Design, build and maintain scalable data pipelines and architectures. Implement data lake solutions on cloud platforms. Develop and manage noSQL databases and work with big data technologies. Ensure data quality, integrity and security.

Design and implement AI prompts for enterprise solutions, evaluate outputs at scale, collaborate with engineering teams on LLM applications, and discover novel prompting techniques to enhance automation capabilities.

Deliver actionable insights on fundraising campaigns, develop key performance indicators, collaborate on revenue forecasting, and ensure data quality through peer reviews to support strategic fundraising initiatives.

Analyze user queries and search logs to identify improvement opportunities, design improvements to search engine algorithms, perform A/B testing, and collaborate with data scientists to enhance search functionality and optimize SEO strategies.

Design and specify new features, engage with upstream communities, conduct security analysis, create and monitor performance benchmarks, collaborate proactively with a distributed team, write high-quality code, and review code produced by other engineers.

Design and implement well-tested and well-documented software in Rust. Advocate for Rust adoption in Canonical and upstream projects. Identify projects and codebases that could be prioritized for Rust adoption.

Manage team of engineers and leads, collaborate with departments, provide technical leadership, manage execution and delivery, manage people, ensure team health and knowledge sharing, onboard new members, measure velocity and quality of contributions.

Set and manage expectations with other engineering teams, management, and external stakeholders. Advocate and advance modern, agile software development practices. Develop and evangelize great engineering and organizational practices.

Lead a team building scalable data solutions for Kubernetes and cloud machines. Hire, mentor, and provide feedback to team members. Demonstrate sound engineering skills by contributing code when needed.

Partner with cross-functional teams to design and analyze product features, conduct quantitative analysis to influence decisions, and identify trends to drive growth and retention initiatives through data-driven insights.

Develop end-to-end data analytics and MLOps solutions using Python and Kubernetes. Collaborate with a distributed team to design, build, and maintain solutions deployed on public/private clouds. Debug issues and contribute to the open-source community.

Analyze operational processes, identify inefficiencies, develop data-driven strategies to streamline operations, reduce costs, conduct risk assessments, identify potential areas of operational risk, and analyze market trends to identify growth...

Lead analytics engineering initiatives, develop robust data pipelines, create user-friendly tools for cross-functional teams, and mentor data analysts to foster a data-driven culture and enhance data accessibility across the organization.

Architect cloud infrastructure solutions, design and publish joint reference architectures, and perform technical validations with various partners. Help partners to offer and architect joint solutions utilizing the company's technologies on top of t..

Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. Deliver solutions either on-premise or in public cloud. Collect customer business requirements and advise them on Ubuntu and relevant open source applications.

Architect cloud solutions, publish reference architectures, validate partner solutions and offer joint solutions. Requires extensive experience with Linux, Python and bash understanding, and excellent communication skills.

Developer Relations Engineer responsibilities include participating in product meetings, maintaining conversations with the developer community, solving technical problems, and contributing to technical documentation for better developer experiences.

Design, develop, and maintain SQL data warehouses while optimizing stored procedures. Build reports and dashboards for actionable insights, and manage data pipelines for seamless integration and automation.

Lead a team of 8-15 Data Stewards, grow and develop team members, deliver on team targets, design and optimize processes, work with product manager, and support ad-hoc tasks. Strong interest in people management and process-oriented mindset required.

Build and execute a territory plan, allocate territories and accounts to sales representatives, identify and prioritize new logo accounts, monitor pipeline development, support contract closure, and represent the company and its solutions.

Develop and automate infrastructure features of data platforms, collaborate with a distributed team, write high-quality Python code, debug issues and interact with upstream communities publicly, and work with experts in many fields.

Collaborate proactively with an internationally distributed team. Write high-quality Python code to create new features. Debug issues and interact with upstream communities publicly. Work with helpful and talented engineers including experts in a div..

Lead product analytics, data engineers, ML, and UX-researchers teams. Utilize mathematical statistics, digital marketing, and machine learning knowledge. Drive data-driven decisions and strategies for product improvement.

Design, build, and maintain a scalable and robust Data Platform. Extend proprietary Data Platform SDK and data infrastructure/pipelines. Implement cutting-edge solutions to improve automated data governance and data quality frameworks.

Drive software performance and correctness in a specific project. Collaborate globally, work on shared tools and infrastructure for performance measurement, teach and develop skills in the team, and review code and technical designs.

Localize English Science videos into Hindi, review and edit content for quality, gather feedback from teachers, and ensure accurate representation of source material while maintaining educational standards.

Lead the design and development of data architectures and pipelines, collaborate with cross-functional teams to meet compliance needs, and enforce data governance policies to ensure data integrity and security.

Define, build, and maintain reporting to monitor performance of paid and organic media efforts. Drive actionable insights and recommendations. Use Python, SQL, dbt, and Power BI to create and maintain analytical infrastructure. Drive analysis of...

Design and implement complex Salesforce solutions, collaborate with stakeholders to align strategies, manage end-to-end project delivery, and maintain solution architecture to enhance organizational efficiency and scalability.

Manage and optimize customer feedback collection, analyze data for actionable insights, support projects related to customer experience, and prepare updates for business leaders to enhance overall customer satisfaction.

Lead and optimize data engineering functions, oversee the development of scalable data systems, manage complex projects, and ensure data quality and security while collaborating with cross-functional teams to align with business objectives.

Lead a team of analysts to provide mission-specific knowledge and support project management, data analytics, and stakeholder collaboration while ensuring adherence to compliance and quality standards in deliverables.

Analyze data to inform business strategy, develop reporting frameworks, and create dashboards that enhance decision-making and customer support. Collaborate with teams to identify trends and improve product development for educational applications.

Map, clean, and organize CRM data while collaborating with teams to ensure alignment with business objectives. Analyze and manage data quality, supporting best practices for data migration and integration between systems.

Manage multiple projects by tracking progress and developing process improvements. Foster client relationships, ensuring satisfaction and effective communication. Lead and develop a remote team while supporting new business initiatives and innovation...

Design and revise course content for Data Science, create engaging learning activities, align curriculum with learning outcomes, and collaborate with the development team to ensure adherence to educational principles throughout the course development...

Define and execute the vision for search relevance, collaborate with engineering teams to design impactful features, own the roadmapping process, and align cross-functional teams to enhance user experiences.

Lead the development and optimization of AI-driven product experiences, collaborating with cross-functional teams to deliver innovative solutions that enhance learner experiences and drive measurable outcomes. Utilize data analytics to monitor...

Lead product strategy aligned with company goals, collaborate with cross-functional teams to define requirements, prioritize features, and ensure timely delivery of high-quality solutions. Serve as primary contact for internal stakeholders, define...

Design and support the next generation experimentation platform, collaborate with stakeholders to ensure accurate experiment execution, and influence product telemetry practices to enhance experimentation needs.

Lead the Marketing Spend Intelligence initiative by collaborating with cross-functional teams, managing product lifecycle, and optimizing marketing strategies to drive growth while ensuring effective communication and alignment with stakeholders.

Champion product strategy and roadmap while collaborating with cross-functional teams. Leverage customer feedback and analytics to inform product development, ensuring a customer-centric approach in driving initiatives and tracking performance against...

Manage technical collaboration with data science and machine learning engineers, ensure seamless integration of existing ad infrastructure, communicate with stakeholders, make data-driven decisions, and stay ahead of industry trends in the advertisin..

Define and own the vision and strategy for app promotion ads, gather insights to create innovative ad products, and lead cross-functional teams to drive successful execution and alignment across the organization.

Review assessment questions for accuracy, clarity, multiple solution paths, difficulty level, and relevance. Provide detailed feedback on improvements. Collaborate on question refinement. Work independently and meet deadlines.

Develop and implement advanced statistical and machine learning models to uncover patterns, trends, and predictions. Collaborate with cross-functional teams to drive new initiatives using the latest advancements in ML and optimize ML models to meet...

Design and enhance machine learning inference services, facilitate access to necessary development tools, and develop prototypes to promote new technologies while influencing team culture within a growing environment.

Design and enhance ML inference services, facilitate access to necessary tools for modelers, develop prototypes to promote new technologies, and influence team culture within a growing financial crimes technology team.

Develop and implement data-driven pricing strategies to enhance profitability and rider engagement, manage key pricing metrics, and collaborate with cross-functional teams to optimize pricing programs and share best practices globally.