Solutions Architect

Meta·New York, New York, United States | Seattle, Washington, United States | Burlingame, California, United States | Austin, Texas, United States·posted 42d ago · last seen 42m ago

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About interviewing at Meta

Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.

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Description

About

The Sales Operations Core Solutions team of Meta Reality Labs is seeking an experienced Solutions Architect. In this role, you will play a crucial part in designing and deploying cutting-edge sales tools and systems to support critical sales capabilities and drive business success. The core function of this Solutions Architect position is to empower the Reality Labs Retail, Sales, Operations and Partnerships teams, ensuring they have the essential capabilities to operate, satisfy customer and partner needs, and grow the business. A significant aspect of this role involves leveraging Artificial Intelligence (AI) and Machine Learning (ML) to develop and deploy AI-enhanced solutions. These solutions will augment business intelligence, automate processes, and generate predictive insights, ultimately enabling business growth and operational efficiency. This role is responsible for the development and maintenance of the technical solutions, tooling, and platforms that business-facing teams use daily. A key focus is on improving internal team productivity, increasing operational efficiency, and-providing data driven insights. Crucially, these systems not only improve productivity but also establish the fundamental business records that underpin key business decision-making processes. The Solution Architect will partner with a wide range of cross-functional teams such as business stakeholders, program managers and engineering teams throughout the development life cycle. In this technical role, the Solutions Architect will apply their core skill set and experiences to define scalable solutions partnering with internal engineering, data analytics, data engineering teams, and external technology vendors to deliver impactful results. The Solutions Architect is additionally responsible for ensuring an effective maintenance protocol is in place for completed solutions.

Responsibilities

  • Architect and Design Scalable Solutions: Take on ambiguous, complex business problems and design robust, scalable, and secure solutions that meet the needs of our internal and external partners. You will own the technical design from concept to launch, ensuring alignment with our long-term technical strategy and business roadmap
  • Drive Technical Strategy and Roadmaps: Identify and define the projects and initiatives required to solve key business challenges. You will be responsible for creating and managing the technical roadmap for your domain, ensuring that we are making the right investments to support our growth
  • Lead Cross-Functional Programs: Lead large-scale, cross-functional technical programs from design to deployment. You will work closely with engineering, product, data, and business teams to ensure that we deliver high-quality solutions on time and within budget
  • Provide Technical Leadership and Mentorship: As a key member of the team, you will be expected to provide technical leadership and mentorship to others. You will be a go-to expert for your domain
  • Champion Operational Excellence: Design and implement solutions that are not only scalable and performant, but also highly reliable and maintainable. You will be responsible for defining and implementing best practices for operational monitoring, support, documentation and will lead business continuity efforts while driving ongoing improvements to the tools and processes owned by Core Solutions
  • AI Native Mindset: Champion AI-native approaches by designing and integrating advanced AI and machine learning solutions into sales processes and customer experiences. This includes leveraging Meta’s AI platforms and models to automate workflows, generate data-driven insights, and enable personalized engagement at scale. Collaborate cross-functionally to ensure responsible, privacy-compliant AI adoption, continuously explore emerging AI technologies, and empower both internal teams and customers to realize the full value of AI-powered innovation within the RL Sales ecosystem

Minimum Qualifications

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 8+ years of experience in building technology solutions for sales organizations in a technical role such as Solution Architect or Technical Consultant
  • B.S. or M.S. in business-related or quantitative field (Engineering, Management Information Systems or similar discipline) or equivalent work experience
  • Proven experience in designing and delivering large-scale, complex enterprise solutions
  • Expertise in at least one of the following domains: CRM (Salesforce), ERP, Supply Chain, or Finance systems or AI / ML based services / products
  • Understanding of data structures, data modeling, and database design Ability to work both independently and collaboratively in a fast-paced and demanding environment
  • Able to communicate complex technical concepts to both technical and non-technical audiences
  • Experience communication across a diverse set of cross functional stakeholder teams and at all levels within the organization
  • Experience with problem-solving on group settings, with understanding of business drivers
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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