• Drive the development of high-throughput backend services • Act as a technical backstop for the team • Inherit a core team and lead the immediate recruiting effort • Collaborate with Product Management and Engineering leadership to define the execution plan • Foster a DevOps culture where the team owns its services • Encourage an environment of positive collaboration and continuous learning

• Owning the development, evolution, and implementation of 8am’s design system component library to enable consistent, high-quality user experiences and accelerate product delivery across teams. • Leading the development of a best-in-class mobile application tailored to the needs of professionals on the go. • Defining and evolving the front-end architecture and technical strategy to enable scalable, long-term business growth. • Lead and coach a team of passionate engineers through regular, direct feedback, career development planning, and hands-on technical mentorship. • Support and help deliver the front-end technical vision across web and mobile platforms, ensuring architectural decisions scale with product and team growth. • Ensure strong front-end architecture by reviewing designs and influencing implementation approaches. • Guide UI modernization efforts by balancing prioritization of feature development and platform investments. • Translate business goals into clear technical direction to help engineers understand why their work matters. • Create a psychologically safe team culture where engineers feel empowered to ask questions, challenge assumptions, and experiment without fear of blame. • Model curiosity and passion by investing in learning, questioning default choices, and encouraging the team to do the same. • Partner closely with cross-functional partners to shape roadmaps, align on trade-offs, and ensure engineering effort maps clearly to business outcomes. Champion usability, accessibility, and performance as product qualities. • Lead team ceremonies, including sprint planning, grooming, and retrospectives, ensuring effective communication and coordination. • Influence the broader engineering organization by sharing best practices and unblocking cross-team initiatives.

• Manage a team of Data Scientists, ML Engineers, and Software Engineers focused on architecting, building, and operating the Dispatch Optimization platform. • Drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that directly optimize cost efficiency and service levels. • Own the successful implementation and delivery of projects defined on the ML roadmap. • Lead the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy. • Guide the design and implementation of end-to-end cloud-native Python services that execute constrained optimization algorithms and deliver low-latency, real-time dispatch decisions. • Partner effectively with Product, Operations, and Data Engineering teams to communicate complex technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership.

• Manage a team of Engineers that focus on Salesforce, providing guidance, mentoring, and career development. • Drive technical solutions for your products by data modeling, defining APIs, designing classes, challenging designs and documenting overall solution design. • Collaborate with Product Managers, UX designers, and other teams to ensure successful product development and delivery. • Continuously improve development processes and methodologies, adopting best practices and agile principles. • Become a subject matter expert on all things around the Salesforce development environment.