Sales Solution Architect

Wand AI

Sales Solution Architect leading technical customer journeys for enterprise accounts in AI-powered automation. Collaborating with Sales, Solutions Engineers, Customer Success, and Engineering to solve complex business problems.

Posted 5/9/2026full-timeRemote • 🇮🇱 IsraelSeniorLeadWebsite

About the role

Key responsibilities & impact

Own the technical customer relationship
Lead technical discovery with customers to understand workflows, systems, constraints, data environments, and success criteria.
Translate ambiguous business problems into clear solution architectures and implementation approaches.
Build credibility with both executive and technical stakeholders by clearly articulating how Wand works and where it creates differentiated value.
Partner closely with Sales on strategic deals and with Customer Success on long-term customer success and expansion.
Design scalable solution architectures for enterprise deployments using Wand’s platform, including workflows, agents, integrations, and governance requirements.
Define the technical approach for proofs of concept, pilots, and production rollouts.
Ensure solution designs are realistic, robust, measurable, and aligned with customer environments.
Help customers navigate integration, security, reliability, and operationalization considerations.
Define technical proof strategies for enterprise opportunities, including what needs to be validated for a customer to move forward.
Establish clear POC success criteria and benchmarks across dimensions such as accuracy, latency, coverage, usability, reliability, and business impact.
Help create a consistent “proof-to-contract” standard across the organization.

Requirements

What you’ll need

7+ years of experience in a customer-facing technical role such as Solution Architect, Enterprise Architect, Solutions Engineer, Sales Engineer, or similar.
Strong experience working with enterprise customers in complex software environments.
Proven ability to design solution architectures that connect business problems to scalable technical implementations.
Strong hands-on technical fluency, including experience with APIs, integrations, data flows, workflow systems, and enterprise software architectures.
Experience with AI/ML systems, including LLM-based applications, orchestration, RAG, automation workflows, or adjacent applied AI use cases.
Demonstrated ability to lead proofs of concept, technical validations, or pilot programs for enterprise customers.
Ability to communicate effectively with both senior executives and highly technical stakeholders.
Strong judgment in balancing technical ambition with customer reality, delivery feasibility, and commercial context.
Experience building reusable frameworks, playbooks, or standards for customer-facing technical teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

solution architectureAPIsintegrationsdata flowsworkflow systemsenterprise software architecturesAI/ML systemsLLM-based applicationsautomation workflowstechnical validations

Soft Skills

communicationleadershipjudgmentcredibility buildingcustomer relationship managementcollaborationproblem-solvingtechnical fluencystakeholder engagementstrategic thinking

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Engineering