Technical Architect

Braze Braze · Enterprise · Sao Paulo, Brazil · Customer Experience

This role is for a Technical Architect at Braze, focusing on delivering outcome-based technical services and bespoke solutions across the customer lifecycle. The role involves architecting integrations, data strategies, and customer-centric use case designs to maximize the value customers derive from the Braze Platform. It requires deep technical expertise, customer obsession, and collaboration with various internal and external teams. The role also involves staying current with emerging trends in AI and machine learning, and advocating for new technologies.

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

Nice to have

  • staying current with emerging trends in AI and machine learning

What the JD emphasized

  • technical strategy at any stage across the customer lifecycle
  • complex technical solutions
  • emerging trends in AI and machine learning
  • complex customer environments
  • custom technical engagements