Analytics Lead, Full Stack (Collections & Recoveries)

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Revenue team The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products. About the Role We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments. The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations. What You’ll Do Optimize decisions and execution with analyses, and communicate to internal and external partners Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution Scale impact Sta

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Marketplace and App Experience domain is the main pillar of our core consumer strategy, driving the user journey across all of our frontend surfaces: Mobile and Web. The teams span across multiple products and areas to engage and provide value to our customers, starting with the Home hub in the app or website, which expands into the various product offers and journeys a user can embark on with Affirm. This role will be at the forefront of our front-end facing cross-team projects, working closely with other teams and engineers across our mobile and web technologies, while also evolving and collaborating with every product experience team at Affirm. What You'll Do · With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For · You have a total of 1.5+ years of experience as a software engineer. · You have experience shipping web apps using declarative UI frameworks like React or Vue · You have experience shipping mobile apps using native or cross-platform languages like React Native · You have

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Consumer Growth Experience Engineering (CGX) builds the platforms and end-to-end experiences that power Affirm’s consumer growth across push, email, app, and web. We own the core engagement surfaces and systems that help customers discover value, onboard seamlessly, and take confident next steps by using personalization, segmentation, and experimentation to deliver the right experience at the right moment. Our work sits at the intersection of product, analytics, design, platform, and growth. We focus on building scalable, reliable tooling and consumer experiences that enable rapid go-to-market, improve conversion and activation, and grow long-term customer value. If you’re excited about shaping high-impact consumer journeys, solving ambiguous growth problems, and turning strategy into measurable outcomes at scale, CGX is the team for you. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics, participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology, or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” and on-call efforts. You will foster a culture of quality and ownership by setting or improving code review and design standards for your team, and advocating for them beyond

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. About the Role: Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the automation and technology stack that powers our localization team. This is a hands-on role for an experienced technical expert who is passionate about building robust, scalable systems. You will leverage your deep expertise in APIs, AI, and internationalization to solve complex technical challenges and drive efficiency. As a subject matter expert, you will also act as a key technical consultant to internal teams, helping them prepare content for a global audience. What you'll be doing: Build and Own the Localization Automation Framework: Design, develop, and maintain the core automation workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal tools. Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality, speed, and cost-effectiveness of our workflows. Provide Technical Oversight and Systems Integrity: Act as the authority for resolving high-impact architectural failures. Conduct deep-dive root cause analysis on complex integration issues, file parsing conflicts, and system-wide bottlenecks to ensure uninterrupte

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Lead DFT Engineer Job Description: Developing silicon for edge-to-cloud computing isn't just about speed; it’s about balancing high-performance data processing with extreme power efficiency and reliability in remote environments. As the Design for Test (DFT) Lead, you will be the architect of our testing strategy, ensuring our data center chips are flawlessly manufacturable and resilient enough for edge deployment. Key Responsibilities: Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan and MBIST. Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers. Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Memory /Logic BIST. Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact as well as timing analysis . Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time. Technical Requirements: Experience: 12+ years in DFT, with at least 2 years in a leadership or principal role. Bachelor’s degree in a related field. Tools:

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti