Manager, Software Engineering

EarnIn•Mountain View, CA

1d•$266,000 - $326,000•Hybrid

About The Position

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. This position is based in our Mountain View HQ and will require hybrid work with in-office days 2 days a week. 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. The base salary range for this full-time position is $266,000 - $326,000 + equity + benefits. Our salary ranges are determined by role, level, and location. Come make a difference with us and have fun doing it!

Requirements

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.

Responsibilities

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.