Vice President, Solution Architect leading architecture for digital servicing applications. Overseeing development and design solutions for scalability, performance, and security in technical environments.
About the role
- Solutions Engineer at Method connecting customer needs to API capabilities. Leading technical discovery and solutions for faster client onboarding in financial services.
Responsibilities
- Join high-priority deals early (often call 1–2) as the technical partner to the AE; lead technical discovery and solutioning.
- Translate customer architecture, constraints, and goals into a clear proposed approach (integration plan, sequencing, risks, and tradeoffs).
- Improve technical sales velocity by tightening the cycle from discovery → solutioning → terms with crisp technical alignment and next steps.
- Occasionally support post-sale solutioning and expansion: participate in customer roadmap conversations, propose new use cases, and accelerate adoption.
- Build solutions playbooks for Discovery and reference architecture to embed a repeatable solutions motion across pre and post sales.
- Create and maintain a lightweight knowledge base / product catalog.
- Partner closely with AEs, CS, TIEs, and Product to surface recurring issues, improve enablement, and feed product learnings back into roadmap decisions.
Requirements
- 5+ years experience in technical Solutioning in a pre-sales environment.
- Strong technical foundation (CS preferred; STEM/engineering/math/physics acceptable with clear technical depth)
- Prior experience working with APIs (selling, implementing, supporting, or solutioning).
- Demonstrated critical thinking: you consistently get behind the question and give answers that match the underlying need.
- Comfortable operating in both pre-sales and post-sales contexts; you can shift between solution design and customer enablement.
- High ownership and speed: you ramp quickly, contribute actively on calls, and produce durable assets (playbooks, guides, demos) that reduce future load.
- Comfortable in a startup environment with ambiguous processes and evolving org structure.
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