Role description
Principal Solutions Architect
Solo.ioWho we are.
Solo.io is reimagining infrastructure for cloud and AI. We unite secure, seamless cloud connectivity with AI-ready, agentic infrastructure, and leading enterprises worldwide trust us to securely connect their applications, services, and AI workloads across any environment.
Joining Solo means working at the center of how enterprises adopt AI: on open source projects built in the open with a global community, alongside the people who created them, for customers who are among the largest in the world. If you want to help organizations accelerate innovation, scale intelligently, and put modern AI agents to work, we’d love to meet you. Learn more at www.solo.io.
About the role.
The Solutions Architect is a senior, post-sales technical role focused on the success of our most important customers. You will be the primary technical owner for a small number of strategic accounts, taking near-total responsibility for their technical well-being. This includes driving deep product adoption, ensuring swift resolution of any issues, and acting as the customer's trusted advisor and advocate within Solo.io. You will be a true expert on your customers' architecture, teams, and processes, consulting with them to optimize their use of Solo.io products and drive growth.
Job Description:
- Act as the primary technical point of contact for accounts, developing a deep understanding of their specific use cases, architecture, and business goals.
- Take the lead on technical issue resolution, working with the support organization to ensure timely and effective solutions. When capacity allows, you will be expected to provide the primary effort on solving issues within your accounts.
- Proactively drive product adoption by identifying new use cases and opportunities for the customer to gain more value from Solo.io's product suite.
- Consult with customers on best practices for using Solo.io products within their environment.
- Develop and deliver training sessions and workshops for customers.
- Act as the customer's advocate within Solo.io, providing feedback to the product management and engineering teams.
- Collaborate with the account team to identify and manage risks and opportunities related to product adoption, renewal, and expansion.
Job Requirements:
- 5+ years of experience in a customer-facing technical role such as a Solutions Architect, Site Reliability Engineer, or Senior Support Engineer.
- Deep expertise in cloud-native technologies, including Kubernetes, service mesh (such as Istio), and API gateways (such as Envoy).
- Experience in a post-sales role with a focus on customer success and adoption.
- Proven ability to manage technical relationships with large, strategic customers.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to a variety of audiences.
- Experience with scripting or programming languages (e.g., Go, Python, Bash) is a plus.
- A bachelor's degree in Computer Science or a related field, or equivalent practical experience.
What you’ll love about Solo.
At Solo, our culture is all about hiring great people, creating a fun and fast-paced work culture, and letting our teams work with our customers to successfully solve their challenges.
Solo works collaboratively with our customers, partners and open source communities to deliver technology innovation, technology solutions, architectural best-practices, and hands-on education. Solo uses a unique engagement model with our customers that allows us to quickly make them successful, and continue to work closely with them as their production environments grow.
Solo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
The company may use AI tools to help sort applicants based on job related criteria. However, the hiring team decides who moves forward and no employment decisions are made by AI.