Coursera Sourcing

Role Description Analytics Engineering plays a crucial role in building robust and reliable data pipelines and data models that enable data-driven decision-making, powering various analytics, AI, and machine learning initiatives within Coursera. In addition, Analytics Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. As a Staff Analytics Engineer, you will be architecting high quality and scalable data pipelines powering business critical applications, leading enterprise wide data modeling strategies and driving a culture of transparent, well-governed data systems. You will collaborate with both technical and cross-functional leaders to lead and set direction on how we craft and look at data, while driving industry accepted standards on data governance, discoverability, and accessibility. You will craft technical decisions and design trade-offs to ensure we can speedily deliver on ambitious, innovative goals while building the foundations for extension and scale in years to come. Responsibilities - Architect scalable data models and construct high quality ELT pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, and Sigma. - Design, build, and launch self-serve analytics products from data consumption to data discovery and enablement. - Be a technical leader for the team, inspiring others with your proficiency in technical and architectural designs for major team initiatives. - Be a data leader for the business, increasing data literacy and resolving data gaps. - Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. - Develop new tools and frameworks in collaboration with other engineers to enhance data access and efficiency. Qualifications - 10+ years experience in data/analytics engineering with expertise in data architecture, pipelines, and reporting. - Expert experience with relational databases, DRY data modeling practices, and efficient SQL code generation. - Expert experience with some of: AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub; Databricks and dbt preferred. - Expert experience with crafting and driving self service reporting solutions with hands on experience in BI Tools; Looker or Sigma preferred. - Strong experience implementing Data Observability frameworks (e.g., Monte Carlo, Great Expectations) at an enterprise level. - Strong hands on experience with AI tools such as Claude, Gemini, Cursor and its role in streamlining data processing and enabling data democratization. - Strong experience with data lake architecture and batch and streaming architectures. - Strong experience in driving industry standards in data governance and technical best practices. - Strong ability to communicate technical concepts clearly and concisely to leadership. - Proven relationships with business end users with clear understanding of how data is used to power business decisions. - Independence and passion for innovation and learning new technologies. Preferred Qualifications - Strong Experience leading cross-functional RFCs (Request for Comments) and driving technical standards across multiple engineering pods or business disciplines. - Strong experience with data lake architecture and batch and streaming architectures. - Proven track record building feature stores or data pipelines specifically for LLM fine-tuning and RAG architectures. - Strong track record of leadership and mentorship in elevating data culture, preferably in a remote environment. Compensation / Location At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. - This role is only available for hire in [insert location] - US Zone 1: $188,000 - $235,000 - US Zone 2: $182,000 - $228,000 - US Zone 3: $167,000 - $209,000 - US Zone 4: $156,000 - $195,000

Role Description As the Vice President of Product Management at Coursera, you will play a pivotal role in shaping the learner journey from onboarding through renewal. You will be responsible for creating a cohesive, engaging, and personalized user experience that encourages lifelong learning and builds a strong relationship between learners and the platform. Your leadership will drive key improvements in acquisition, conversion, engagement, and retention metrics. This role requires a visionary leader who can work cross-functionally to design and implement a platform that leverages AI to craft deeply personal learning experiences. You will directly manage a team of 12 Product Managers and need to influence key stakeholders across design, engineering, data, and enterprise functions. Key Responsibilities - Develop and articulate a comprehensive long-term strategic vision that spans the entire learner journey, from initial website interaction through to renewal, ensuring a seamless, engaging, and personalized experience that fosters sustained learner loyalty. - Create and execute innovative strategies for learner acquisition, conversion, and retention, utilizing data-driven insights to optimize the user experience across multiple touchpoints. - Oversee the development and execution of a comprehensive product roadmap, fostering collaboration across product, marketing, engineering, design, and data teams. - Lead and mentor a diverse team of Product Managers, cultivating a high-performance culture that emphasizes growth, promotion, and sustained career development. - Drive the implementation of pricing, packaging, and monetization strategies to boost growth and profitability. - Utilize market and consumer data to inform strategic product decisions, fostering regular feedback mechanisms from users and stakeholders to meet evolving needs. - Oversee the product development lifecycle from ideation to market launch, ensuring successful adoption and iterative improvements based on post-launch analyses. Qualifications - A minimum of 10 years of extensive experience in product management, with a proven track record of spearheading product-led growth initiatives and funnel optimization at a strategic level. - A minimum of 10 years in leadership and management, with a demonstrated history of successfully leading and nurturing teams of product managers, as well as cross-functional teams, with a strong emphasis on fostering a positive, high-performance team culture. - Strong analytical skills, with the ability to analyze complex data sets and identify actionable insights to improve funnel performance. - Excellent communication skills, with the ability to clearly articulate complex ideas and strategies to a variety of stakeholders, both in writing and in presentations. - Expertise in project management methodologies, with experience leading complex, multi-stakeholder initiatives from ideation to launch. - Demonstrated ability to develop and execute on strategic initiatives that have driven significant business growth and customer acquisition through funnel optimization and product enhancements. - Strong product mindset, with a focus on understanding customer needs and using data to design and iterate on product features that drive growth and optimization within the funnel. Preferred Qualifications - Bachelor's degree in a technical field such as computer science, data, engineering, or mathematics, or equivalent work experience in a technical role. Desired Outcomes - Inspire learner engagement and motivation, fostering enduring loyalty to Coursera and supporting learners on their personalized educational journeys. - Establish Coursera as a leader in personalized learning experiences through the strategic application of AI. - Drive significant improvements in paid conversion, retention, and engagement metrics. - Maintain consistent progress and innovation across all user-facing platforms, fostering a seamless and impactful learning experience. Leadership Competencies - Influential Leadership: Demonstrates effective influence across cross-functional teams, including design, engineering, data, and marketing, to drive collaboration and achieve strategic objectives. - Business Acumen: Possesses a strong business orientation with a deep understanding of marketplaces, discovery, and search dynamics, enabling the development of competitive and innovative product strategies. - Innovation: Fosters a culture of innovation by encouraging creative thinking and implementing cutting-edge solutions to enhance the learner experience and product offerings. - Talent Development: Exhibits a proven track record of developing talent and building a high-performance team culture, with a history of cultivating internal promotions and supporting career development success.

Role Description At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We’re looking for an experienced Data Scientist to support decision-making for our content-making partners and innovate how AI tools can help us do this more efficiently. This role will be leveraging the rich data captured over a hundred million learners and thousands of instructors engaging on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Account managers who own the relationship with our content partners and are responsible for helping them grow. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive product and business outcomes. Responsibilities - Create dashboards for tracking business metrics. - Analyze the results of A/B tests on our product experience. - Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations. - Create leverage by enabling stakeholders to better self-serve data on their product area. - Present findings and recommendations to leadership in a clear and concise manner. Qualifications - Background in economics, statistics, data science, computer science, or a related technical field. - 2+ years of experience as a data scientist, data analyst, or business intelligence analyst. - Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau). - Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R). - Excellent communication skills, with the ability to translate complex data findings into actionable insights. Preferred Qualifications - Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows. - 5+ years of experience using data to advise product, marketing, or business teams. - Advanced proficiency with SQL and Python to produce clear and actionable insights. - Familiarity with online education platforms, specifically with platforms like Coursera and Udemy. Compensation Our job titles may span more than one career level. The starting base pay for this role is between $120,000 CAD to $142,000 CAD. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.

Role Description The Marketing team connects the world to lifelong transformative learning and shapes global conversations on the future of education and work. Spanning Growth, Consumer Marketing, Enterprise Marketing, Brand & Creative, the team is focused on expanding Coursera’s reach, attracting new learners and enterprise customers, and building a lifecycle marketing system that supports learners throughout their careers. As a Senior SEO Manager, you will contribute to organic growth by increasing Coursera’s visibility across search engines, AI-powered search experiences, and emerging discovery platforms. You will own and evolve SEO strategy for key areas of Coursera’s platform, collaborating with cross-functional teams to improve discoverability, engagement, and conversion throughout the learner journey. You will act as an SEO subject matter expert, partnering across Marketing, Product, Engineering, and Content to influence strategy and execution. This role requires a balance of strategic thinking and hands-on execution, with an emphasis on scaling impact through content, technical improvements, and cross-functional collaboration. Responsibilities - Define and execute SEO and organic discovery strategies across web, AI search, and emerging platforms for key areas of the Coursera platform. - Prioritize and execute SEO roadmap, driving content, technical, and programmatic SEO initiatives with measurable impact. - Partner with the SEO Content team, organic social, and paid media to optimize and scale discovery, aligned to user intent and business goals. - Act as an SEO subject matter expert, partnering with cross-functional teams to drive adoption of best practices across marketing, product, and content work-streams. - Lead technical SEO initiatives (indexing, site performance, structured data, crawl optimization) and measure impact, partner with Product and Engineering teams to incorporate SEO into platform development, site architecture, and user experience. - Establish reporting to track visibility, traffic, engagement, and conversion, and communicate insights to stakeholders. Qualifications - 7+ years of experience managing SEO programs in-house for large-scale websites, marketplaces, or platforms. - Experience leading technical SEO initiatives in partnership with engineering teams. - Experience using SEO & data platforms (e.g., Google Search Console, Screaming Frog, Ahrefs, Semrush, Looker, Tableau, Google Analytics) to analyze performance and identify opportunities. - Demonstrated history of influencing cross-functional stakeholders and driving measurable impact through SEO initiatives. Preferred Qualifications - Experience optimizing for additional discovery surfaces beyond web search (e.g., app stores, social platforms, or marketplaces). - Experience using AI-driven search tools and methods for analysis and optimization (e.g.: Profound, Promptwatch). - Experience driving SEO strategies for large content catalogs or programmatic page generation. - Experience optimizing international or multi-language websites, including localization strategy and regional search considerations. - Experience partnering with product, content, or growth teams to integrate SEO into roadmaps and workflows. - Experience using data tools or languages (e.g., SQL, Python, BI tools) to support analysis and experimentation. Benefits - Competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. - Comprehensive health and wellness benefits. - Bonus and RSU equity programs. - Global perks designed to help you grow and thrive wherever you are.

Role Description At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We are seeking a highly skilled Senior Data Scientist with deep expertise in product experimentation, causal inference, decision science, and machine learning to join our team. In this role, you will be embedded at the intersection of product development and learning science, partnering directly with product managers, engineers, and learning designers to shape how tens of millions of learners experience Coursera. You will bring statistical rigor and a scientist’s mindset to the hardest measurement and modeling problems we face, and your work will directly determine what gets built and why. A strong differentiator for this role is familiarity with learning analytics and/or psychometric methods. You will help us go beyond simple engagement metrics to measure what learners actually know, how they progress, and whether our interventions genuinely improve outcomes. If you are excited by the scientific challenge of measuring learning itself—not just clicks—this role is for you. Responsibilities - Experimentation & Causal Inference - Design, execute, and analyze A/B and multivariate experiments to evaluate product changes, learning interventions, and personalization strategies. - Apply causal inference techniques (e.g., difference-in-differences, instrumental variables, regression discontinuity) where randomized experiments are not feasible. - Develop robust frameworks for measuring treatment effects, handling interference, and addressing novelty/primacy effects in experimentation. - Partner with product and engineering teams to define success metrics, set experiment guardrails, and ship decisions with confidence. - Decision Science & Advanced Modeling - Build statistical and ML models to support product roadmap decisions, learner segmentation, and personalization at scale. - Apply predictive modeling, survival analysis, and Bayesian inference to understand learner behavior and forecast outcomes. - Develop decision frameworks that weigh trade-offs across multiple business and learning objectives. - Leverage GenAI tools and automation agents to accelerate analysis workflows and scale insight generation. - Learning Analytics & Psychometrics - Apply psychometric methods (e.g., item response theory, latent variable models, reliability and validity analysis) to measure learning outcomes and assessment quality. - Design and evaluate instrumentation strategies that capture meaningful signals of learner knowledge and progress—not just activity. - Partner with curriculum and learning design teams to define and operationalize constructs like mastery, engagement, and skill acquisition. - Design and implement instrumentation strategies for accurate tracking of user interactions and data collection. Qualifications - Bachelor’s or Master’s degree (or PhD) in Economics, Statistics, Computer Science, Cognitive Science, Psychometrics, Educational Measurement, or a related quantitative field. - 7+ years of experience applying data science to product or business problems, with a strong track record of influencing decisions through rigorous analysis. - Expert-level SQL and advanced Python proficiency, including fluency with data manipulation libraries (Pandas, NumPy) and scientific computing (SciPy, Statsmodels, scikit-learn). - Deep applied statistics background: statistical inference, hypothesis testing, causal inference, Bayesian methods, and experimental design. - Demonstrated experience designing and analyzing controlled experiments (A/B tests) at scale, including power analysis, sequential testing, and dealing with violations of standard assumptions. - Experience with ML modeling in production contexts: feature engineering, model validation, bias-variance trade-offs, and model monitoring. - Strong command of data visualization and the ability to translate complex statistical findings into clear, compelling narratives for non-technical audiences. - Excellent written and verbal communication; comfortable presenting to senior leadership and cross-functional stakeholders. Preferred Qualifications - Graduate study of psychometric modeling, item response theory (IRT), latent trait models, or educational measurement in a research or applied context. - Familiarity with learning analytics frameworks: measuring knowledge acquisition, skill development, or learner progression in digital environments. - Experience applying causal inference methods beyond A/B testing (e.g., synthetic control, propensity score matching, uplift modeling). - Background in the educational technology sector, specifically with large-scale online learning environments. - Experience with Airflow, Databricks, and/or Looker for pipeline orchestration and self-serve analytics. - Experience with Amplitude or equivalent product analytics platforms. - Exposure to survival analysis, time-series forecasting, or longitudinal data modeling. Compensation Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,600 CAD to $172,000 CAD. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

Role Description We are looking for an Executive Assistant to the CEO to join Coursera and serve as the primary administrative partner to our CEO and a key operational partner to our Chief of Staff. This role ensures the CEO's time is protected and optimally deployed, the CEO office runs as a well-functioning system, and the executive leadership team has the administrative infrastructure it needs to operate with speed and precision. - Protect and maximize the CEO's time through precision and flawless execution of core administrative responsibilities. - Ensure the CEO office operates as a coordinated, well-run system rather than a collection of independent administrative tasks. - Partner with the Chief of Staff to drive CEO operations and administrative infrastructure. - Build and maintain strong working relationships with internal stakeholders across the organization, treating them as customers and consistently finding solutions that advance their needs alongside the CEO's priorities. - Establish and continuously improve repeatable systems and processes that reduce friction, create predictability, and scale the CEO office's effectiveness over time. - Earn a reputation as a trusted, solution-oriented partner to stakeholders across the organization – accessible, consistent in follow-through, and known for finding paths forward even when competing needs are in tension. Responsibilities - Own the CEO's calendar end-to-end, prioritizing meetings based on strategic importance, protecting focused work time, managing conflicts proactively, and ensuring the CEO is always prepared for what's next. - Plan and manage all CEO travel, events, and logistics, anticipating needs, building contingencies, and executing flawlessly including in last-minute and high-stakes situations. - Manage CEO-related expenses and coordinate with Finance on budget tracking as needed. - Serve as the operational lead across ETeam EAs, maintaining shared norms, aligning on logistics and scheduling decisions, and ensuring the EA network functions as a coordinated system rather than a set of independent supports. - Own the operational setup and logistics for CEO-led recurring cadences, including Business Reviews and Board of Directors meetings. - Manage scheduling, logistics, and operational preparation for E-Team meetings and in-person events, ensuring they run with precision and all participants arrive prepared. - Work across the organization as a collaborative partner, responding to competing requests with a solution orientation and building a reputation for accessibility, follow-through, and trust. Qualifications - 7+ years of experience in an executive support role, including direct support to a C-Suite executive at a public or late-stage private company with 1,500+ employees. - Experience managing complex scheduling, travel, and logistics in a high-stakes, fast-moving environment. - Experience handling highly confidential information with consistent discretion and sound judgment. - Experience coordinating across senior stakeholders, including C-Suite executives, Board members, and external partners. - Experience managing projects from concept through execution, including status tracking, governance, and risk mitigation. - Demonstrated ability to operate proactively and independently, anticipating needs, making decisions, and driving outcomes with minimal supervision. - Clear, direct written and verbal communication skills. Preferred Qualifications - Experience in an ops-oriented EA role with responsibility beyond individual executive support, such as team coordination, EA network lead, or cadence management. - Experience working as part of an operational team with ability to get curious, network, and otherwise “connect dots.” - Experience supporting or coordinating Board of Directors logistics. - Track record of building and improving repeatable administrative systems, processes, and tools. - Comfort operating at high pace with genuinely competing priorities and frequent last-minute demands. - Experience working in a technology company environment with exposure to executive team dynamics and cross-functional coordination. Compensation This role is available in the following US Pay Zone: - US Zone 1: $122,360 - $152,950 At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

Role Description Coursera is seeking a Vice President of Corporate Development to serve as a key strategic lever in accelerating the company’s transformation in the AI era. This is a high-impact role for a well-capitalized, ambitious organization looking to deploy capital thoughtfully and aggressively to expand capabilities, enter new markets, and strengthen its competitive position. Reporting to the CFO and working closely with the CEO and executive leadership team, the VP of Corporate Development will lead the evaluation, negotiation, and execution of strategic transactions, including M&A, investments, and partnerships. This leader is supported by a lean, high-performing team. Responsibilities - Strategic Leadership - Identify and evaluate inorganic growth opportunities aligned with Coursera’s long-term strategy, particularly in AI, enterprise learning, and global expansion. - Partner closely with the CEO, CFO, and Strategic Planning to shape and refine corporate strategy through a corporate development lens. - Translate strategic priorities into actionable deal pipelines. - Deal Execution - Lead end-to-end transaction execution, including sourcing, valuation, structuring, negotiation, diligence, and closing. - Drive complex negotiations with senior executives, founders, and advisors. - Develop and apply a rigorous corporate development framework to assess opportunities and risks. - Cross-Functional Collaboration - Collaborate closely with FP&A, Strategic Planning, Legal, Product, and Business Unit leaders to ensure alignment and execution readiness. - Support integration planning in partnership with internal stakeholders to maximize deal value. - Provide clear, data-driven recommendations to executive leadership and the Board. - Team Leadership - Build, mentor, and lead a small, high-impact corporate development team. - Foster a culture of analytical rigor, speed, and strong judgment. Qualifications - 12+ years of experience in corporate development, investment banking, private equity, or related fields. - Significant experience within a corporate development function, with a strong grasp of corporate development frameworks and best practices. - Proven track record of leading and negotiating end-to-end transactions in a corporate context. - Experience in business development and strategic partnerships strongly preferred. - Demonstrated ability to operate effectively in a fast-paced, high-growth environment. - Strong financial modeling, valuation, and strategic analysis skills. - Exceptional communication and executive presence, with experience engaging C-level stakeholders and Boards. - Experience in technology, edtech, or AI-related sectors. Requirements - Salary range: $300K - $350K base + bonus + equity. - A number of factors are taken into account when determining pay, which includes: job level, location, training/education, business need, skill set and internal equity. Benefits - For more information about how Coursera collects and uses your personal information, please see our Global Applicant Privacy Notice. - To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. - We do not accept resumes via email or social media; please submit all applications directly through our careers page. - If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. - If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at recruiting@coursera.org.

Role Description This role leads a team of Product Managers owning capabilities fundamental to the Coursera consumer and enterprise learner experiences across skills and verification capabilities. These include the skills, careers and mastery taxonomies, various forms of assessments and diagnostics, and integrity checks. The Director of PM is a player/coach who sets product strategy, prioritizes the highest-impact opportunities, and partners closely with Engineering, Design, Data, and Growth to ship consumer and enterprise learner-facing experiences at scale. This role also brings a practical approach to using AI—applying personalization, recommendations, and adaptive experiences to improve how learners discover, engage with, and complete content. Within the broader org, this role connects content, platform capabilities, and skills and verification functionality into a cohesive learner experience that continues to improve over time. Responsibilities - Define and drive the product strategy and roadmap for the Skills & Verification product group which comprises the Skills & Credentials, Assessments, and Integrity & Grading teams. - Lead and develop a team of Product Managers, setting clear priorities advancing Coursera’s skills mastery and verification solutions. - Partner closely with peer product organizations developing adaptive learning and interactive practice solutions as well as the broader Content and Teaching & Learning organizations. - Own key metrics and identify opportunities to improve enrollment, depth of engagement, and long-term retention across web and mobile. - Partner with Engineering, Design, Data, Growth, and Marketing to deliver high-impact, experiment-driven product initiatives. - Evolve a rigorous experimentation framework (A/B testing, cohort analysis, behavioral insights) to inform prioritization and investment decisions. - Integrate AI-driven features such as personalization, recommendations, and adaptive experiences to improve learner outcomes. - Identify opportunities to replace manual or static experiences with AI-driven solutions that scale without increasing operational overhead. - Align cross-functional stakeholders around a clear learner-first vision while ensuring measurable business impact. Qualifications - 7+ years of product management experience shipping consumer-facing digital products. - 3+ years of experience managing Product Managers or leading cross-functional teams through influence. - Exposure to both consumer and enterprise learner markets. - Demonstrated history of owning and improving measurable metrics such as activation, engagement, retention, or conversion. - Experience leading cross-functional initiatives with Engineering, Design, and Data partners from strategy through execution. - Experience developing product roadmaps and translating strategy into shipped features. - Strong foundation in experimentation methodologies, including A/B testing and data-driven product iteration. - Experience applying AI/ML (e.g., LLMs, recommendation systems) to shipped product experiences such as personalization, content generation, or workflow automation. - Comfort using AI tools in day-to-day product development (e.g., prototyping, analysis, or content iteration). Preferred Qualifications - Experience working on consumer marketplace, subscription, or growth-stage technology products. - Experience optimizing multi-step user funnels across web and mobile platforms. - Background in education technology, content platforms, or mission-driven consumer products. - Experience with assessment generation, quizzes, questions banks as well as integrity solutions such as Turnitin and Honorlock. - Ability to rethink traditional product experiences using new capabilities (including AI), rather than defaulting to existing patterns. - Experience operating in ambiguous, 0-to-1 environments and building systems that scale efficiently. - Passion for expanding access to education and improving global learner outcomes. Compensation This role is available in the following US Pay Zones: - US Zone 1: $249,050 – $293,000 - US Zone 2: $238,000 – $280,000 - US Zone 3: $221,000 – $260,000 - US Zone 4: $205,700 – $242,000 At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.