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DevOps Engineer

• Design and implement resilient cloud architectures using Infrastructure as Code (IaC)
• Build, maintain, and optimize continuous integration and deployment pipelines
• Monitor Service Level Objectives (SLOs) and manage incident response
• Administrate cloud hosting accounts, VPN connections, and manage access controls
• Create and maintain high-quality technical documentation
• Collaborate closely with engineering, product, security, and internal operations stakeholders

Product Manager

• Own Zipline’s future growth portfolio
• Identify, validate, and de-risk new sources of revenue
• Work across Product, Design, Engineering, Data, Sales, CS, RevOps, and Corporate Development
• Define clear investment theses, success criteria, and decision points
• Build rigorous business cases including TAM, ROI, cost-to-serve, and GTM implications
• Run early-stage discovery to understand unmet customer needs
• Collaborate with Engineering and Data to validate technical feasibility
• Execute controlled pilots and proof points
• Recommend market entry strategies, sequencing, and success metrics
• Collaborate with Corporate Development on product-fit assessments for partnerships and M&A
• Establish frameworks for discovery, validation, piloting, and business casing

Director of Product – Strategic Ventures

Affiliate Manager

• Own full-cycle recruitment for leadership, sales and marketing roles or technical and product roles, depending on your area of expertise
• Embed into client teams and act as a trusted partner to hiring managers and senior leaders
• Manage multiple searches simultaneously, prioritizing work effectively to meet competing deadlines
• Build and maintain strong relationships with clients, candidates, and internal stakeholders
• Proactively source, assess, and engage high-quality candidates using a variety of channels
• Apply structured, repeatable recruiting processes that enable speed, consistency, and strong outcomes
• Exercise sound judgment and discretion when handling sensitive or confidential information
• Communicate clearly, professionally, and thoughtfully with candidates and clients at all times
• Continuously evaluate and improve recruiting processes, tools, and workflows
• Take full accountability for search progress, candidate experience, and hiring outcomes

Senior Talent Partner

Full-stack Engineer

• Design and implement scalable serverless functions (Node.js/TypeScript)
• Support and extend existing PHP/Laravel services
• Drive the adoption of PrimeVue design system
• Lead code reviews and champion "Definition of Done" standards
• Partner with Architecture, Product Owners, and Designers

Senior Software Engineer

AI Engineer

• Collaborate with engineering teams on the design and implementation of solutions using LLM's
• Develop, refine, and optimize prompts to ensure the highest quality and accuracy from AI models
• Collaborate with product and engineering teams to integrate AI/ML models and services into our core products
• Act as an AI generalist, empowering our internal teams to use AI tooling effectively
• Work in a highly collaborative environment with the product and data team to explore new AI technologies
• Utilize cloud platforms, particularly AWS AI services, to build, deploy, and manage AI-powered features.

Software Engineer

• Research, evaluate, and guide the implementation of new technologies and methodologies that solve business and technical challenges
• Participate actively in the entire project life cycle, including architectural design, implementation, coding, testing, and deployment
• Spend approximately 40% of time contributing hands-on code alongside the team
• Conduct code reviews and promote high standards for quality and maintainability
• Coach, mentor, and support the professional development of five developers and one QA
• Establish short- and medium-term strategic technical visions for the team
• Stay current with trends, techniques, technology, and other factors impacting the business
• Manage assignment of resources to projects across multiple product lines
• Participate in regular reviews of customer support issues requiring development team assistance

Team Lead, Engineering

Data Scientist

• Design, develop, and deploy end-to-end ML models that power customer-facing features, using techniques across NLP, generative AI, and traditional machine learning.
• Partner with cross-functional teams to translate business problems into well-defined ML problems, ensuring solutions are robust, explainable, and impactful.
• Own the full model lifecycle: data exploration, feature engineering, model design, training, evaluation, deployment, monitoring, and maintenance.
• Build and maintain scalable pipelines and APIs for model inference and integration into production systems.
• Collaborate with Product Managers and Engineers to deliver production-ready ML features that enhance customer experience and operational efficiency.
• Apply modern NLP and LLM methodologies (e.g., text embeddings, summarization, retrieval-augmented generation) to improve communication and content understanding in retail workflows.
• Participate in the deployment of the solutions, experimentation, and continuous model improvement.
• Communicate results and insights effectively to both technical and non-technical stakeholders.
• Stay ahead of trends in AI, ML, NLP, and LLMs to continuously evolve Zipline’s technical capabilities.
• (Optional) Explore reinforcement learning (RL) techniques where applicable to optimization problems.

Senior Data Scientist

• Design, develop, and deploy end-to-end ML models that power customer-facing features, using techniques across NLP, generative AI, and traditional machine learning.
• Partner with cross-functional teams to translate business problems into well-defined ML problems, ensuring solutions are robust, explainable, and impactful.
• Own the full model lifecycle: data exploration, feature engineering, model design, training, evaluation, deployment, monitoring, and maintenance.
• Build and maintain scalable pipelines and APIs for model inference and integration into production systems.
• Collaborate with Product Managers and Engineers to deliver production-ready ML features that enhance customer experience and operational efficiency.
• Apply modern NLP and LLM methodologies (e.g., text embeddings, summarization, retrieval-augmented generation) to improve communication and content understanding in retail workflows.
• Participate in the deployment of the solutions, experimentation, and continuous model improvement.
• Communicate results and insights effectively to both technical and non-technical stakeholders.
• Stay ahead of trends in AI, ML, NLP, and LLMs to continuously evolve Zipline’s technical capabilities.

• Own product initiatives from research through launch and iteration
• Drive build/buy/partner decisions that balance speed-to-market with strategic control
• Lead strategic market analysis for payments and financial management in the nonprofit SaaS ecosystem
• Define and own performance metrics for the payments portfolio (such as % growth in payment processing revenue)

Principal Product Manager

• Act as a DevOps evangelist, embedding DevOps principles across engineering teams
• Lead and mentor a small team of DevOps engineers, fostering a culture of ownership, collaboration, and continuous improvement
• Partner with engineering leadership to align infrastructure and delivery practices with business goals
• Define and execute the DevOps and cloud roadmap
• Design, implement, and manage cloud infrastructure (primarily GCP, with openness to Azure)
• Ensure environments are secure, scalable, highly available, and cost-optimized
• Optimize the full infrastructure, with a focus on modernizing, hardening security and enhancing monitoring.
• Build and maintain robust CI/CD pipelines to automate build, test, and deployment workflows
• Champion Infrastructure as Code (IaC) to ensure reproducible and auditable environments
• Drive automation across infrastructure provisioning, application delivery, and operational tasks
• Implement and manage monitoring, logging, and alerting solutions to ensure system health and performance
• Define and enforce security best practices across the development lifecycle
• Support incident response, root cause analysis, and continuous reliability improvements

DevOps Team Lead

Customer Support

• Serve as the first point of contact for customer support inquiries
• Troubleshoot issues and provide clear, empathetic communication via phone, chat, and email
• Document, escalate, and track support requests using Zendesk
• Verify and report software bugs; communicate with internal teams as needed
• Act as a Subject Matter Expert (SME) for assigned products
• Prioritize workload effectively and follow established SLAs
• Encourage clients to submit product feedback and enhancement requests
• Follow established risk management and data security protocols

Customer Support Specialist

Product Designer

• Envision the future of Zipline’s AI and mobile experience and bring it to life
• Design end-to-end mobile experiences that solve the most complex customer problems with ease and delight
• Iterate rapidly based on research insights and real customer feedback
• Partner with product managers to shape product strategy and define requirements that matter
• Plan, conduct, and analyze user research that drives breakthrough design decisions
• Create high-fidelity prototypes using the latest tools and techniques
• Present compelling design solutions to stakeholders and champion your creative vision
• Mentor junior designers and elevate the craft of the entire team

DevOps Engineer

Director of Product – Strategic Ventures

Senior Talent Partner

Senior Software Engineer

AI Engineer

Team Lead, Engineering

Senior Data Scientist

Senior Data Scientist

Principal Product Manager

DevOps Team Lead

Customer Support Specialist

Senior Product Designer, Mobile & Emerging Experiences