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Content Ingestion & Transformation Specialist

Coursera

Content Ingestion & Transformation Specialist

Coursera

India

·

On-site

·

Full-time

·

2d ago

About Coursera

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.

Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning.

Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp

Why Join Us

At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.

We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.

Job Overview

Coursera’s Strategic Launch sub-team is building a durable capability to ingest, transform, and launch partner content at scale. This Specialist role supports content ingestion/import, transformations, and launch workflows by executing ingestion tasks, running UAT/QA, reconciling ingestion errors, and triaging defects. The role partners closely with Partner Enablement staff,Product & Engineering, the Services Org, and Teaching & Learning to ensure partner content meets Coursera specifications and launches reliably.

Responsibilities:

  • Execute ingestion/import workflows (Common Cartridge, edX, SCORM, etc) and follow playbook SOPs for content structuring and transformation according to Coursera pedagogical standards
  • Develop and run UAT/QA test cases against acceptance criteria, logging results, maintaining test artifacts, and documenting evidence of reproducibility
  • Log, triage, and verify defects with reproducible steps, evidence, and impact; coordinate triage with Product & Engineering
  • Reconcile ingestion errors and data mismatches, collaborate on investigation of pipeline failures, and escalate to Platform/Solutions Engineering as needed
  • Support launch readiness and execution (pre-launch checks, testing where applicable) and coordinate launch-day validation with Coursera implementation staff and support teams
  • Maintain SOPs and a test-case library; surface recurring failure modes and recommend process/tool improvements
  • Track and report basic operational metrics (error rate, failure/success rates, time-to-reconcile, post-launch critical defects)

Qualifications:

  • 1–3 years of relevant experience (QA/UAT, content operations, technical support, or similar)
  • Strong attention to detail and ability to follow documented SOPs and checklists
  • Basic technical literacy: comfortable reading CSV/JSON/scripts, using web authoring tools, and understanding system flow/upstream vs downstream
  • Experience writing/executing test cases and logging actionable bug reports (steps, environment, evidence)
  • Clear written and verbal communication for cross-functional and partner-facing updates
  • Able to work on well-scoped problems with general instruction and frequent check-ins for new assignments

Nice to haves:

  • Familiarity with content authoring/import formats and tools (Common Cartridge, SCORM, tar.gz, etc)
  • Exposure to SQL or simple scripting for data validation
  • Experience supporting content development and testing
  • Experience using CRM/issue-tracking systems (Salesforce, JIRA)

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at accommodations@coursera.org. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.

To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.

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Coursera

Coursera

Public

Coursera is an online learning platform that partners with universities and organizations to offer courses, specializations, and degree programs. The company provides access to educational content from top institutions and industry leaders worldwide.

1,001-5,000

직원 수

Mountain View

본사 위치

$2.8B

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.8

보상

3.2

문화

4.2

커리어

3.4

경영진

3.6

75%

친구에게 추천

장점

Flexible work hours and remote options

Great learning opportunities and resources

Supportive team and inclusive environment

단점

Heavy workload and high expectations

Limited career advancement opportunities

Compensation could be better

연봉 정보

42개 데이터

Junior/L3

Senior/L5

Staff/L6

Junior/L3 · Data Engineer

3개 리포트

$175,500

총 연봉

기본급

$135,000

주식

-

보너스

-

$169,000

$186,353

면접 경험

3개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

33%

경험

긍정 33%

보통 33%

부정 34%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience