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Remote Aws Pre Sales information

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$56.5K

$102.4K

$142K

How much do remote aws pre sales jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote aws pre sales in the United States is $102,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $114,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Aws Pre Sales vs Remote Cloud Solutions Engineer?

AspectRemote Aws Pre SalesRemote Cloud Solutions Engineer
CredentialsAWS certifications, sales experienceCloud certifications, technical expertise
Work EnvironmentPre-sales consulting, client meetingsTechnical implementation, deployment
Employer & IndustryTech companies, cloud service providersIT firms, cloud service providers

Remote Aws Pre Sales roles focus on engaging clients, understanding their needs, and presenting AWS solutions to drive sales. Remote Cloud Solutions Engineers primarily handle technical deployment, configuration, and support of cloud infrastructure. While both roles require cloud knowledge and certifications, Pre Sales emphasizes client interaction and sales support, whereas Cloud Solutions Engineers focus on technical implementation and support.

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The most popular types of Aws Pre Sales jobs are:

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Remote Aws Pre Sales jobs near you
Infographic showing various Remote Aws Pre Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $102,446 per year, or $49.3 per hour.

Solutions Architect (Pre-Sales & Delivery) - Remote - USA

FullStack Labs

Helena, MT • On-site, Remote

$59.75 - $78.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
FullStack is seeking an experienced, client-facing Solutions Architect with strong pre-sales acumen and deep technical expertise in JavaScript/TypeScript (Node.js, React), Python (especially for AI use cases), and multi-cloud environments (AWS, Azure, GCP).
The right candidate blends hands-on architectural mastery with polished client authority, driving technical conversations during prospecting, client pitches, and solution design. In addition to core delivery responsibilities, you will leverage pre-sales automation AI tools to streamline technical proposals, thrive in fast-paced environments, and serve as the consultative bridge between business goals and scalable technical execution, with a focus on driving changes to create deals through the translation of business to tech needs.
What We Are Looking For
  • Experience: 10+ years of professional software engineering and architectural leadership experience.
  • Core Tech Stack: Advanced proficiency in JavaScript/TypeScript (Node.js and React) and modern Python (specifically applied to AI workflows).
  • Cloud Architecture: Hands-on experience designing and deploying enterprise solutions across AWS, Azure, or GCP.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (verified via background check).
  • Fluent English proficiency (verbal and written) for direct international client engagement.
  • Sales & Consultation: Demonstrated background in pre-sales engineering, technical consulting, or client-facing advisory roles.
  • AI Tooling: Hands-on experience using AI-driven automation tools in pre-sales or technical workflow contexts.
  • Agile Decision-Making: Handles fast-moving deal cycles and high-pressure client demands with steady composure.
  • Client-Facing Authority: Wins trust during prospective client pitches and executive presentations.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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