Solutions Architect

Braze Braze · Enterprise · Singapore · Customer Experience

Solutions Architect role focused on understanding client business and technical requirements, tailoring the Braze platform to their needs, and ensuring fast time-to-value. This role involves designing and implementing complex technical solutions, acting as a technical advisor, and staying current with emerging trends in AI and machine learning to enhance platform capabilities for customers. The role requires strong technical expertise in SaaS, Mobile, APIs, and Programming, with a focus on customer success and driving business outcomes through effective platform integration.

What you'd actually do

  1. Serve as a trusted, deeply technical advisor, owning the projects and workstreams of technical strategy at any stage across the customer lifecycle from initial architecture through ongoing optimization and beyond.
  2. Design and implement bespoke, complex technical solutions and integrations that meet unique customer needs and drive tangible business value.
  3. Act as a technical conduit between Braze and the customer’s product and engineering teams.
  4. Build best-in-class solutions and document those for future automation and iterative deployment.
  5. Ensure all designed solutions adhere to security best practices, compliance regulations, and architectural standards.

Skills

Required

  • 3+ years of experience in a technical role such as Solutions Architect, Technical Architect, Technical Account Manager, Implementation Consultant, or a related field.
  • 3+ years of technical experience managing complex customer environments with a strong product command and deep technical domain knowledge of SaaS, Mobile, APIs, and Programming.
  • Proven track record of delivering high-impact, custom technical engagements that drive tangible outcomes.
  • Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Experience working cross-functionally with Sales, Product, Engineering, and Customer Success teams.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Nice to have

  • staying current with emerging trends in AI and machine learning

What the JD emphasized

  • technical strategy
  • complex technical solutions and integrations
  • technical depth and expertise
  • emerging trends in AI and machine learning