Manager - Tech Solutions (Big Data / AI)

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 As Stripe’s user base and global footprint grows dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams. What you’ll do Stripe is launching Stripe Delivery Centers - a new global team to design, implement and grow Stripe’s operations for the next decade. We are looking for dynamic and curious people that have a passion for solving global user issues, building operations, driving process improvements and that want to play a front-line role in building this new operational capability for Stripe and accelerating Stripe’s growth. In this role, you will recruit, manage, and develop a group of Operations Associates that are focused on user support. This person will cultivate the happiness of their team members while guiding them to be the best they can be, through feedback, coaching, mentoring, and advocacy within the organization. This means helping to set team goals, and using metrics to efficiently measure and guide team performance in pursuit of those goals. To be a fit, you will have a strong operations mindset, be able to move quickly, and be passionate about delivering an incredible user experience.  Responsibilities * Recruit, manage, coach, and develop a new team of in-office Operations Associates  * Drive strong operational delivery and process improvement helping to mitigate risk while balancing operational efficiency and user impact * Identify gaps in current systems, policies and strategies, and recommend enhancements and process improvements to mitigate risks * Build a great culture and ensure team members are happy, effective, and growing in their career * Set clear goals and direction, and provide regular feedback on team members’ performance * Be data-driven in your analysis of performance, and in your decision making * Transmit and foster our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment 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 * At least 8+ years experience leading operations support teams * Experience working cross-functionally with multiple teams to deliver high impact initiatives  * Experience in delivering weekly and monthly business metrics and reporting * Excellent written and verbal communication skills * An ability to partner effectively with internal stakeholders * Background of identifying and remediating quality gaps in team performance * Passion for process improvement and innovation * Ability to periodically work a weekend day for which you will receive a weekday off; the SDC operates during daytime hours with shifts from the morning through early evening Preferred qualifications  * Experience in building and scaling new teams from zero  * Strong operational background including experience with new process launches and service delivery in a high growth technology company

P-1377 MISSION As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform.  You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving.  You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue.  TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks.  Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. THE IMPACT YOU WILL HAVE * Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.  * Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. * Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. * Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering. * Collaborate with internal teams to influence roadmap, product improvements and support business growth. * Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners. What We Look For 8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. * SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning, along with NLP techniques. * Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations. * Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging. * Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus.  * Prior support or customer-facing experience is not required for this role, but the ability and desire to develop excellent customer service skills are.  * Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued. * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications are good to have.   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.