• Through cross-team collaboration with Product Management and Design, define the roadmap that makes up the Relationship Intelligence engine and features. • Lead, coach, mentor and inspire a team that owns applications that are critical to the success of our customers and our business. • Own the delivery of a delightful, reliable platform and user experience to our users around the world through rapid cycles of development and iteration. • Lead Agile processes like daily standups, sprint plannings, demos and retrospectives. • Champion AI tools and best practices, keeping current with the rapidly changing landscape, in order to enable high degrees of team efficiency and output, and create a learning environment for team members to continuously develop skills. • Be an active contributor. You’ll have the time to build meaningful features alongside your team. • Drive complex technical, architecture, design, and product discussions. • Identify and fill gaps on the team, and create the processes necessary for the team’s success. • Scale the team by hiring additional talented engineers to provide the necessary velocity to meet the team’s goals.

• Lead, inspire, and manage a team of engineers dedicated to developing and maintaining UDS-compatible applications. • Own the team's deliverables, ensuring the timely delivery of scalable, highly-available products that exceed customer expectations. • Collaborate with cross-functional teams to prioritize and manage engineering roadmaps in alignment with Product objectives. • Instill a spirit of continuous improvement in code quality, architecture, and processes, driving innovation and efficiency. • Mentor and guide the professional and technical development of team members, helping them advance their careers and achieve their goals. • Facilitate communication among clients/customers and engineers, ensuring clear understanding of specifications, budgets, and deadlines. • Stay abreast of new trends, developments, and technologies to continually improve product lines and production efficiency.

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery. • Partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities, customer needs, and research requirements into scalable technical plans. • Build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data products. • Collaborate with Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams to support reliable delivery, incident resolution, client communication workflows, and operational improvements. • Use AI coding tools to accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity. • Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.

• Lead, mentor, and support a team of mobile engineers, fostering growth, engagement, and high performance. • Own the delivery of mobile solutions from planning and development through release and ongoing improvement. • Provide technical leadership in mobile architecture, engineering standards, and development best practices. • Plan and coordinate work, ensuring clear priorities, effective execution, and predictable delivery. • Work closely with Product Managers, Designers, Data teams, and other Engineering Managers to align on roadmaps and goals. • Ensure mobile solutions meet quality, security, and platform‑specific requirements. • Identify delivery and technical risks early and manage them proactively. • Support hiring activities, onboarding, performance reviews, and goal‑setting within the team. • Encourage collaboration, innovation, and a culture of continuous improvement.