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/

Fully Remote (North American timezones) - There is 1 opening, posted to multiple locations. No agencies. About Maximus Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify. We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there. We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default. About the Role We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols. Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check. You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering. What you will do (Key Responsibilities): - Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude - Ship full-stack features across the acquisition funnel in Rails and React - Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations - Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate - Iterate and continuously optimize plan and pricing architecture, including payment platform integrations - Build and maintain the experimentation infrastructure your team runs on - Partner with data engineering to instrument cohort-level M1 retention tracking per experiment - Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity Our Tech Stack: - Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (required) - Event-sourced architecture with command pattern - PostgreSQL, Redis, Delayed Job for background processing - Stripe and Klarna for payments and installment plans - Amplitude for experimentation and analytics, Segment for event collection - Redux with redux-loop and Immutable.js on the frontend - Docker, AWS/GCP, Aptible, GitHub Actions CI/CD - Cypress for E2E testing - AI-assisted development: Claude Code and Devin for agentic coding What we are looking for (Qualifications): - You've led a team of 4-8 engineers before, with direct reports you grew and retained - You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture) - You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable. - You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster - You think in funnels and cohorts, not just features - You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams - You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process Nice to have (strongly preferred): - Experience with healthcare, wellness, or regulated subscription commerce - Familiarity with Stripe billing, Klarna, or similar payment platform integrations - Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure How we work: - Remote, Americas-based (team is distributed across US and Latin America time zones) - Two-week sprints with PM, Design, and Tech Lead driving prioritization together - Ship and deploy to production multiple times per day Why this role and join us?: You'll set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month. Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you. World-Class Benefits: - Full suite: health, medical, dental coverage (USA & Canada) - Flexible vacation/time-off policies - Equity into the company in the form of high potential stock options - Liquidity of options whenever available - Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees) Interview process Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know). Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human. - Application & Criteria Questionnaire: When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression. - First Interview: Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience & fit for the role, and alignment on values and expectations. - Role Interview: You will then meet with Mark P - Head of Engineering and Steve C - Senior Growth Product Manager to understand how you would approach real Growth team problems across system design, product trade-offs, and compliance. - Technical Interview: Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate - Leadership Interview: Chat with Mark P - Head of Engineering on leading a team, growing engineers, hiring and other aspects of people leadership. - Meet the CEO: At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes. Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity. Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.

The Engineering Manager, Data & AI Platform is responsible for leading teams that build, operate, and evolve Blackbaud’s enterprise Data & AI platform—the foundation that powers analytics, data products, machine learning, and agent‑based experiences across the company. This role blends people leadership, platform ownership, and technical strategy. You will manage engineers working across modern data and AI infrastructure (Lakehouse, pipelines, feature services, ML enablement, observability, and governance), while ensuring the platform is scalable, secure, cost‑efficient, and product‑oriented. Success in this role requires strong engineering judgment, the ability to operate in ambiguity, and a passion for building platforms that accelerate teams and unlock business outcomes for the nonprofit sector. What You’ll Do - Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers. - Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design) - Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards. - Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity. - Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement). - Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization. - Establish clear roadmaps, milestones, and success metrics for platform initiatives. - Hire, mentor, and grow high‑performing platform engineers across geographies. - Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy. - Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills. - Collaborate closely with Product, Data Science, Analytics, and Product Engineering teams to ensure the platform accelerates—not blocks—delivery. - Influence standards and best practices across the Data Intelligence COE. What we'll want you to have: - 8+ years of experience in software, data, or platform engineering. - 3+ years of experience managing and developing engineering teams. - Hands‑on experience with modern data platforms (cloud data lakes/lakehouses, distributed processing, streaming, APIs). - Strong understanding of platform engineering principles and operating production systems at scale. - Proven ability to lead through ambiguity and influence without authority. Stay up to date on everything Blackbaud, follow us on Linkedin, Twitter, Instagram, Facebook and YouTube ​ Blackbaud powers social impact through purpose‑driven technology and responsible AI. Guided by our Intelligence for Good® vision, we’re building a culture where innovation, trust, and human expertise come together to help organizations make a greater difference in the world. Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. The starting base pay is $133,700.00 to $173,800.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations. Benefits Include: - Medical, dental, and vision insurance - Remote-flexible workforce - Wellness Programs - 401(k) program with employer match - Flexible paid time off - Generous Parental Leave - Donations for Doers - Pet insurance, legal and identity protection - Tuition reimbursement program