time off covering vacation and sick leave

- Leave programs, including parental, pregnancy health, medical, and bereavement leave

## Skills

### Required
- Technical Leadership
- Enterprise Pre-Sales
- Deep Architectural Expertise
- Communication
- AI/ML Expertise
- Cloud & Architecture

### Nice to have
- Advanced Portfolio Exposure
- Diverse Domain Background
- Generative AI
- Large Language Models (LLMs)
- MLOps

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/cloudflare/jobs/8022391?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
