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Coursera

Coursera

Consumer · Online learning

HQ
Mountain View, US
Founded
2012
Website
coursera.org

Frequently asked questions

  • What AI roles is Coursera hiring for?

    Coursera currently has 1 active AI-related role in our index. The most common open titles are: Learning Designer - Technical/AI. Most positions are in Product.

  • What stage of AI development does Coursera focus on?

    Coursera's active AI hiring is concentrated in: data (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Coursera hiring AI talent?

    Coursera is hiring AI talent in: India (1 role).

  • What technologies does Coursera's AI team work with?

    Job postings at Coursera most frequently reference: synthetic data, agent orchestration, evals.

  • How many AI roles has Coursera posted recently?

    In the past 30 days, Coursera has posted 2 new AI-related roles.

Jobs (6)

0 AI · 7 total active
FilteredFunctionEngineering×
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Active onlyAI only (≥ 7)
Stage
AllData · 1Ship · 1
Function
AllProduct · 20Engineering · 6
Country
AllUnited States · 14India · 8Canada · 3
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TitleStageFunctionLocationFirst seenAI score
Staff Analytics Engineer
Staff Analytics Engineer at Coursera, focusing on building robust data pipelines and models to support analytics, AI, and machine learning initiatives. The role involves architecting data pipelines, leading data modeling strategies, and driving data governance. Collaboration with data scientists and stakeholders is key, with an emphasis on developing self-serve analytics products and incorporating AI-driven capabilities into data frameworks. Experience with data lake architecture, batch/streaming, and data observability is required.
—EngineeringUnited States1w ago5
Senior Data Scientist
Senior Data Scientist at Coursera focused on data-driven decision making and data-powered products in the education sector. The role involves product experimentation, causal inference, decision science, and machine learning to shape learner experiences. Key responsibilities include designing and analyzing experiments, building statistical and ML models, and applying psychometric methods to measure learning outcomes. The role leverages GenAI tools to accelerate analysis and aims to personalize learning at scale.
ShipEngineeringCanada2w ago5
Senior Director, Internal Audit & SOX
Senior Director, Internal Audit & SOX role at Coursera, focusing on overseeing and monitoring the company's internal control environment from both IT and business process perspectives. Responsibilities include developing audit plans, managing SOX compliance, leading audit engagements, and advising management on risk management.
—EngineeringUnited States1w ago0
Senior Treasury Analyst
This role supports global cash management, treasury operations, and financial infrastructure integration for Coursera, a large online learning platform. It involves partnering with Product, Engineering, Accounting, FP&A, and Tax teams on payment systems, treasury transformation, and global financial operations, with a focus on scalable processes and risk management.
—EngineeringUnited States2w ago0
Stock Compensation Accountant
This role is for a Stock Compensation Accountant at Coursera, responsible for the administration of global employee equity programs. The accountant will process transactions like option exercises and RSU releases, manage equity grants, and ensure SOX compliance. They will also prepare SEC filings and communicate with employees about equity awards. The role requires experience in stock plan administration, public companies, and specific equity systems, with preferred qualifications in accounting and global equity management.
—EngineeringUnited StatesApr 140
Content Ingestion & Transformation Specialist
This role supports the ingestion, transformation, and launch of partner content on the Coursera platform. Responsibilities include executing ingestion workflows, developing and running UAT/QA test cases, logging and triaging defects, reconciling errors, and supporting launch readiness. The role requires basic technical literacy, experience with QA/UAT, and strong attention to detail.
—EngineeringIndiaApr 140