AWS Field CTO
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 30 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 15+ years required
- Where you can live
- US only
- Skills and tools
- aws
- Degree or licence
- Mentioned (bachelor)
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $260K–275K/yr
- Experience
- 15+ years required
- Employer publication date
- 29 October 2026
- First recorded by Psst
- 30 October 2026
- Last checked at the source
- 10 November 2026
About the job
You are joining our growing AWS practice, focusing on North America growth across multiple industries where you have the unique opportunity to be part of driving the pre-sales motion, and being a key leader in building the delivery standards and support to effective delivery. Across clients in Fortune 1000 and Private-equity backed businesses, you work with Blend experts and Client Development leaders to be a strategic advisor to clients and shape engagements to create real business value. Internally you work across architects and engineers globally to help drive architecture standards, team support and accelerator development.
You are a passionate AWS advocate that loves data and AI — someone who lights up talking about the technology, earns instant credibility with AWS engineers and client architects alike.
Responsibilities
Platform Architecture/Approach Pre-Sales Efforts
- Partner with Blend Client Partners and Business Development Leaders across North America to drive sales efforts around data platform and AI Application architectures and approach, supporting proposals, workshops, and other sales activities.
- Lead technical discovery sessions, architecture workshops, and solution demonstrations that connect client challenges to AWS-based outcomes
- Engage directly with AWS field technical teams (SAs, Specialist SAs) to co-develop solutions and strengthen joint co-sell motions
- Ensure smooth pre-sales to delivery handoffs, maintaining solution integrity and client confidence through the engagement lifecycle, and delivery activities where needed.
Technical Leadership and AWS Community
- Serve as Blend’s primary AWS advocate in North America client-facing engagements, articulating the business and technical value of cloud-native, data, and AI architectures on AWS.
- Work across regions with Blend’s architects and AI Engineers to establish best practices recommendations and help create a community around AWS to provide support to teams and ensure we stay at the cutting edge of AWS approaches.
- Work with appropriate AWS counterparts to align on relevant upskilling and collaboration.
- Contribute to thought leadership through case studies, blog posts, and speaking engagements at AWS and industry events
Executive Presence & GTM Alignment
- You will regularly participate and lead leadership touchpoints within Blend and with AWS
- Frequently lean in with client CTO and CIO’s to whiteboard solution design, and simplify and standardize to communicate complex concepts with confidence to less technical executive audiences
- Apply creative thinking on where is there opportunity for Blend to drive more client value using AWS – translating technical capabilities into business opportunities.
- 15+ years of experience in data or platform architectures, with at least 5 in cloud architecture, solution engineering, or technical pre-sales with a deep focus on AWS
- Strong understanding of AI and deep usage experience.
- Hands-on expertise across core data and AI services including compute, storage, networking, databases, analytics, ML/AI (SageMaker, Bedrock), and serverless
- Strong understanding of real-time and batch architectures and the implications on solution design across analytical and agentic systems.
- Demonstrated ability to work shoulder-to-shoulder with sales teams in a pre-sales or solution engineering capacity
- Strong track record of designing and presenting AWS-based solutions to enterprise audiences at both technical and executive levels
- Experience engaging with AWS field teams and navigating co-sell processes, partner programs, and AWS Marketplace
- Genuine passion for AWS technology and a drive to be a credible, enthusiastic advocate for cloud transformation
- Exceptional communication skills with fluency in both technical architecture discussions and business value storytelling
- AWS certifications required; Solutions Architect Professional or specialty certifications (Data, ML, Security) strongly preferred
- Experience with data engineering, generative AI, or agentic AI workloads on AWS is a strong differentiator
- Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred
The starting pay range for this role is $260k - $275k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. The company offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.
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The company is a high-growth, AI-forward company at the forefront of data science, analytics, technology, and agentic AI solutions. We partner with leading enterprises to transform business performance by combining consulting expertise, world-class talent, and scalable technology solutions. Our mission is to fuel bold visions and deliver measurable transformation through the seamless alignment of human expertise and artificial intelligence.
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