Top Tech Jobs & Startup Jobs

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, backlog and story management, stakeholder alignment, risk and dependency management, cross-functional collaboration, and defining success metrics. The role independently guides product decisions across engineering, design, quality, business, and delivery teams in complex consulting environments.

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, stakeholder alignment, risk and dependency management, delivery coordination, and defining success metrics. The role partners with engineering, design, quality, and business teams to turn ambiguous business intent into measurable product outcomes.

Design and ship end-to-end digital product experiences through research, workflows, interaction design, prototyping, responsive interfaces, and design systems. Collaborate directly with clients, product managers, engineers, researchers, content designers, and quality specialists from product shaping through implementation, release, and iteration. Use analytics, user feedback, usability testing, and AI-assisted tools to improve products and delivery practices.

Lead end-to-end product design for complex digital products in a client-facing consulting environment. Translate ambiguous challenges into product models, workflows, interfaces, coded prototypes, and production-ready implementation context. Collaborate directly with executives, users, product teams, and engineers while using AI-assisted development tools, Figma, and modern frontend technologies. Stay engaged through implementation, design QA, release, and iteration.

Design and deliver complete digital product experiences in collaborative client delivery teams. Translate user, business, and technical needs into workflows, interactions, prototypes, responsive interfaces, design-system patterns, and implementation guidance. Partner closely with product managers, engineers, researchers, and quality specialists through development, design QA, release, and iteration. Conduct or support research and usability testing, use analytics and feedback to improve products, and apply AI-assisted tools to accelerate exploration and prototyping.

Lead product design for complex digital products from ambiguous discovery through production. Collaborate directly with clients, users, product leaders, and engineers to define workflows, systems, prototypes, and implementation context. Create coded and AI-assisted prototypes using React and modern web technologies, facilitate stakeholder decisions, support design QA and release, and ensure accessible, production-ready experiences across complex operational scenarios.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, permissions, workflows, Enterprise Managed Users, IAM, and data residency. Design and maintain scalable internal developer platforms, Kubernetes-based infrastructure, CI/CD pipelines, and self-service capabilities using cloud-native technologies and infrastructure as code. Validate integrations, document governed environments, mentor client teams, and collaborate independently with distributed stakeholders.

Lead the architecture and delivery of complex, production-grade digital products while remaining hands-on in React, TypeScript, AWS, APIs, backend services, and distributed systems. Partner directly with clients and senior stakeholders, guide technical decisions, lead projects from discovery through production, mentor engineers, and establish engineering standards. Incorporate AI-assisted and agentic coding tools into development workflows, with opportunities to build AI-powered applications and lead cloud modernization initiatives.

Architect and deliver production-grade cross-platform mobile applications using Flutter and/or React Native. Lead architecture, development, testing, performance optimization, CI/CD, and App Store and Google Play deployment. Integrate APIs, cloud services, authentication, SDKs, and AI/LLM capabilities. Collaborate with clients and product teams, make pragmatic technical decisions, mentor engineers, and establish mobile engineering standards while using AI-assisted and agentic development tools.

Design, build, and deploy production-ready intelligent solutions using machine learning, deep learning, generative AI, and large language models. Develop RAG pipelines, integrate AI services, manage model deployment and MLOps workflows, and apply strong software engineering practices. Collaborate with engineering, product, and data teams in a distributed environment to create scalable, reliable, responsible AI-powered products.