C
Coinbase
Solutions Architect
Skills
BlockchainGolangAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$170,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
18 August 2026
What they need
- As a Solutions Architect on the Sales, Trading and Prime team, you’ll help scale our B2B products by bridging technical field engagement with hands-on software development
- You’ll work directly with customers, from startups to large institutions, as a trusted technical advisor while contributing to open source projects and extending Coinbase’s core products to unlock strategic client opportunities. This role involves substantial coding, and candidates must be actively developing and delivering software in their current role
- Partner with customers as a trusted technical advisor, guiding them in building on Coinbase services and APIs and deepening relationships as they scale
- Collaborate with sales teams to address prospect technical requirements and support deal closure
- Architect distributed systems solutions for complex customer needs and build open source SDKs and reference implementations
- Lead customer implementations end-to-end, delivering technical presentations, resolving roadblocks, and partnering with support teams to ensure success
- Drive collaboration with product and engineering teams to extend core capabilities for strategic client opportunities- Experience with blockchain, crypto, or trading systems
- Degree in computer science and 3+ years of software engineering experience, including expert-level proficiency with REST and WebSocket APIs and production experience with Golang
- Demonstrated ability to independently scope customer requirements and deliver working solutions under tight timelines
- Proven track record designing and building integration solutions across modern and legacy systems for complex, ambiguous customer problems
- Track record of translating complex technical needs into actionable recommendations for cross-functional stakeholders, including sales, product, and engineering teams
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
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