Serve as the primary technical counterpart for strategic enterprise accounts across the customer lifecycle.
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.
Architect solutions and guide execution
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.
Work with Solutions Engineers and Engineering teams to guide implementation and resolve design trade-offs.
Help customers navigate integration, security, reliability, and operationalization considerations.
Lead technical validation and POCs
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.
Ensure technical evaluations are structured, credible, and repeatable rather than ad hoc.
Support high-priority customer engagements by shaping benchmark methodology, evaluation logic, and demo-to-pilot progression.
Help create a consistent “proof-to-contract” standard across the organization.
Build the SE playbook and demo lab
Help define and evolve the Solutions Engineering playbook, including discovery frameworks, pilot design standards, technical qualification criteria, and customer engagement best practices.
Develop reusable assets such as reference architectures, benchmark templates, workflow patterns, and technical validation frameworks.
Own and improve the demo lab strategy so demos and prototype environments are believable, reusable, and aligned with real enterprise use cases.
Ensure the team has strong technical materials and repeatable methods for demonstrating Wand’s differentiators across industries and use cases.
Turn field learning into clear documentation and scalable internal standards.
Act as a guild lead for the Solutions function
Raise the quality bar across the Solutions Engineering organization through coaching, standard-setting, and technical leadership.
Mentor Solutions Engineers and other customer-facing technical team members on architecture quality, customer communication, and technical rigor.
Help drive consistency in how the team runs POCs, technical discovery, benchmarks, and demo preparation globally.
Identify gaps in tools, process, enablement, and internal documentation, and help close them.
Contribute to the long-term operating model of the Solutions organization.
Partner cross-functionally
Work closely with Product and Engineering to bring field feedback into roadmap discussions, architecture decisions, and platform improvements.
Surface recurring implementation patterns and customer requirements that should become product capabilities.
Collaborate with Customer Success to support adoption, scale, and technical expansion within strategic accounts.
Support internal alignment across Sales, Solutions, Product, and Engineering on what should be sold, how it should be validated, and what good deployment looks like.
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.