D.LUXURY BRANDS
Overview
Solutions Engineer
at
D.LUXURY BRANDS . This is a foundational member of the Solutions team specialized in helping customers adopt transformative AI capabilities while balancing trust, speed, and security. What You’ll Do
Lead post-sales technical implementation for our AI-powered lending platform with major customers Translate complex client needs into scalable, secure, and high-performance architectures Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations Guide clients through API integrations, data mapping, and custom configurations Be the trusted technical advisor for clients, ensuring long-term success and satisfaction Own the end-to-end solution lifecycle from onboarding to production readiness Help evolve our implementation playbook as we scale across new markets and products What You\'ll Bring
5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.) Skilled in navigating technical discussions with both engineers and executives Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment Excellent written and verbal communication skills Proficiency in one or more programming languages (NextJS, TypeScript preferred) Familiarity with data pipelines, ETL tools, and financial systems integration Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Marketing Services Referrals increase your chances of interviewing at D.LUXURY BRANDS by 2x Location: San Francisco, CA; San Mateo, CA; Oakland, CA; Redwood City, CA Salary ranges are listed in postings and may vary by location and experience. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Solutions Engineer
at
D.LUXURY BRANDS . This is a foundational member of the Solutions team specialized in helping customers adopt transformative AI capabilities while balancing trust, speed, and security. What You’ll Do
Lead post-sales technical implementation for our AI-powered lending platform with major customers Translate complex client needs into scalable, secure, and high-performance architectures Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations Guide clients through API integrations, data mapping, and custom configurations Be the trusted technical advisor for clients, ensuring long-term success and satisfaction Own the end-to-end solution lifecycle from onboarding to production readiness Help evolve our implementation playbook as we scale across new markets and products What You\'ll Bring
5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.) Skilled in navigating technical discussions with both engineers and executives Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment Excellent written and verbal communication skills Proficiency in one or more programming languages (NextJS, TypeScript preferred) Familiarity with data pipelines, ETL tools, and financial systems integration Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Marketing Services Referrals increase your chances of interviewing at D.LUXURY BRANDS by 2x Location: San Francisco, CA; San Mateo, CA; Oakland, CA; Redwood City, CA Salary ranges are listed in postings and may vary by location and experience. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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