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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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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 (2)

0 AI · 7 total active
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TitleStageFunctionLocationFirst seenAI score
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
Compensation Manager, Global Rewards
This role is for a Compensation Manager at Coursera, a company that heavily utilizes AI in its platform and operations. The manager will be responsible for developing, implementing, and improving global compensation strategies, analyzing market trends, benchmarking data, and providing insights for decision-making. They will partner with HRBPs and senior leaders to align pay practices with the company's mission and values. The role involves conducting market and internal analyses, developing compensation models, advising stakeholders, driving process improvements, administering compensation cycles, and ensuring compliance with legal and regulatory standards. Familiarity with leveraging AI for insights and decision-making is mentioned as a basic qualification, and experience supporting technology and product management functions is preferred.
—ProductUnited States5w ago0