Senior Partner Solutions Architect, Technology Partners

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

• 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

• 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.