Manager of Software Engineering

Who you are

• Bachelor's, Master's, or PhD degree in Computer Science or a related technical discipline
• 7+ years of software engineering experience, including leadership in an IC or EM capacity
• Ability to dive into architecture and write clean, scalable code while simultaneously mentoring others
• Comfort working with cross-functional partners including PMs, Analysts, and mobile/backend engineers
• Experience leading teams that produce high-quality output on critical infrastructure
• Hands-on fluency with AI-native engineering workflows, including tools such as Cursor and Claude, with the judgment to use AI for planning, coding, triage, and technical decision support
• A creative, tenacious problem solver with a "get-it-done" attitude
• A standard-bearer who takes pride in their work and inspires others to rise to the occasion
• Capable of maintaining a positive, healthy team environment that supports and challenges everyone What the job involves
• We're on a mission to reinvent the financial system and make it work for people
• We are looking for an experienced professional to lead a full-stack engineering team comprising backend and mobile engineers
• We have a top-tier team of engineers and leaders who have worked for tech companies such as Meta, Apple, Amazon, Netflix, Google, Uber, Dropbox, etc
• As a hands-on Manager for our Early Bets team, you will have the unique opportunity to contribute to designing and developing some of our early-stage innovative products (0-1). You will work with your cross-functional partners and team to shape the direction of our Savings products and help make it a significant driver of customer retention and revenue for the company
• Act as a product-minded player-coach, balancing high-impact team management with hands-on technical contributions to rapidly build and iterate on early-stage innovative products (0-1)
• Embed AI-native practices into the daily rhythm of planning, prioritization, and execution to accelerate the delivery and validation of "Early Bets" products
• Scale team impact by optimizing workflows through AI automation, ensuring the team remains agile and effective while navigating the high-velocity requirements of early product development
• Maintain deep, hands-on AI fluency to lead by example, leveraging advanced AI tools to design, develop, and evaluate the quality of engineering work supporting new product initiatives
• Coach and mentor engineers on critical, effective AI usage, moving beyond simple automation to sophisticated, disciplined engineering practices
• Own the full performance management lifecycle for your team, from setting clear expectations and delivering ongoing feedback to calibration, leveling decisions, and development planning
• Partner with product and cross-functional teams to translate ambiguous business goals into strategic technical roadmaps optimized for discovery and high-velocity iteration
• Drive the architecture and implementation of new features, breaking down complex problems and delivering high-quality code that serves as a foundation for scalable, high-impact products
• Recruit and develop a top-tier engineering team, fostering a culture of technical excellence and constant innovation Benefits
• 401k
• FSA
• Mental health resources
• Employee Resource Groups
• Stipend for growth opportunities
• Pet friendly office
• Work from home opportunities
• Health insurance