Senior Manager - AI-Driven Full-Stack Engineering

Socket.dev

Mountain View (CA)

Hybrid

USD 266,000 - 326,000

Full time

9 days ago

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Benefits offered by this job

Equity
Benefits
Hybrid work model

Job summary

EarnIn in Mountain View is seeking an experienced full-stack engineering leader to head the Early Bets team. You will balance hands-on coding with team management, guiding architecture and delivery of early-stage products designed to boost retention and revenue.

You will embed AI-native practices, mentor engineers, and collaborate with peers across product, analytics, and mobile/backend groups to deliver high-impact features at speed.

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science or related field.
  • 7+ years of software engineering experience with leadership in an IC or EM capacity.
  • Ability to architect and write clean, scalable code while mentoring others.
  • Comfort collaborating with PMs, Analysts, and mobile/backend engineers.
  • Experience leading teams delivering high-quality infrastructure outputs.
  • Hands-on fluency with AI-native workflows and tools for planning and coding.

Responsibilities

  • Own performance management lifecycle for the team, including feedback, calibration, and development planning.
  • Partner with product and cross-functional teams to translate goals into strategic technical roadmaps.
  • Drive architecture and implementation of new features with scalable, high-impact design.
  • Recruit and develop a top-tier engineering team and foster a culture of technical excellence.

Skills

Full-stack leadership
Architecture design
Hands-on coding
Cross-functional collaboration
AI-native engineering
Mentoring engineers

Education

CS degree

Tools

Cursor
Claude

Job description

EarnIn in Mountain View is seeking an experienced full-stack engineering leader to head the Early Bets team. You will balance hands-on coding with team management, guiding architecture and delivery of early-stage products designed to boost retention and revenue.

You will embed AI-native practices, mentor engineers, and collaborate with peers across product, analytics, and mobile/backend groups to deliver high-impact features at speed.

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