Overview
We're looking for a Solutions Architect to guide customers from signed contract to live and scaling. You'll be the technical expert on our APIs and SDKs, designing implementation strategies, mentoring customer eng teams, and building playbooks that help companies across fintech, iGaming, PSPs, and top exchanges ship faster. You'll work closely with Sales (who owns the commercial relationship) and partner with Solutions Engineers and Support.
What You'll Do
Serve as a trusted solutions consultant, driving fast, successful customer implementations and adoption
Design and deliver post-sales solutions (analytics, processes, documentation, infrastructure) that accelerate time to value
Optimize tools and data (Gong, Pylon, Kapa, Datadog, Amplitude, AI self-service) to improve workflows and customer experience
Guide customer engineering teams on SDK and API best practices to reduce timelines and scale rollouts
Triage and resolve technical issues across customers and internal teams to maintain momentum
Create playbooks and implementation guides to speed onboarding and drive usage
Partner cross-functionally and with executives, leading technical deep dives and platform optimization
Stay current on crypto/fintech trends; travel occasionally (~1x/month)
Who You Are
Bachelor's degree in Computer Science, Data, or equivalent hands-on experience
3+ years in solutions engineering, solutions architecture, technical project management, or support engineering—ideally leading implementations in a startup environment
Strong communicator who builds trusted relationships with customers and cross-functional partners
Proven hands-on experience designing, using, and troubleshooting APIs and integrations
Comfortable managing multiple projects and priorities in a fast-paced environment
Fluent in APIs, SDKs, and modern tooling (API management, reporting, AI/automation)
Working knowledge of crypto and fintech, including blockchain technology, digital assets, regulatory considerations, and real-world use cases
Experience on early-stage or founding teams strongly preferred