채용
Benefits & Perks
•Uncapped earning potential
•Base salary plus commission
•President's Club
•Health benefits
•Team trips
•Stock options
•Healthcare
•Equity
Required Skills
Gong
Outreach
LinkedIn Sales Navigator
Our team is looking for a high performance Solutions Architect with an entrepreneurial mindset. As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's marketing solutions and even defining new solutions. You will work with marketing executives at top-tier companies on their industry-leading advertising initiatives, translating their business goals into an execution plan using Meta's suite of cutting-edge advertising platform. This role will allow you to apply your passion for problem solving to achieving real-world marketing results at Meta scale.
Solutions Architect Responsibilities:
- Act as a technical consultant and subject matter expert on Meta's marketing technology solutions for the marketing organizations at some of the most innovative companies in the world
- Guide our clients to the most optimal implementations by walking them through the technical details Meta's advertising platform and products
- Work closely with sales teams to unlock and develop new opportunities by developing a understanding on business goals and industry trends
- Influence the marketing industry through technology by participating in industry conferences and presenting to executive-level audience
- Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
- Break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals
- Build relationships with team members and cross functional partners
- Share project updates and insights
- Influence decision-making through presentation of data-centric business topics
- Travel 25% of the time
- Participate in interviewing and on-boarding of new team members
Minimum Qualifications:
- Experience with web, mobile, or enterprise technology stack
- Experience communicating with technical and business audience at prospects or clients
- Experience demonstrating knowledge of industry technology areas and trends
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 2+ years of experience working with software systems including querying, SQL scripting, and working with API development
- 3+ years of combined experience as an Engineer, Solutions Architect, Technical Consultant, or Partner/Sales Engineer
Preferred Qualifications:
- Technical understanding of Meta advertising products (including Ads and Pages API, Identity Platform)
- Experience deploying large partner integration projects
- Experience working with API documents, calling API's using scripts, and testing API's
- Knowledge of Ad Tech, Advertising, or Digital Marketing (Brand or Direct Response)
About Meta:
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 Whats App 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.
$98,000/year to $153,000/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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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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