Meta provided pay range
This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Solutions Architect 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
- 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
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$152,000/year to $214,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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