Product & Pricing Principal

Udemy

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. Read more about the combined company by visiting our blog. About Udemy Udemy is an AI-powered skills acceleration platform transforming how companies and individuals across the world build the capabilities needed to thrive in a rapidly evolving workplace. By combining on-demand, multi-language content with real-time innovation, Udemy delivers personalized experiences that empower organizations to scale workforce development and help individuals build the technical, business, and soft skills most relevant to their careers. Today, thousands of companies, including Samsung SDS America, On24, Tata Consultancy Services, The World Bank, and Volkswagen, rely on Udemy Business for its enterprise solutions to build agile, future-ready teams. Udemy is headquartered in San Francisco, with hubs across the United States, Australia, India, Ireland, Mexico, and Türkiye. Udemy recently combined with Coursera to create one of the world’s most comprehensive skills development platforms. Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is a hybrid position. About this role This is a senior in-house legal role for a commercially driven lawyer ready to take meaningful ownership of a high-profile deal portfolio at the intersection of enterprise growth and platform strategy. The role reports directly to the Head of Commercial and Strategic Growth Legal.   We operate a hybrid go-to-market model that combines demand-led direct sales, solution-led growth, and indirect distribution through a tiered partner and channel ecosystem. We reach organizations globally through technology alliances, GSI relationships, channel partners, and reseller arrangements — powering learning and capability-building at scale. Legal sits at the center of all three motions.   You will be a dedicated legal partner for B2B Enterprise, Technology Alliances, and Channel and Distribution Partnerships, supporting the development and negotiation of the indirect partner ecosystem that underpins our scalable distribution. This is a role for someone who combines deep transactional expertise with strong business instincts, operates with a high degree of independence, and is ready to grow into broader leadership responsibility within a scaling legal function. About your skills * Exceptional business judgement and a proven ability to balance legal risk with commercial objectives in fast-moving deal environments. * Executive-level communication skills: able to distill complex issues into clear, actionable guidance and influence stakeholders from SMB to large enterprise and C-suite. * A track record of using approved AI tools to increase legal productivity, and staying current on AI governance obligations.   What you’ll be doing   B2B Enterprise, Ecosystems and Technology Transactions * Take primary ownership of drafting, reviewing, and negotiating complex commercial agreements across global system integrator arrangements, channel partner and reseller agreements, technology alliance and co-sell agreements, enterprise SaaS and platform licensing, API and technical integration agreements, and distribution and go-to-market partnerships. * Advise senior business stakeholders, including GTM leadership, and Product teams, on deal structuring, risk allocation, commercial terms, and multi-jurisdictional GTM considerations, serving as the day-to-day legal lead who positions Legal as a genuine business enabler. * Partner with the Product Legal team to develop and refine legal frameworks that support a self-serve and low-touch commercial motion, including API access agreements, developer terms, usage-based licensing structures, and SMB onboarding frameworks, contributing to a standardized, scalable approach that enables businesses to engage and onboard with speed and minimal friction. * Provide clear, solution-focused guidance on AI-related commercial arrangements, data-sharing agreements, and emerging technology implementations as they enter the enterprise deal mix. GTM Product Commercialisation and Third-Party Integration * Act as a primary legal partner for the commercialisation of GTM products, advising on go-to-market structures, route-to-market models, pricing and packaging frameworks, and the legal terms that govern how products are brought to market directly and through third parties. * Draft and negotiate agreements that govern the embedding, bundling, or distribution of our products within third-party platforms, marketplaces, and ecosystems, including white-label arrangements, OEM agreements, co-branded offerings, and platform integration terms. * Advise on licensing boundaries and revenue-sharing constructs as the product suite evolves and is commercialised through an expanding range of direct and indirect channels. * Work closely with Product, Product Legal, Marketing, and Sales to ensure commercial and legal structures keep pace with product development and new route-to-market initiatives, flagging and resolving legal considerations early in the product lifecycle. Frameworks, Templates and Legal Scalability * Own and continuously develop the suite of enterprise and channel contracting templates, playbooks, negotiation guidelines, and approval frameworks used across the partnerships function. * Design scalable legal infrastructure that empowers fast-moving deal teams to execute efficiently while maintaining sound risk controls across both direct and indirect channels. * Partner with Legal Operations on contract management tooling, reporting workflows, and process improvements. * Support the Head of Commercial and Strategic Growth Legal on broader function-building initiatives, team training, and cross-functional policy development. * Risk, Compliance and Cross-Functional Partnership * Embed GDPR and applicable data privacy obligations into enterprise, partner, and platform agreements, working in close coordination with Product Legal, Privacy, and Information Security colleagues. * Collaborate with Finance, Sales Operations, Product, and Procurement on deal economics, commercial policies, product launches, and vendor governance matters. * Track developments across technology regulation, AI law, data protection, and enterprise software contracting, translating these into timely, practical guidance for the business. What you’ll have * Demonstrable experience with API-first or self-serve commercial models including developer terms, usage-based licensing, and SMB onboarding frameworks, and the confidence to lead the design and build-out of the legal infrastructure needed to support organic, low-friction acquisition at scale. * Genuinely commercial in your approach: able to identify and manage risk pragmatically, find workable solutions under pressure, and avoid being a blocker to growth. * An effective communicator and influencer, comfortable advising and challenging senior stakeholders across Sales, Product, and Executive leadership. * Qualified lawyer with 6–9 years of post-qualification experience, including meaningful in-house tenure at a technology, SaaS, or enterprise software company. * A proven track record negotiating complex B2B technology agreements including GSI, channel, reseller, alliance, and enterprise platform deals, ideally within or alongside global organisations. * Demonstrable experience advising on product commercialisation, route-to-market strategy, or third-party distribution and embedding arrangements. * Comfortable operating across both high-touch enterprise deals and high-volume standardised indirect channel frameworks, understanding that each requires a different legal posture. * Highly organised and self-directed, with a demonstrated ability to manage a high-volume deal workload across competing priorities and deadlines with minimal supervision. * A collaborative team player who understands their place in a broader legal function and actively supports those around them, including upward to leadership. * Discreet, professional, and trusted to handle sensitive commercial and strategic information appropriately.       Posting Date: 29 June 2026 Application Window: 6 weeks We anticipate the application window will be open until 10 August 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window. #LI-ST5   WHY WORK HERE? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll build with others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.  OUR BENEFITS START WITH U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.  Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.   At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!    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. Information regarding data privacy is available within the Udemy Careers Privacy Notice.

Databricks

CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ227R88 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.    This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.   The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.