Manager 3, Software Engineering, Ai - first Experiences

Consumer Group Ai Team Leadership Role

Join the Consumer Group (CG) AI team and take a pivotal leadership role driving the development and deployment of AI-native and embedded AI experiences for millions of TurboTax and Credit Karma customers. We are building the next generation of financial products fueled by and injected into Generative AI and Agentic experiences, with a mission to deliver prosperity around the world. You will be a highly technical and results-oriented leader, responsible for overseeing dynamic teams of Software Engineers and embedded AI Scientists. You will serve as a hands-on engineering mentor and strategic driver, specializing in leveraging Generative AI, Agentic systems, and Model Context Protocol (MCP) to solve complex customer problems and unlock new business opportunities. You will drive rapid, iterative delivery, constantly uphold a high-quality bar, and strategically unblock your teams to ensure maximum velocity and performance. Success in this role requires a strong balance of deep technical fundamentals, business acumen, and exceptional cross-functional partnership across the functions including Product, Legal, Security, and Design.

Responsibilities

AI-Native Product Delivery: Delivery of high-quality, customer-driven software offerings included embedded AI, MCP, and Agent-enabled capabilities. This role is not an AI Science management role but rather an AI-savvy engineering role. This includes a proven track record in shipping high-quality, scalable, AI-native experiences (eg MCP tools used by agents) by leading teams of engineers and partnering (or leading) AI Scientist.

Technical & Visionary Leadership: Provide strong technical leadership and strategic guidance, inspiring teams to adopt cutting-edge AI tooling and innovations that fuel efficiency and quality in delivery and company growth.

Engineering & Operational Excellence, Expanded to AI: Drive the adoption of best practices, tools, and metrics across the organization. Create and drive new testing and quality evaluation technique, and deliver automation to ensure solution robustness, in new areas around AI, agents, and embedded AI experiences.

Talent Management & Team Building: Lead, mentor, and hire a high-performing, results-oriented organization. Provide technical leadership and manage the career development, objectives, and priorities of all reporting staff.

Strategic Collaboration: Act as an expert communicator, fostering strong partnerships with multiple stakeholders (Product Management, Analytics, Design) to ensure technology reuse, architecture health, and common outcomes for high-stakes company-level initiatives.

AI-native: Able to spot appropriate applications for leveraging agentic, generative AI, MCP, and other cutting-edge technologies to solve complex questions or fuel new business opportunities.

Qualifications

15+ years of experience with a minimum of two years of proven track record leading high-performing engineering teams. Hands on engineering leader who can nurture working with highly motivated and extremely talented engineers to work on high visibility online product. Hands-on expertise leading teams that ship software including Agentic capabilities, Generative AI, MCP, etc. Able to spot appropriate applications for leveraging these technologies to solve complex problems. Comfortable working on all tiers of modern applications, from the front-end all the way to the database and strong exposure to Enterprise Java platform, Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level. Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders. Drives strategic technology/engine reuse, technology and architecture health, and development process improvement. A highly technical and result-oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams.