Field CTO, AWS

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Propel the growth of North America across various industries through the pre-sales process.

• Establish delivery standards and facilitate effective service delivery.

• Collaborate with Client Partners and Business Development Leaders to enhance sales initiatives related to data platform and AI application architectures.

• Assist in proposals, workshops, and other sales-related activities.

• Lead technical discovery workshops, architecture sessions, and solution demonstrations.

• Engage with AWS field technical teams to co-create solutions and enhance joint co-selling efforts.

• Ensure seamless transitions from pre-sales to delivery while upholding solution integrity and client trust.

• Act as Blend’s primary AWS representative in client-facing engagements across North America.

• Develop best-practice guidelines in collaboration with architects and AI Engineers across various regions.

• Foster an AWS community to support teams and keep current on AWS methodologies.

• Organize upskilling and cooperative efforts with AWS counterparts.

• Contribute to thought leadership via case studies, blog articles, and speaking opportunities.

• Conduct leadership meetings within Blend and with AWS.

• Collaborate with client CTOs and CIOs to design solutions and convey complex ideas to executive audiences.

• Identify opportunities to enhance client value through AWS and convert technical capabilities into business prospects.

⛳️ Requirements

• Over 15 years of experience in data or platform architecture.

• Minimum of 5 years in cloud architecture, solution engineering, or technical pre-sales with a strong emphasis on AWS.

• Profound understanding of AI with extensive hands-on experience.

• Practical expertise across AWS compute, storage, networking, databases, analytics, ML/AI (SageMaker, Bedrock), and serverless services.

• Solid understanding of real-time and batch architectures within both analytical and agentic systems.

• Proven ability to collaborate with sales teams in a pre-sales or solution engineering role.

• Strong history of designing and presenting AWS-based solutions to enterprise audiences at both technical and executive levels.

• Experience in working with AWS field teams and navigating co-selling processes, partner programs, and AWS Marketplace.

• Outstanding communication skills with proficiency in technical architecture discussions and articulating business value.

• AWS certifications are mandatory.

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Solutions Architect Professional or specialty certifications (Data, ML, Security) are highly preferred.

• Advanced degree is preferred.

• Experience with data engineering, generative AI, or agentic AI workloads on AWS is a significant differentiator.

🏝️ Benefits

• Medical, dental, and vision coverage.

• 401(k) plan.

• Paid time off.

• Paid holidays.

• Commuter benefits.

• Flexible spending accounts.

• Life and disability insurance.

• Employee assistance programs.