Engineering Manager

Engineering Manager, AI Conversation Platform

Stripe

ENGINEERING MANAGER, AI CONVERSATION PLATFORM 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. WHAT YOU’LL DO RESPONSIBILITIES * Driving an ambitious vision for AI/ML that benefits our users * Setting the technical & process direction for the team based on business goals * Brainstorm and coordinate product integrations with partner teams * Proposing new ideas and building prototypes * Be an integral part of a larger ML community internally & externally * Hire & develop a world-class team to deliver high-quality ML systems. * Coach engineers to help them grow in their careers and maintain a high bar WHO YOU ARE We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 4 years of experience managing ML teams * Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. * Lead by example in high-growth, high-impact, ambiguous environments * Have experience building & shipping ML systems. * Hold yourself and others to a high bar when working with production systems. * Thrive in a collaborative cross-functional environment PREFERRED QUALIFICATIONS  * Experience in shipping LLM & RAG systems

ML Engineer Manager, AI Conversation Platform

Stripe

ENGINEERING MANAGER, AI CONVERSATION PLATFORM 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 newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. WHAT YOU’LL DO RESPONSIBILITIES * Driving an ambitious vision for AI/ML that benefits our users * Setting the technical & process direction for the team based on business goals * Brainstorm and coordinate product integrations with partner teams * Proposing new ideas and building prototypes * Be an integral part of a larger ML community internally & externally * Hire & develop a world-class team to deliver high-quality ML systems. * Coach engineers to help them grow in their careers and maintain a high bar WHO YOU ARE We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 4 years of experience managing ML teams * Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. * Lead by example in high-growth, high-impact, ambiguous environments * Have experience building & shipping ML systems. * Hold yourself and others to a high bar when working with production systems. * Thrive in a collaborative cross-functional environment PREFERRED QUALIFICATIONS  * Experience in shipping LLM & RAG systems

Engineering Manager, Performance & Resilience (Auth0)

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Engineering Opportunity Reporting to the Director of Quality & Performance, this role as Engineering Manager of Performance & Resilience will drive performance and resiliency improvements for the Auth0 product at Okta. Here you'll be working with some of the most advanced technology in the space, helping to streamline and secure billions of access requests a year. In this role, you will work closely with architects, platform team members, and product engineers to build the testing infrastructure that keeps Auth0 performant at scale — including the frameworks, tooling, and realistic datasets that make that testing meaningful. The ideal candidate is passionate about software quality and architecture, a self-starter, intellectually curious, and brings deep experience with performance testing, load testing frameworks, dataset generation, performance analysis, monitoring tooling, and chaos engineering. What you’ll be doing  * Collaborate with architects, tech lead, product owners, security and operations engineers to implement best practices related to performance and resiliency                                                     * Communicate and organize cross-team projects with high business impact * Contribute to defining the strategic direction and roadmap for the team      * Own the evolution of the team's load testing framework — driving improvements in modularity, reusability, scalability, and developer experience so the framework can support the breadth of Auth0's services                  * Lead the strategy and execution for test dataset generation, ensuring load and performance tests use realistic, representative data that accurately reflects production traffic patterns and user behaviors                      * Use existing monitoring tools to identify problems and resolve and/or escalate to service teams                                                      * Develop backend frameworks and tools for the entire engineering organization to use at scale                                                               * Participate in the incident RCA process to continuously improve how we test * Provide technical guidance to engineers on the performance team within the quality domain                                                                 * Manage a global team including setting expectations, removing blockers, creating a collaborative working environment, hiring, and providing coaching and career development   What we are looking for * Experienced in stakeholder management including alignment, prioritization, communication, and receiving and incorporating feedback      * Adaptable to changing requirements with the ability to manage a team through a pivot in priorities                                                         * Prior management experience of a globally diverse team                     * Experience designing or significantly improving load testing frameworks (e.g. k6, Gatling, Locust, or similar) — including extensibility, test data management, and CI/CD integration                                              * Hands-on experience with test dataset generation strategies, including synthetic data generation, data masking/anonymization of production data, and building datasets that reflect realistic load distributions                  * Experience using APM tools, observability tools, or prior experience analyzing distributed systems performance bottlenecks                          * Experience with software architecture across the entire stack (design and implementation), including:                                                    * Understanding of microservices                           * Cloud Infrastructure experience (AWS, Azure, GCP)                          * Datastores (SQL, NoSQL, Key/Value)                                      * Containers (Docker, K8s)                                                   * Solid understanding of the JavaScript ecosystem (NodeJS and/or TypeScript)   * Experience with Chaos Engineering tooling (e.g. Chaos Toolkit, Gremlin, AWS, FIS, etc.)                                                                     * Experience with Cloud-based Infrastructure as a Service (especially AWS)   #LI-HYBRID #LI-SH1 P-1555_3466651 Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can. The annual base salary range for this position for candidates located in Canada is between: $146,000—$201,300 CAD The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.