Manager, Software Engineering

EarnIn•Mountain View, CA

5d•$266,793 - $326,081•Hybrid

About The Position

EarnIn’s marketplace business unit helps members earn rewards, save on everyday spending, and build credit through products such as Rent Reporting. The business is one of EarnIn’s fastest-growing revenue lines, and its platform for partner integrations, rewards, and ranking is reused across the company. The Manager, Software Engineering will lead a full-stack team, including staff-level tech leads, and help shape the team’s work using member and partner data. The role supports faster partner launches while maintaining the reliability of high-traffic, critical-path services. The position is hybrid in Mountain View, with two days of in-office work per week. The base salary range is $266,793–$326,081, plus equity and benefits.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science or a related technical discipline, or equivalent practical experience.
7+ years of software engineering experience.
2+ years directly managing a team of 5+ engineers, including hiring and developing them.
Significant experience with backend services and distributed systems, including operating customer-facing services at high request volume.
Working knowledge of iOS or Android development.
Experience delivering integrations with external partners, third-party APIs, or SDKs.
Experience shipping products in a regulated environment alongside Legal, Compliance, or bank partners.
Hands-on fluency with AI-assisted engineering tools such as Cursor and Claude Code, with judgment to apply them to planning, coding, triage, and technical decisions.
Experience shaping what a team builds using customer insight, experiments, and business metrics to set priorities and scope lean MVPs.

Nice To Haves

Experience with marketplaces, rewards or loyalty, ad-tech, payments, experimentation, personalization, or ranking systems.

Responsibilities

Lead, coach, and grow a team of backend and mobile engineers, including staff-level tech leads; manage performance expectations, feedback, calibration, leveling, and development plans.
Own team hiring by defining roles, running interview loops, calibrating levels, and closing candidates with full-stack range.
Lead planning and sprint cadence, remove blockers, meet commitments for partner launches and platform work, and report status and risks to leadership.
Partner with the GM on the quarterly roadmap, using member and partner data to develop ideas, assess ROI, and make scope trade-offs explicit.
Measure shipped work using experiments and business metrics such as conversion, partner revenue, and member engagement, and apply results to future priorities.
Contribute to technical direction with staff engineers and architects through design reviews, tech-debt prioritization, and build-versus-buy decisions across partner integrations, rewards, and ranking.
Own operational health for a high-traffic service, including on-call, runbooks, operations reviews, and incident response.
Coordinate team deliverables with Legal, Compliance, Finance, CX, and external partners, and raise dependencies early.
Champion AI-native engineering practices, including spec-driven development and agentic tooling, and coach engineers to use AI rigorously and judiciously.