Lead the Consumer Core full-stack team at Upside, combining technical contributions with people-first leadership to drive operational excellence, scale foundational systems in KMP, Python and Java, and support consumer and partnerships applications. Requires 3+ years engineering management experience, hands-on mobile/API expertise, and passion for AI integration.
185k – 215k/yr
Hybrid5+ YOEEngineering Management
About the role
Responsibilities
Create a safe, collaborative team environment by naming problems and inviting open discussion.
Operate with a first-team mindset, leaning in to help important areas regardless of domain.
Raise the bar by identifying and influencing improvements in quality, performance, speed of execution, and engineering standards.
Grow talent by coaching engineers, recognizing achievements, and helping them develop skills.
Set clarity and empower autonomy by articulating expectations so teams can operate independently.
Define and maintain the team’s domain boundaries across authentication, event architecture, user research and analytical workflows, internal mobile tooling, app security support, mobile FinOps, and cross-team repos.
Champion system-level quality by addressing gaps in reliability, scalability, security, and performance across the app and API stack.
Ensure the consumer app platform is secure, cost-efficient, production-ready, with self-service, repeatable, and trusted workflows.
Oversee team AI adoption and exploration strategy for KMP, Python, and Java platforms.
Act as primary point of contact for internal partners (Product, Design, Security, Data Science).
Represent the Consumer Core team in cross-functional planning, technical councils, and roadmap discussions.
Requirements
3+ years of engineering management experience, ideally across mobile or distributed API domains.
Thrive in scaling teams, elevating systems, and solving ambiguity.
Able to dive into deep technical challenges and steer mobile and API infrastructure (AWS preferred), analytical and SDLC tools (e.g., Mixpanel, Runway).
Recent hands-on experience with mobile and API development, including best practices such as serverless, event-driven, REST, microservices, MVI, and Clean architecture patterns.
Value clarity over consensus and help teams stay aligned in high-change, high-growth conditions.
Passionate about integrating generative AI into team workflows and engineering processes to improve delivery speed, quality, developer productivity, and continuous improvement.
Nice-to-Haves
Experience with Kotlin Multiplatform (KMP), Python, Java.
Hands-on with AWS, Mixpanel, Runway.
Familiarity with serverless, event-driven architectures, REST, microservices, MVI, Clean architecture.
Interest in AI adoption for engineering processes.
Compensation and Benefits
US base salary range: $185000 - $215000 + equity + benefits.
Medical, dental, and vision coverage starting on Day 1.
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