We're seeking a hands-on Engineering Manager to lead our AI transform engineering team. This is a unique opportunity to balance technical leadership with people management, driving both technical excellence and team growth. You'll spend some of your time coding while architecting solutions and mentoring and developing a talented engineering team.
Location: San Jose, CA office - 3 days per week on-site (hybrid)
Technical Leadership
Design and architect scalable, resilient platform servicesConduct code reviews and establish engineering best practicesMake key technical decisions on frameworks, tools, and architectureLead technical initiatives and drive platform modernization effortsParticipate in on-call rotation and troubleshoot production issuesWrite production code and contribute to critical platform components
People & Team Management
Lead, mentor, and grow a teams of 5-8 engineersConduct 1:1s, performance reviews, and career development conversationsBuild a high-performing, collaborative team cultureRecruit, interview, and hire top engineering talentChampion continuous learning and technical growthRemove blockers and create an environment where engineers thrive
Cross-Functional Collaboration
Partner with Product and Design to define technical roadmapsCollaborate with other engineering teams on platform initiativesCommunicate technical vision and progress to stakeholdersBalance business needs with technical excellence
What You'll Bring
7+ years of software engineering experience with modern tech stacks2+ years of engineering management experience leading high-performing teamsStrong hands-on coding skills (Python, Java, Go, or similar)Deep experience with cloud platforms (AWS, GCP, or Azure)Proven track record building scalable distributed systemsExperience with containerization (Docker, Kubernetes) and CI/CDStrong understanding of system design, microservices, and APIsExcellent communication skills and ability to mentor engineersBachelor's degree in Computer Science or equivalent experienceExperience with platform or infrastructure engineeringBackground in FinTech or SaaS companiesFamiliarity with data pipelines and processing frameworksExperience with monitoring, observability, and DevOps practicesTrack record of technical innovation and driving engineering cultureExperience with AI technologies such as langgraph, langchain, mcp
