채용

Software Engineer, District Dashboard
San Francisco, CA, OR Anywhere in the Continental U.S.
·
On-site
·
Full-time
·
2w ago
Compensation
$101,000 - $118,000
Benefits & Perks
•Healthcare
•Flexible Hours
•Parental Leave
•Mental Health
•Learning Budget
•Healthcare
•Flexible Hours
•Parental Leave
•Mental Health
•Learning
Required Skills
JavaScript
Clever is on a mission to connect every student, worldwide, to a world of learning. With our identity platform for education, we serve 77% of U.S. schools and over 1 million K12 students internationally. As a trusted partner for schools and educators, we provide secure, seamless access to digital learning tools that empower students everywhere. Clever, a Kahoot! Company, is headquartered in San Francisco, CA, but our impact extends far beyond. Learn more about us at www.clever.com.
As an engineer on the District Dashboard team, you’ll primarily focus on accelerating the adoption of Clever's products by District Administrators. Our goal is to help them securely connect the data and applications they rely on to make digital learning work better for everyone while providing a best in class Clever experience for District Administrators. Additionally, the District Dashboard team owns Clever’s digital sales channel and the infrastructure powering digital sales and renewals with heavy collaboration with our product, marketing, operations, and success teammates.
A DAY IN THE LIFE:
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Collaborate with Product Management, Design and Marketing to research, design, and code major new features and enhancements that will best engage, educate, and delight educators.
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Develop and lead new features spanning fast and intuitive UIs, Go Microservices, and rest APIs to give administrators access to their data, resources and other district management tools.
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Be an important part of Clever’s ecosystem of engineering excellence as we strive to create both the best possible customer experiences and top quality internal architectures across all of our products and initiatives.
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Understand and prioritize the Clever engineering culture - see our blog post on Defining Clever's Engineering Culture.
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Participate in team on-call rotation. Shifts are one full week every ~7 weeks. Primarily working during business hours to respond to customer requests, but may require off hours incident responses.
The Clever District Dashboard team works across the stack, including AWS Lambda, Dynamo, and RDS, to deliver products that are robust and delightful for students, educators, and application partners to use. Clever has a microservice container-based architecture and is hosted entirely in AWS. We use Go for backend services, with Node, TypeScript, and React for frontend services.
WHAT WE’RE LOOKING FOR:
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A Bachelor's degree (B.A./B.S.) from an accredited four-year college or university in any discipline
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You have relevant coursework or equivalent self-study in programming, computer science, or a related technical field
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Knowledge or experience with JavaScript is required
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You can demonstrate past projects (personal, academic, or professional) that showcase strong coding, problem-solving, and collaboration skills
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A desire to grow as an engineer through collaboration, code reviews, and learning new languages/technologies
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Excellent communication skills during team conversations, technical spec review, code review, and pairing sessions with teammates
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Commitment to inclusion and belonging: Clever believes that the classrooms we serve and our company’s halls should be spaces that are diverse and inclusive. We seek opportunities and celebrate actions that further allow us to build diverse teams, include every voice, and create a safe space for everyone to bring their authentic selves into the workplace.
CLEVER BENEFITS AND PERKS:
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A competitive salary
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Flexible Paid Time Off
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Paid Parental Leave
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Top-notch healthcare, vision, and dental coverage for you and your family
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Best-in-class mental healthcare service that supports employees' mental and emotional wellness
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A generous personal development yearly budget which can be used for courses, conferences, trainings, books, and more
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A comprehensive Learning & Development program that enables employees to enhance their skills, knowledge, and functional expertise
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Annual company and team events to connect with fun, bright coworkers
SALARY TRANSPARENCY: The range of our base salary cash compensation for this role for candidates living in the United States, besides NYC and San Francisco, CA, is between**$101,000 - $118,000**. For candidates living in NYC and San Francisco, CA is between**$111,000 - $130,000.** All final offers are determined using multiple factors including experience and level of expertise.
Clever does not conduct interviews via text or Telegram. We will never ask for your financial information or reimbursement of equipment of any kind. If you receive any communications regarding employment with Clever that you think might be a scam, please email recruitingscam@clever.com.If you are a resident of Colorado, please note you have the right to redact your age-related information like age, birth date, or dates of schooling.
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About Clever

Clever
AcquiredClever is an American educational technology company. It was founded in 2012 by Tyler Bosmeny, Dan Carroll, and Rafael Garcia. It was acquired by Kahoot! in 2021.
51-200
Employees
San Francisco
Headquarters
Reviews
3.9
16 reviews
Work Life Balance
2.8
Compensation
4.0
Culture
4.5
Career
3.5
Management
2.5
75%
Recommend to a Friend
Pros
Great company culture
Good compensation and benefits
Supportive and welcoming environment
Cons
Long hours during busy season
Overtime requirements during enrollment periods
Inflexible work hours in some roles
Salary Ranges
0 data points
L2
L3
L4
L5
L6
L2 · Recruiter L2
0 reports
$77,610
total / year
Base
$31,044
Stock
$38,805
Bonus
$7,761
$54,327
$100,893
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Online Assessment
5
Onsite/Virtual Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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