Partner Solutions Architect, Technology Partners

Description As a Partner Solutions Architect, you'll be responsible for providing technical guidance to Bright Data’s technology partners. Our goal is to drive growth through co-solutioning, education, and enablement with our partner organization. The person in this role is responsible for driving technical engagements, understanding partner requirements and designing and integrating end-to-end solutions. This role requires a blend of technical depth, including shipping production-level code and creating technical documentation, and effective interpersonal skills, such as communicating technical concepts to non-technical audiences and aligning cross-functional stakeholders to build productive partner relationships, influence the product roadmap, and resolve complex technical and business challenges. *This is a hybrid position based in San Francisco

Responsibilities

• Drive technical engagements with strategic Bright Data partners to understand requirements and deliver solutions to complex problems • Design, build, and integrate end-to-end systems and launch-plan strategies to meet the needs of our partners • Develop and execute enablement plans • Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing the product roadmap to meet the business needs • Build and manage strong working relationships with partner technical counterparts and internal cross-functional teams • Create technical content, tools, and documentation to empower developers and partners

Requirements

• 5+ years of experience in a customer-facing role such as solution consultant, solutions architect, or sales engineer for a global software enterprise • Strong technical acumen in API integrations, SaaS platforms, and enterprise architectures, with an understanding of how technology partners build and scale integrated solutions • Experience working with technology partner ecosystems • Outstanding spoken and written communication skills, presentation skills, and confidence in explaining complex concepts to both technical and non-technical audiences • Development proficiency in languages like Python, Java, Go, Rust, Node.js (at least one) • Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering • Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps • Thrive in a high-velocity environment; you are proactive, organized, and capable of managing multiple high-priority projects simultaneously.