Operations Manager, Stripe Delivery Centre

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Customer Success (CS) team at Stripe supports revenue growth across GTM by helping a broad book of users activate, grow, and maximize their performance on Stripe. This team, part of the Customer Success Organization, leads the charge in using data to inform strategic decisions and enhance operations across the company. We excel in pinpointing new opportunities, optimizing processes, and executing impactful projects at the team level. By crafting reusable data products and upholding high data standards, we deliver consistent and excellent results. Our role requires close collaboration with cross-functional partners to develop sustainable metrics and data models with long-term value. Combining payment expertise with technical skills, we manage data pipelines and maintain key analytics assets, simplifying complex technical concepts for diverse stakeholders. WHAT YOU'LL DO In this role, you'll spearhead innovation by identifying transformative opportunities and developing scalable data solutions. You'll optimize data infrastructure and align initiatives with strategic goals, fostering collaboration across teams. By promoting a data-driven culture and building strong partnerships, you'll ensure sustainable growth and informed decision-making throughout the Customer Success and Paid Support Organization. You're also instrumental in building datasets and tools that enable externally facing Stripe employees to deliver tailored content to their customers. RESPONSIBILITIES * Identify and scope new opportunities, processes, and projects that have team-level impact * Create reusable data products (dashboards, data models, code) that set high standards for future projects and for other analysts across the organization * Assist in developing the team's data pipelines and performance workbooks by leveraging both your expertise in payments and technical skills. This involves building metrics pipelines, writing code, and being proficient with SQL * Set priorities for the Customer Success team's technical and data opportunities, secure partner buy-in, and manage reprioritization as needed * Develop vertical agents that solve the Customer Success teams' most manual or repetitive tasks * Maintain analytics assets owned by the team, such as metric definitions, technical documentation, query libraries, and other tooling * Act as a resource to the team and broader business on the technical complexity of Customer Success datasets, communicating concepts clearly to cross-functional partners and stakeholders WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 3–8+ years of experience in Data Analysis, Business Intelligence Engineering, or Technical Customer Advisory roles * Expertise in data visualization and using data insights to make recommendations * Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights * Familiarity with card payments ecosystem * Proven ability to manage multiple projects, communicate results clearly to diverse stakeholders, and drive business outcomes independently in a fast-moving environment PREFERRED QUALIFICATIONS * Proficiency in SQL (advanced), Python, and git (intermediate) * Data visualization, dashboard building, modeling, and reporting automation

Databricks

CSQ127R179 MISSION The Manager (Data & AI) for Technical Solutions Engineering will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.  This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.  This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.  You will be able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals. THE IMPACT YOU WILL HAVE: * Serve as the Tech Solutions Manager for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours. * Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads. * Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required. * Partner with internal product engineering teams to make Databricks products better and more supportable. * Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals. COMPETENCIES & REQUIREMENTS * Proven people leadership experience: at least 3+ years as a manager  * 12+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience. * Experience leading teams either in engineering, technical support, or consulting.  Support experience is not required - but customer facing experience is highly desirable. * Hands-on experience in at least two of the following at production scale: * Big Data (Spark, Hadoop, Kafka) * Machine Learning / Artificial Intelligence projects * Data Science / Streaming use cases * Spark expertise is a big advantage. * Strong background in customer-facing support leadership roles. * Excellent troubleshooting skills across distributed systems. * Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs. * Bachelor’s/Master’s in Computer Science or equivalent technical field. 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

CSQ426R137 Databricks is looking for a Senior Technical Solutions Manager to grow, lead and manage the Technical solutions engineers and support teams in India. The Senior Technical Solutions Manager is responsible for building and managing a regional team of technical experts focused on resolving highly complex and long-running support tickets raised by Databricks customers while overseeing the Support operations. Impact you will have: * Build and manage a team of Technical Solution Engineers * Provide coaching and mentorship to the engineers * Identify and implement process improvements to meet or exceed regional performance KPIs. * Establish training plans and subject matter expertise within the team. * Drive support escalations  and establish cross-functional collaboration to manage and resolve issues. * Be a player-coach and provide technical leadership to the regional support team. * Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform. * Define quarterly goals and track them to completion to drive team growth and personal development. * Scale the organization by developing processes and guidelines that promote operational efficiency * Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues. * Perform risk assessments and be a hands-on leader   What we are looking for: * Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining * Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers  * Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark™ in a technical capacity * Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers. * Excellent analytical and troubleshooting skills. * Excellent customer facing, verbal and written communication skills * A team-oriented attitude and a high degree of comfort working in a startup environment * Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is preferred   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.