Coursera

Role Description Coursera is seeking a strategic Senior Human Resources Business Partner to support the successful execution of key business priorities during a critical period of organizational integration and transformation. In this role, you will partner closely with business leaders to drive organizational effectiveness, operating model implementation, and cross-functional alignment across the organization. You will serve as a trusted advisor to leadership, ensuring people, processes, and organizational structures are aligned to support growth, efficiency, and realization of strategic objectives. The ideal candidate brings strong business acumen, change management expertise, and experience leading organizations through periods of transformation, integration, and organizational change. Responsibilities - Partner with senior leaders to drive organizational integration, transformation initiatives, and operating model implementation. - Lead people-related aspects of organizational change, including organizational design, workforce planning, change management, and team effectiveness. - Identify organizational risks, execution gaps, and capability needs, and develop solutions that improve business performance and scalability. - Drive cross-functional alignment and collaboration to ensure successful execution of strategic priorities and organizational initiatives. - Coach leaders through periods of change, helping them effectively manage communication, employee engagement, performance, and organizational effectiveness. - Partner with People Team Centers of Excellence to support talent planning, succession planning, compensation, employee engagement, and leadership development initiatives. - Use people analytics and organizational insights to inform decision-making, measure progress, and drive continuous improvement. - Champion Coursera's culture and values while helping leaders navigate ambiguity and organizational complexity. Qualifications - 10+ years of Human Resources experience, including experience as an HR Business Partner supporting senior leaders. - Experience supporting large-scale organizational transformation, integration, restructuring, or operating model changes. - Strong change management, organizational design, and workforce planning capabilities. - Proven ability to influence senior stakeholders and drive alignment across complex organizations. - Experience using data and insights to drive business and people decisions. - Excellent communication, coaching, and stakeholder management skills. Preferred Qualifications - Experience supporting post-merger integration or organizational consolidation efforts. - Experience working in high-growth, fast-paced, or rapidly evolving environments. - Strong organizational development and executive coaching expertise. - Demonstrated ability to balance strategic thinking with hands-on execution and delivery. Company Description Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.

Role Description The Operations Manager, Partner Success Systems will drive operational efficiency and scalability across Coursera’s partner account management ecosystem. This role focuses on process optimization, AI-enhanced automation, and implementing best practices to increase the effectiveness of account management and partner content launch operations. You will play a critical role in equipping the Partner Success team with streamlined processes, actionable insights, and technical solutions to support their collaboration with university and industry partners. By establishing metrics, leading change initiatives, and driving alignment across workflows, you will ensure a high-quality approach to account management. This role provides a unique opportunity to shape Coursera’s partner operations through the fine balance of rigorous program management and technical innovation, directly contributing to our mission of providing access to world-class education for all. Responsibilities - Collaborate closely with key stakeholders in the Partner Success team to translate operational challenges into technical requirements and scalable process improvements. - Identify workflow bottlenecks and implement automated solutions—including leveraging GenAI—to drive efficiency in partner account management and content launches. - Facilitate internal change management initiatives and lead the technical transition to new systems and workflows. - Develop and maintain SOPs, compliance standards, and quality controls to ensure consistent, high-quality partner account management. - Establish and monitor performance metrics to provide data-driven insights that enhance team and partner success. - Manage technical projects from requirements gathering to solution development and success measurement, ensuring alignment across cross-functional teams. Qualifications - 7+ years of experience in business operations, technical program management, or systems-oriented roles, with a proven track record of scaling complex workflows in high-growth environments. - Demonstrated experience architecting and deploying logic-based automations or system improvements from the ground up (e.g., using no-code/low-code tools, CRM customization, or automated workflows). - Strong background in end-to-end project lifecycle management, with the ability to lead high-stakes change initiatives across global, distributed teams. - Hands-on experience with CRM architecture (e.g., Salesforce or HubSpot) and a deep understanding of how to structure data and workflows for scalability. - Ability to use data to identify systemic trends, monitor performance metrics, and drive proactive operational improvements. Preferred Qualifications - Practical experience leveraging Generative AI tools or AI agents to modernize business workflows (e.g., prompt engineering for automated communications, content categorization, or data enrichment). - Proficiency with the "modern ops stack," specifically automation platforms like Zapier, Make.com, or Workato to connect disparate systems. - Familiarity with the nuances of partner account management or managing high-volume university and industry content partnerships. - Experience building intuitive, automated dashboards (e.g., Tableau, Looker, or Salesforce Reports) that empower teams to self-serve insights. - Experience in management consulting, technical advisory, or a "Founding Ops" role where you were responsible for building processes from 0 to 1 is an asset. Company Description

Role Description As a Principal Product Manager, you will play a pivotal role in shaping Coursera’s product vision, delivering exceptional learner and partner experiences, and driving measurable business impact. You will operate at the intersection of strategic thinking and hands-on execution, navigating ambiguity while influencing cross-functional teams. - Customer-Centric Curiosity: Exhibit deep curiosity to understand customers and all elements influencing their experience, offering comprehensive, integrated solutions that address real needs. - Thriving in Ambiguity: Operate effectively in uncertain, fast-changing environments, as often found in startup-like situations. - Balanced Skills vs. Domain Experience: While domain expertise is beneficial, strong intellectual capacity, curiosity, proactiveness, and solid foundational product skills enable quick adaptation even without prior domain exposure. - Strategic & Tactical Agility: Seamlessly switch between defining long-term vision and deep-diving into execution details when required. - IC Excellence: As an individual contributor, comfortably navigate between strategy and execution to deliver impact. - Integrated Experience Design: A track record of designing end-to-end integrated experiences is a strong plus. - Tool Familiarity: Familiarity with tools in the PM space, such as Jira, Figma or generative AI tools, though tool-specific experience is less crucial. - Speed of Innovation: Demonstrates the ability to rapidly prototype, test, and iterate solutions to keep pace with evolving customer needs and emerging technologies. Responsibilities - Define and drive product strategy and own the roadmap for a high priority area of the Coursera platform, such as mobile, AI-powered assessment or agentic enterprise integration. - Translate customer insights and market trends into integrated solutions that can scale to serve millions of learners and customers around the world. - Lead execution from ideation and analysis through development and launch, delivering measurable outcomes. - Partner with Engineering, Design, and Data teams to deliver AI-powered product features and experiences. - Leverage data and customer feedback to inform decisions and continuously improve. - Mentor peers and contribute to building a high-performing product organisation. Qualifications - 8+ years of product management experience, with a meaningful portion in assessment, measurement, or skills validation products. - Experience building, using, or experimenting or shipping AI-powered or LLM-integrated products, including familiarity with LLM-as-judge evaluation methods and their failure modes. - Deep understanding of how skill and competency measurement works — not just completion tracking, but defensible claims of capability. - Demonstrated ability to define rubrics, evaluation frameworks, or structured measurement systems at scale. - Strong external communication skills; able to represent product methodology credibly to enterprise security teams, skeptical customers, and regulatory reviewers. - Proven track record moving quickly in an early-stage or startup-pace environment while maintaining rigor. Nice to haves - Background in or exposure to psychometrics, learning science, industrial-organizational psychology, or talent assessment. - Familiarity with the EU AI Act, particularly high-risk classification implications for AI systems used in employment or skills contexts. - Experience working with SME panels, grader programs, or human-in-the-loop calibration workflows. - Prior work in skills-based hiring platforms or enterprise skills frameworks. - Familiarity with NCME or the broader measurement and assessment professional community. - Experience bridging academic rigor with commercial shipping deadlines. Compensation This role is available in the following US Pay Zones: - US Zone 1: $218,800 – $273,500 USD - US Zone 2: $209,600 – $262,000 USD - US Zone 3: $194,400 – $243,000 USD - US Zone 4: $180,800 – $226,000 USD 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. Keep Learning If this opportunity interests you, you might like these courses on Coursera: - Learning How To Learn - Gen AI for Product Managers

Role Description Coursera seeks a creative and detail-oriented Content Production Manager who loves solving production challenges and organizing complex projects at scale. Content Production Managers are cross-functional catalysts that bring together internal teams, industry stakeholders, and 3rd party production vendors to design and build Coursera’s courses, Specializations, and Professional Certificates. Content Production Managers (CPMs) are responsible for overseeing the timely development and delivery of learning content. CPMs partner closely with Learning Design Consultants, Partner stakeholders, and 3rd party production companies through the entire production process to: - Build project plans and oversee internal stakeholders and third-party production teams. - Manage production projects through a full-project lifecycle. - Create, manage, and own work streams related to developing online learning experiences. - Review statements of work related to establishing project scope and budgets. Qualifications - 4+ years experience in project or program management. - Prior experience teaching, designing, or managing online learning programs. - Demonstrated experience providing excellent customer service to clients in leading industries or major universities. - Prior experience drafting or managing contracts and statements of work. Requirements - PMP or equivalent project management experience. - Advanced degree or professional certifications in education or business. - Experience with learning management systems and ed-tech instructional tools. - Experience in b-corporations or similar social responsibility oriented organizations. - Demonstrated success building new programs and services. - Fearlessness in the face of uncertainty. Benefits - If this opportunity interests you, you might like these courses on Coursera: - Project Planning: Putting It All Together by Google - Project Execution: Running the Project by Google - Leadership through Social Influence by Northwestern University Company Description Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.

Role Description We are seeking an experienced and detail-oriented Payroll Specialist to join our accounting team. This role is responsible for supporting the end-to-end payroll process across multiple countries, primarily in the EMEA and APAC regions. You will play a key role in ensuring timely, accurate, and compliant payroll processing while working closely with internal partners such as HR and Finance, and coordinating with external payroll providers. This is an excellent opportunity to build on your international payroll experience in a fast-paced, collaborative environment. If you're a motivated self-starter who values payroll accuracy, enjoys problem-solving, and is passionate about delivering an exceptional employee experience, this role could be a great next step in your payroll career. Working hours: Ability to overlap working hours with Pacific Standard Time (San Francisco) Responsibilities: - Manage end-to-end processing of international payrolls across multiple countries in coordination with external payroll vendors. - Collect, audit, and submit payroll inputs including employee compensation changes, new hires, terminations, bonuses, and time & attendance data. - Review and validate vendor-prepared payroll reports to ensure accuracy and compliance with local regulations and employment laws. - Reconcile payroll outputs with internal HRIS and accounting systems; ensure proper general ledger coding and journal entries. - Collaborate with People Operations, Equity, Accounting, and Legal teams in the administration of payroll and on payroll-related matters including benefits, taxation, and year-end reporting. - Support employee inquiries and payroll-related projects, including year-end reporting preparation, resolve payroll tax issues, support annual audits and other ad hoc projects. Qualifications - Bachelor’s degree in business administration, accounting, finance, or a related field. - 3+ years of experience processing payroll in EMEA and APAC regions. - Experience working with external vendors in the administration of payroll. - Familiarity with payroll regulations and employee tax requirements in regions such as EMEA and APAC. - Proficiency in Excel and experience with payroll and HRIS systems. Requirements - Experience using Workday and/or EY Payroll Operate Services. - Payroll experience in a global public company (experience with processing of stock transactions). - Strong Excel skills (pivot tables, v-lookups) and proficiency with Google Suite. - Strong written and verbal communication skills, with the ability to interact with employees across all levels. - Ability to work independently and manage multiple priorities in a fast-paced environment. - Familiarity with payroll accounting, including journal entries, reconciliation, and flux analyses. Company Description Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with 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 AI-powered personalized guide and features, like 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. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.

Role Description The Marketing team connects the world to lifelong transformative learning and shapes global conversations on the future of education and work. 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. Company Description Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with 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 enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.

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. - 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. Requirements - 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 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 understanding. 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; seeks out and creates high-impact projects. 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. Benefits - Competitive, zone-based pay aligned to your location, experience, and role level. - Comprehensive health and wellness benefits. - Bonus and RSU equity programs. - Global perks designed to help you grow and thrive. Compensation / Location - 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 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 Join our Treasury team as a Senior Treasury Analyst where you'll support global cash management activities and help drive treasury operations across the organization. This role offers the opportunity to partner closely with Product, Engineering, Accounting, FP&A, and Tax teams on payment infrastructure, treasury transformation, and global financial operations. You’ll play a key role in supporting scalable treasury processes, risk management initiatives, and ongoing integration and optimization efforts. The Treasury team operates in a collaborative model with both shared operational responsibilities and individual areas of ownership to ensure strong global coverage, scalability, and continuity across critical treasury functions. Responsibilities - Support daily cash management activities including cash positioning, forecasting, liquidity planning, and intercompany cash transactions. - Build, maintain, and enhance treasury cash forecast models and reporting processes. - Support foreign subsidiaries and multi-currency operations, including FX management and intercompany settlements. - Partner cross-functionally with Product, Engineering, Accounting, FP&A, and Tax teams on treasury-related implementation projects, payment infrastructure initiatives, new market expansion, and legal entity setup. - Manage banking relationships and payment service provider systems, including account administration, access provisioning, and fee optimization. - Support investment portfolio activities and compliance with treasury and investment policies. - Develop, document, and execute treasury controls and standard operating procedures while supporting SOX compliance initiatives. - Identify process improvement opportunities and support treasury transformation and integration initiatives across the combined organization. - Support administration and renewal of the company’s global insurance programs in coordination with brokers and internal stakeholders. Qualifications - 5+ years of experience in Treasury, Corporate Finance, Banking, or related finance functions with experience supporting global cash management and treasury operations. - Strong analytical and problem-solving skills with advanced Excel modeling capabilities and experience working with complex financial data. - Experience supporting multi-currency operations, liquidity management, and foreign exchange activities in a global organization. - Experience working with banking platforms, payment processors (Stripe, Adyen, PayPal, etc.), and treasury-related systems or financial infrastructure. - Strong organizational skills with the ability to manage multiple priorities and operate effectively in a fast-paced, evolving environment. - Experience supporting process improvement, automation, system implementations, or treasury transformation initiatives. Preferred Qualifications - Familiarity with SOX controls, operational risk management, and treasury policies within a public company or high-growth environment preferred. - CTP (Certified Treasury Professional) certification preferred. Compensation This role is available in the following US Pay Zones: - US Zone 2: $110,075 - $129,500 - US Zone 3: $97,750 - $115,000 - US Zone 4: $90,950 - $107,000 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. US Pay Zones: - US-Z1: Bay Area (within 75 miles) - US-Z2: NYC and Seattle Metro (within 75 miles) - US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA - US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI