• Play a crucial role in achieving Quavo’s vision and delivering successful products to market. • Maintain communication across Account Management to ensure client satisfaction. • Lead and develop the support engineering team including hiring, training, and performance management. • Set goals and objectives for the team utilizing the EOS framework. • Foster a culture of ownership and knowledge reuse. • Mentor team members on product and technical acumen. • Oversee client engagements ensuring high levels of satisfaction. • Develop and implement processes in Jira to streamline support operations. • Act as a liaison between support team and departments for communication facilitation.

• Lead 3-4 workflow teams • Ensure consistent delivery and organizational clarity • Create a culture of accountability and performance • Monitor delivery health and identify systemic risks • Strengthen planning rigor and cross-team alignment

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Fraud Platform team builds out the next generation of Affirm's Fraud Decisioning System. The team has a strong charter and is empowered to imagine, experiment and implement the cutting edge fraud defense solutions. We are looking for a passionate and skilled engineering manager to lead a dynamic team of 6 engineers. You’d have an opportunity to directly drive how equipped Affirm would be when it comes to protecting Affirm and our clients from the bad actors. What You'll Do - Collaborate with Product, Analytics, Machine Learning, Compliance, Operations and other engineering managers to develop a long term technical roadmap that meets stakeholder needs - Recruit and hire talented engineers - Hold a high technical bar with a bias towards longevity and simplicity via specification and architecture review - Coach, develop, retain, and provide thoughtful feedback to team members - Establish Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) to set the engineering team’s direction and measure its success - Build a strong engineering culture around innovation, accountability, empathy, and execution What We Look For - Experience: 2-3+ years managing high performing engineering teams - Past experience in Fraud/Risk/Financial systems is a plus - Past experience building platform solutions is a plus - Technical: solid engineering fundamentals and real world experience building scalable distributed backend services - Collaborative: track record of successful cross functional collaboration especially with product managers, business partners, and engineering counterparts - Potential: ability to grow alongside a fast growing company and team - Humble: you lead with the humility and self-awareness needed to navigate challenging situations - Passionate about Affirm's Mission: "Deliver Honest Financial Products that improve lives - This position requires either equivalent practical experience or a Bachelor’s degree in a related field Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000 USA base pay range (all other U.S. states) per year: $200,000 - $250,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

The Software Engineering Manager will lead a new Product Engineering team tasked with designing and building the next generation of Agentic AI-powered products for SmartEquip. While the core focus is product delivery, this team is pioneering SmartEquip’s AI-native ecosystem. Therefore, this highly technical, hands-on leader will architect the robust agent platform and backend microservices, while building the foundational end-to-end product platform required to scale, verify, deploy, secure, and monitor AI agents. - Key Responsibilities: - Product & Team Leadership: Manage multiple Product Engineering projects and a cross-functional engineering staff, including Python backend engineers, AI engineers, and Test Automation engineers. - Architectural Ownership: Architect, design, code, review and guide the team in developing scalable, efficient, and performant code for both the Agentic AI products, the backend microservices that power them, and the underlying platform required to scale and secure them. - AI-Native Development: Champion an AI-first approach by deeply integrating autonomous coding agents into the team's daily workflows and SDLC. Intelligent Systems: Lead the development of intelligent retrieval systems—from RAG pipelines to agentic architectures that reason across multiple data sources. - Pipeline & Deployment: Work closely with DevOps/SRE to plan, shape, and own the team's end-to-end delivery process, ensuring robust deployment and monitoring for production AI and microservice systems. - Strategic Tooling: Evaluate and select the right agentic frameworks (e.g., LangGraph, CrewAI, MCP, Google ADK, A2A, Agent Stack) and tools, partnering with SmartEquip technical leadership. We prioritize a deep foundational understanding of AI ecosystems and model behaviors over transient framework hype, ensuring engineers are efficient and proactive. - Verification & Security: Build automated test and verification pipelines tailored for AI systems, operating with an accuracy-first mindset to manage hallucination risks and ensure secure data access. - Skills and Experience: - Engineering Leadership: At least 3 years of experience managing engineers, with a proven ability to independently architect, problem-solve, and develop robust solutions. - Technical Stack: Polyglot full-stack background with in-depth, hands-on production expertise in Python. Proven experience building scalable backend microservices and RESTful APIs using frameworks like Django or Flask. - Modern Frameworks & Libraries: Highly knowledgeable in popular Python ecosystems, with specific expertise in data validation and API frameworks like Pydantic and FastAPI, which are critical for agent data structuring. - AI & Agentic Mastery: Deep experience with context engineering, designing agentic architectures, and building automated agent delivery pipelines. Proven ability to build, secure, and monitor production-ready retrieval systems (RAG). Extensive experience using and directing autonomous coding agents is expected. - Cloud Infrastructure: Experienced working with cloud platforms (GCP, AWS) and deploying AI workloads at scale, with specific preference for AI cloud platforms like Vertex AI. - Quality & Verification: Experienced with Test Automation and a strong understanding of how to build automated verification for AI outputs where accuracy has serious consequences. - Expected Outcomes (First 12 Months): - The first year will establish the technical and process foundation for SmartEquip's Agentic AI ecosystem. - Define the Standard: Build the AI SDLC and establish the Agentic AI development standards and guidelines for your team. - Build the Foundation: Architect and implement the end-to-end delivery platform needed to build, scale, verify, and secure our new AI agents and their corresponding services. - Deliver the Product: Successfully launch the MVP of SmartEquip's first Agentic AI product. - Operationalize AI: Establish a robust, AI-native CI/CD pipeline and monitoring system in close partnership with the SRE team. Ritchie Bros. (NYSE and TSX: RBA) Ritchie Bros. (NYSE and TSX: RBA) is a global asset management and disposition company, offering customers end-to-end solutions for buying and selling used heavy equipment, trucks and other assets in numerous industries including construction, transportation, agriculture, energy, oil and gas, mining, and forestry. Our mission is to create compelling business solutions for the world's builders to easily and confidently exchange equipment. Learn more about us at: https://www.ritchiebros.com/