• Contribute as a hands-on Engineer: Actively contribute to the codebase in the early phase of the role, helping the team deliver high-quality solutions while setting a strong example for engineering standards and practices. • Lead and Develop the Team : Own the delivery, health, and effectiveness of your engineering team. Provide clear direction, foster psychological safety, and support individual growth through regular feedback, performance reviews, and coaching. • Mentor and Grow Talent : Foster open communication, career development, and engineering excellence by championing best practices like test-driven bug fixing, automated testing, continuous integration and daily deployments to production. • Collaborate with Stakeholders : Work closely with product managers, backend and frontend engineers, and non-technical teams to align on business goals, deliver high-quality features, and manage changes, bug fixes, and new initiatives. • Drive Technical Direction : Guide the team in technical discussions to find innovative solutions, steer timelines for releases, and ensure automation and operational excellence are front and center in scaling the Pliant platform for rapid growth. • Manage OKRs and Continuous Improvement : Set and track quarterly team OKRs together with the product manager. Promote innovation, knowledge sharing, and ongoing enhancements to maintain a culture of excellence. • Champion Pliant Values : Embrace and live Pliant’s core values - Push It, Own It, Open Up, Be Kind, Have Fun, Be Pliant - while collaborating with peers on company-wide initiatives and fostering a positive team and department culture.

• 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.