Solutions Architect owns post-sales customer engagements, resolves complex technical support issues, builds automation and self-service tools for scalable support, and occasionally assists pre-sales. Requires 3+ years customer-facing technical experience and strong software engineering in modern languages.
140k – 200k
RemoteSupport Engineering
About the role
What You'll Do
Own complete post-sales customer engagements, providing direct technical guidance and solutions
Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems
Design and implement systematic improvements to our support process and infrastructure
Create automated solutions and self-service tools that address common customer challenges
Analyze support ticket patterns to identify product improvement opportunities and preventative measures
Develop technical documentation, guides, and best practices that enable customers to self-solve issues
Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities
Partner with the broader Applied Engineering team to share knowledge and balance support workload
Occasionally assist with implementation projects and pre-sales activities as needed
Time Allocation
50% - Direct customer engagement and technical problem solving
30% - Building automation and scalable support solutions
10% - Developing documentation and self-service resources
10% - Contributing to broader Applied Engineering initiatives and pre-sales activities
Requirements
It's Important To Us That You Have
3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages
Experience developing automation solutions and improving technical processes
Proven ability to troubleshoot complex technical issues in production environments
Excellent written and verbal communication skills with the ability to explain technical concepts clearly
It Would Be Great if You Had
Experience with speech recognition, NLP, or related AI technologies
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in support automation techniques and tools
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