Director of Software Engineering (New York)

Director of Software Engineering Job Summary We are seeking an experienced Director of Software Engineering to provide strategic and technical leadership for a growing software engineering organization. This role will oversee the development of scalable, high-performance software platforms while establishing the engineering vision, roadmap, architecture, and development practices needed to support continued growth. The ideal candidate is a hands-on and strategic engineering leader with extensive experience building and managing high-performing teams in fast-paced, technology-driven environments. Experience with AI, machine learning, natural language processing, healthcare technology, or other data-intensive platforms is highly preferred. Key Responsibilities Engineering Leadership & Strategy Lead and manage a high-performing software engineering organization, providing technical direction, mentorship, and strategic guidance. Develop and execute a long-term engineering strategy aligned with company objectives, product priorities, and customer needs. Establish and maintain engineering roadmaps, priorities, development standards, and delivery goals. Balance near-term execution with long-term architectural and technology investments. Drive a culture of technical excellence, innovation, accountability, and continuous improvement. Software Development & Architecture Oversee the design, development, testing, deployment, and maintenance of scalable software platforms. Guide architectural decisions to ensure systems are secure, reliable, maintainable, and capable of supporting significant growth. Ensure engineering teams consistently deliver high-quality software within established timelines and performance expectations. Identify opportunities to improve system performance, scalability, reliability, and development efficiency. Establish best practices for software development, code quality, testing, documentation, and deployment. AI & Emerging Technologies Lead the exploration and implementation of AI, machine learning, and natural language processing capabilities where they provide meaningful business and customer value. Partner with data science and product teams to identify opportunities for intelligent automation and data-driven product enhancements. Evaluate emerging technologies and determine how they can be responsibly incorporated into the organization’s technology strategy. Ensure AI-enabled solutions are designed with appropriate considerations for security, privacy, accuracy, scalability, and regulatory requirements. Product & Cross-Functional Collaboration Partner closely with Product, Design, Operations, Data, and executive leadership to translate business objectives into technical solutions. Collaborate with product leaders to prioritize initiatives and establish realistic delivery plans. Communicate technical strategies, risks, dependencies, and progress clearly to executive and non-technical stakeholders. Serve as a senior technical representative in strategic product and business discussions. Ensure engineering priorities remain aligned with customer needs and organizational goals. Team Development & Talent Management Recruit, develop, and retain high-performing software engineering talent. Build effective organizational structures, teams, and career development frameworks. Coach engineering managers and senior engineers while supporting their continued leadership development. Establish clear performance expectations and provide regular feedback and development opportunities. Promote collaboration, knowledge sharing, and continuous technical learning across the engineering organization. Develop succession plans and strengthen the organization’s technical leadership pipeline. Reliability, Security & Operational Excellence Establish engineering practices that support high availability, system reliability, scalability, and operational resilience. Partner with infrastructure, security, and technology teams to maintain appropriate security and compliance standards. Monitor engineering performance and system health through meaningful technical and operational metrics. Identify and address technical debt, system risks, and scalability challenges before they impact customers. Lead initiatives to improve development velocity, deployment processes, and operational efficiency. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field. 10 years of professional software engineering experience. 5 years of experience leading software engineering teams or organizations. Proven experience delivering large-scale, high-performance software platforms. Demonstrated experience developing and executing engineering strategies and roadmaps. Strong understanding of modern software architecture, distributed systems, APIs, cloud technologies, and software development practices. Experience managing engineering managers, senior engineers, and multidisciplinary technical teams. Strong leadership, communication, and stakeholder management skills. Demonstrated ability to operate effectively in a fast-paced, growth-oriented environment. Preferred Qualifications Experience working in a startup, scale-up, or other highly dynamic technology environment. Experience with artificial intelligence, machine learning, or natural language processing. Experience building healthcare technology, clinical research, health information, or other regulated technology platforms. Experience with data-intensive applications and AI-enabled products. Experience designing systems requiring high availability, scalability, and performance. Familiarity with healthcare privacy, security, and regulatory requirements. Advanced degree in Computer Science, Engineering, Business, or a related discipline. J-18808-Ljbffr

Principal Cloud Architect (Wilmington)

Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need Symbotic is seeking a Principal Cloud Architect to join our Platform Engineering team within our Information Technology organization. Your job will be to define and drive Symbotic's cloud architecture strategy on Google Cloud Platform (GCP), establish cloud-native platform standards, and provide technical leadership for the next generation of scalable, secure, and AI-enabled engineering platforms. This is a ground-floor opportunity on a newly formed team. We are in the early stages of a major cloud build-out: migrating more than one hundred environments — thousands of VMs — to the cloud while architecting greenfield platforms that must provision hundreds to thousands of instances on demand and handle petabyte-scale data generated daily by our robotics systems. You will design the self-service platform model that lets a small team support this scale: engineering teams get resource pools they configure and manage end to end, while Platform Engineering owns the guardrails, validation, and visibility that keep the platform stable, secure, and cost-efficient. This is a hands-on, player-coach role — not a whiteboard-only position. You will set enterprise architecture direction and governance, but you will also prototype solutions, review designs, and work side-by-side with engineers to land the platforms you architect. You will partner with engineering, infrastructure, security, DevOps, AI, and product teams across cloud, on-premises, and edge environments where our robots run. What we do The Platform Engineering team is part of the Information Technology organization and is responsible for building and operating the foundational technology platforms that enable software development, cloud infrastructure, automation, observability, developer productivity, and enterprise engineering services across Symbotic. Our team delivers the shared cloud platforms, CI/CD pipelines, Kubernetes infrastructure, developer tools, data services, and operational capabilities that power both enterprise applications and next-generation robotics solutions. We are a nimble, newly bootstrapped team — which means outsized ownership, direct executive visibility, and the chance to define the platform architecture from the ground up. What you'll do Define and govern enterprise cloud architecture and cloud-native platform standards on GCP, and own the multi-year cloud platform roadmap. Architect for hyperscale growth: design provisioning, networking, and data architectures that scale rapidly and elastically to hundreds or thousands of instances and petabyte-scale daily data volumes. Lead large-scale cloud migration and modernization, moving 100 existing environments to GCP alongside greenfield, Kubernetes-based (GKE) platform initiatives from strategy through production adoption. Build a true self-service platform, not a ticket-driven service: developer self-service, golden paths, resource-pool provisioning with guardrails, and the validation and merge-visibility controls that protect platform stability. Partner with the Security team to establish workload isolation across cloud resource hierarchies, secure disaster recovery, and snapshot/backup capabilities that ensure rapid recovery. Own cloud cost optimization and FinOps: design for efficiency so the platform delivers maximum capability within a disciplined budget. Champion AI-powered engineering — from AI-assisted development to intelligent, automated operations — so a small team can do more with less. Drive Platform Engineering capabilities including CI/CD, GitOps, and Infrastructure as Code that measurably improve developer velocity. Provide technical leadership, mentor engineers and architects, run architecture review forums, and influence enterprise technology strategy with executive leadership. What you'll need Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Minimum of 12 years designing and implementing enterprise and cloud architectures, including at least one large-scale cloud migration or platform modernization you personally led. Minimum of 5 years in a Principal Architect, Lead Architect, or equivalent senior technical leadership role. Deep expertise with Google Cloud Platform (GCP) including GKE, GCP resource hierarchy and IAM, VPC design, and data services — or demonstrated depth on AWS/Azure with clear ability to lead on GCP. Proven experience operating at high scale: rapid, automated provisioning of large fleets and architectures handling very large data volumes and traffic. Strong experience with Kubernetes, containers, microservices, distributed systems, and APIs. Experience with Infrastructure as Code (Terraform preferred) and GitOps-driven delivery. Experience building self-service Platform Engineering, CI/CD, and DevOps solutions adopted by multiple engineering teams. Strong understanding of cloud security and isolation models, identity, networking, observability, disaster recovery, and backup/snapshot strategies. Cloud cost management / FinOps experience at enterprise scale. Exceptional communication, executive influence, and architecture governance experience and able to explain complex architecture decisions to executives and win alignment across engineering organizations. Preferred qualifications Experience architecting hybrid cloud / edge platforms that connect on-premises, industrial, or robotics environments to the cloud (e.g., Google Distributed Cloud / Anthos). Experience in robotics, manufacturing, logistics, supply chain, or other physical-world automation industries. Experience with AI/ML platforms, GenAI developer tooling, or data platform architecture at petabyte scale. Experience standing up platform capabilities on a small or newly formed team. Relevant certifications (e.g., Google Professional Cloud Architect, CKA/CKS) or architecture frameworks (e.g., TOGAF). Our Environment Hybrid, based out of our Wilmington, MA headquarters, with flexibility based on candidate location and qualifications. Travel of up to 25% may be required, primarily to our Wilmington, MA engineering headquarters and occasionally to engineering or customer locations; a valid driver's license is required. About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $180,000.00 - $247,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits. Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $180,000.00 - $247,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits. J-18808-Ljbffr

Machine Learning Director (San Francisco)

About PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy's point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy's credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy. This includes ML infrastructure: feature stores (online and offline), model serving, ETL/feature architecture and the infrastructure that helps us serve our customers like our internal offers API. You will bridge the gap between business strategy (Risk, Fraud, Product) and technical execution, ensuring that our ML infrastructure is scalable, secure and world-class. You are a leader who enables senior-level engineers to solve the company's most complex problems, fostering an environment where innovation meets production-grade reliability. You will be part of a data science team on a mission to improve access to credit and technology in emerging markets with the opportunity of creating a big and real positive impact to our millions of users across the countries we operate in. Key Responsibilities Define the technical roadmap for our ML platform, modeling and internal APIs infrastructure, moving beyond individual projects to oversee the long-term sustainability of our \assembly line\ approach to data products and ML model offers serving. Mentor and manage a team of Staff and Senior-level ML Engineers. Foster a culture of technical excellence, focusing on system design, scalability and code quality. Act as the primary liaison between Data Science/ML Engineering and business stakeholders like Risk, Fraud, Engineering and Product. Translate complex business goals into actionable technical requirements that the team can execute at scale. Own the long-term vision for our ML infrastructure, including deployment, monitoring and MLOps practices. Ensure that all data products are not only performant but also maintainable and compliant with global safety standards. Guide the professional growth of your direct reports, ensuring they are challenged by the right problems and supported by clear career trajectories. Champion the adoption of new technologies (e.g., LLMs, graph databases) and best practices that keep PayJoy at the forefront of financial ML without sacrificing stability. Requirements PhD or master's in Computer Science, Statistics, Engineering or a related field 8 years of hands-on experience in Data Science or ML Engineering, with at least 4 years in a leadership role managing senior-level or staff-level engineers. A proven track record of designing and delivering large-scale ML systems. You must have a deep understanding of the full ML lifecycle (from feature extraction to production monitoring) and the ability to review system designs and architecture at a high level. Ability to identify bottlenecks in global ML operations and design systematic solutions. You think in terms of platforms, not just individual models. Exceptional ability to communicate complex technical concepts to non-technical stakeholders. You can defend technical decisions to executive leadership and advocate for the \engineering mindset\. PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. PayJoy Principles Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening J-18808-Ljbffr