Sales Solution Architect
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Flexible work arrangements
- Professional development opportunities
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